Nebojša Bačanin Džakula je rođen 13.01.1983. u Beogradu, Srbija.
Naslov doktorske disertacije: "Unapređenje hibridizacijom metaheuristika inteligencije rojeva za rešavanje problema globalne optimizacije".
Mentor: prof. dr Milan Tuba
Član Komisije: Professor XinShe Yang (University of Cambridge, London, UK)
Član Komisije: prof. dr Miodrag Živković
Član Komisije: prof. dr Đorđe Dugošija
Google Scholar Profil: https://scholar.google.com/citations?user=OWHTkaQAAAAJ&hl=en
ResearchGate Profil: https://www.researchgate.net/profile/Nebojsa_Bacanin
Industrijski sertifikati
Microsoft: MOS 2007 Master, MOS 2013 Master, MCSA Windows Server 2008, MCITP Windows Server 2008, MCSA Windows Server 2012
CompTIA: A+ ce, Network + ce, Security + ce, Linux + ce
HP: ATA – Connected Devices, ATA – Networks, ATA – Servers & Storage, ATA – Cloud, ATA – IT for Business, ATA – IT Architect
Oracle: OCA SQL
Ostalo: Oracle Academy instructor  Java, Database Design, SQL Programming, PL/SQL Programming, Certiport testing center proctor, ECDL trainer
Obrazovanje:

Doktorska disertacija
Matematički fakultet, Računarstvo, 20092015
Knjige:
 I. Štrumberger, N. Bačanin DŽakula, Klaud računarstvo, Univerzitet Singidunum, 2021
 M. Dobrojević, N. BačaninDžakula, Veb programiranje, Univerzitet Singidunum, Beograd, 2021
 M. Živković, N. Bačanin Džakula, E. Tuba, Programski jezici, veb servisi i napredno Java programiranje u Spring okruženju, Univerzitet Singidunum, 2019
 N. Bačanin DŽakula, I. Štrumberger, Klaud računarstvo, Univerzitet Singidunum, 2018
 S. Tomic, M. Beko, R. Dinis, M. Tuba, N. Bacanin, RSSAoA based Target Localization and Tracking in Wireless Sensor Networks, River Publisher Series in Comunications, 2017
Radovi u časopisima:
 A. Petrovic, N. Bacanin, L. Jovanovic, J. Cadjenovic, J. Kaljevic, M. Zivkovic, M. Antonijevic, ComputerVision Unmanned Aerial Vehicle Detection System Using YOLOv8 Architectures, International Journal of Robotics and Automation Technology, Vol. 11, pp. 1  12, May, 2024
 N. Bacanin, L. Jovanovic, R. Stoean, C. Stoean, M. Zivkovic, M. Antonijevic, M. Dobrojevic, Respiratory Condition Detection Using Audio Analysis and Convolutional Neural Networks Optimized by Modified Metaheuristics, Axioms, Vol. 13, No. 5:335, pp. 1  31, May, 2024
 L. Jovanovic, R. Damaševičius, R. Matic, M. Kabiljo, V. Simic, G. Kunjadic, M. Antonijevic, M. Zivkovic, N. Bacanin, Detecting Parkinson’s disease from shoemounted accelerometer sensors using convolutional neural networks optimized with modified metaheuristics, PeerJ Computer Science, No. 10:e2031, pp. 1  52, May, 2024
 L. Jovanovic, M. Zivkovic, N. Bacanin, M. Dobrojevic, V. Simic, K. Sadasivuni, E. Tirkolaee, Evaluating the performance of metaheuristictuned weight agnostic neural networks for crop yield prediction, NEURAL COMPUTING AND APPLICATIONS, May, 2024
 L. Jovanovic, N. Bacanin, V. Simic, D. Pamucar, M. Zivkovic, Audio analysis speeding detection techniques based on metaheuristicoptimized machine learning models, ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, Vol. 133, No. 108463, Apr, 2024
 N. Bacanin, M. Perisic, G. Jovanovic, R. Damaševičius, S. Stanisic, V. Simic, M. Zivkovic, A. Stojic, The explainable potential of coupling hybridized metaheuristics, XGBoost, and SHAP in revealing toluene behavior in the atmosphere, SCIENCE OF THE TOTAL ENVIRONMENT, No. 172195, Apr, 2024
 L. Jovanovic, M. Antonijevic, M. Zivkovic, M. Dobrojevic, M. Salb, I. Strumberger, N. Bacanin, Long shortterm memory tuning by enhanced Harris hawks optimization algorithm for crude oil price forecasting, ADVANCES IN COMPUTERS, pp. 1  40, Feb, 2024
 A. Cuk, T. Bezdan, L. Jovanovic, M. Antonijevic, M. Stankovic, V. Simic, M. Zivkovic, N. Bacanin, Tuning attention based longshort term memory neural networks for Parkinson’s disease detection using modified metaheuristics, Scientific Reports, Vol. 14, No. 4309, pp. 1  12, Feb, 2024
 N. Bacanin, C. Stoean, D. Markovic, M. Zivkovic, T. A. Rashid, A. Chhabra, M. Sarac, Improving performance of extreme learning machine for classification challenges by modified firefly algorithm and validation on medical benchmark datasets, MULTIMEDIA TOOLS AND APPLICATIONS, pp. 1  41, Feb, 2024
 M. PavlovKagadejev, L. Jovanovic, N. Bacanin, M. Deveci, M. Zivkovic, M. Tuba, I. Strumberger, W. Pedrycz, Optimizing longshortterm memory models via metaheuristics for decomposition aided wind energy generation forecasting, ARTIFICIAL INTELLIGENCE REVIEW, Vol. 57, No. 45, pp. 1  57, Feb, 2024
 R. Damaševičius, L. Jovanovic, A. Petrovic, M. Zivkovic, N. Bacanin, D. Jovanovic, M. Antonijevic, Decomposition aided attentionbased recurrent neural networks for multistep ahead timeseries forecasting of renewable power generation, PeerJ Computer Science, No. 10:e1795, pp. 1  44, Jan, 2024
 L. Jovanovic, N. Bacanin, V. Simic, J. Mani, M. Zivkovic, M. Sarac, Optimizing machine learning for space weather forecasting and event classification using modified metaheuristics, Soft Computing, pp. 1  20, Dec, 2023
 A. Minic, L. Jovanovic, N. Bacanin, C. Stoean, M. Zivkovic, P. Spalevic, A. Petrovic, M. Dobrojevic, R. Stoean, Applying Recurrent Neural Networks for Anomaly Detection in Electrocardiogram Sensor Data, SENSORS, Vol. 23, No. 24:9878, pp. 1  18, Dec, 2023
 N. Bacanin, V. Simic, M. Zivkovic, M. Alrasheedi, A. Petrovic, Cloud computing load prediction by decomposition reinforced attention long shortterm memory network optimized by modified particle swarm optimization algorithm, ANNALS OF OPERATIONS RESEARCH, Dec, 2023
 M. Salb, L. Jovanovic, N. Bacanin, M. Antonijevic, M. Zivkovic, N. Budimirovic, L. Abualigah, Enhancing Internet of Things Network Security Using Hybrid CNN and XGBoost Model Tuned via Modified Reptile Search Algorithm, Applied Sciences, Vol. 13, No. 23:12687, pp. 1  20, Nov, 2023
 D. Pilcevic, M. Djuric Jovicic, M. Antonijevic, N. Bacanin, L. Jovanovic, M. Zivkovic, M. Dragovic, P. Bisevac, Performance evaluation of metaheuristicstuned recurrent neural networks for electroencephalography anomaly detection, Frontiers in physiology, Vol. 14, No. 1267011, Nov, 2023
 B. Predic, L. Jovanovic, V. Simic, N. Bacanin, M. Zivkovic, P. Spalevic, N. Budimirovic, M. Dobrojevic, Cloudload forecasting via decompositionaided attention recurrent neural network tuned by modified particle swarm optimization, Complex & Intelligent Systems, pp. 1  21, Nov, 2023
 M. Todorovic, N. Stanisic, M. Zivkovic, N. Bacanin, V. Simic, E. B. Tirkolaee, Improving audit opinion prediction accuracy using metaheuristicstuned XGBoost algorithm with interpretable results through SHAP value analysis, Applied Soft Computing, No. 110955, Oct, 2023
 M. Bjekic, A. Lazovic, K. Venkatachalam, N. Bacanin, M. Zivkovic, G. Kvascev, B. Nikolic, Wall segmentation in 2D images using convolutional neural networks, PeerJ Computer Science, No. 9:e1565, pp. 1  18, Sep, 2023
 N. Savanović, A. Toskovic, A. Petrovic, M. Zivkovic, R. Damaševičius, L. Jovanovic, N. Bacanin, B. Nikolic, Intrusion Detection in Healthcare 4.0 Internet of Things Systems via Metaheuristics Optimized Machine Learning, Sustainability, Vol. 15, No. 16:12563, pp. 1  29, Aug, 2023
 A. Petrovic, R. Damaševičius, L. Jovanovic, A. Toskovic, V. Simic, N. Bacanin, M. Zivkovic, P. Spalevic, Marine Vessel Classification and Multivariate Trajectories Forecasting Using MetaheuristicsOptimized eXtreme Gradient Boosting and Recurrent Neural Networks, Applied Sciences, Vol. 13, No. 16:9181, pp. 1  28, Aug, 2023
 B. Radomirović, V. Jovanović, B. Nikolić, S. Stojanović, K. Venkatachalam, M. Zivkovic, A. Njeguš, N. Bacanin, I. Strumberger, Text Document Clustering by Improved Sine Cosine Algorithm, Information Technology and Control, Vol. 52, No. 2, pp. 541  561, Jul, 2023
 L. Jovanovic, D. Jovanovic, M. Antonijevic, B. Nikolic, N. Bacanin, M. Zivkovic, I. Strumberger, Improving Phishing Website Detection Using a Hybrid Twolevel Framework for Feature Selection and XGBoost Tuning, Journal of Web Engineering, Vol. 22, No. 3, pp. 543  574, Jul, 2023
 M. Dobrojevic, M. Zivkovic, A. Chhabra, N. S. Sani, N. Bacanin, M. Mohd Amin, Addressing Internet of Things security by enhanced sine cosine metaheuristics tuned hybrid machine learning model and results interpretation based on SHAP approach, PeerJ Computer Science, No. 9:e1405, pp. 1  47, Jun, 2023
 N. Bacanin, M. Zivkovic, M. Antonijevic, K. Venkatachalam, J. Lee, Y. Nam, M. Marjanovic, I. Strumberger, M. Abouhawwash, Addressing feature selection and extreme learning machine tuning by diversityoriented social network search: an application for phishing websites detection, Complex & Intelligent Systems, pp. 1  36, Jun, 2023
 L. Jovanovic, I. Strumberger, N. Bacanin, M. Zivkovic, M. Antonijevic, P. Bisevac, Tuned long shortterm memory model for Ethereum price forecasting through an arithmetic optimization algorithm, International Journal of Hybrid Intelligent Systems, pp. 1  17, May, 2023
 N. Bacanin, L. Jovanovic, M. Zivkovic, K. Venkatachalam, M. Antonijevic, M. Deveci, I. Strumberger, Multivariate energy forecasting via metaheuristic tuned longshort term memory and gated recurrent unit neural networks, INFORMATION SCIENCES, No. 119122, pp. 1  34, May, 2023
 G. Jovanovic, M. Perisic, N. Bacanin, M. Zivkovic, S. Stanisic, I. Strumberger, F. Alimpic, A. Stojic, Potential of Coupling MetaheuristicsOptimizedXGBoost and SHAP in Revealing PAHs Environmental Fate, Toxics, Vol. 11, No. 4, 394, pp. 1  25, Apr, 2023
 K. Venkatachalam, P. Trojovský, D. Pamucar, Nebojsa Bacanin, V. Simic, DWFH: An improved datadriven deep weather forecasting hybrid model using Transductive Long Short Term Memory (TLSTM), EXPERT SYSTEMS WITH APPLICATIONS, Vol. 213, pp. 119270  119270, Apr, 2023
 S. Bosković, L. Švadlenka, S. Jovčić, M. Dobrodolac, V. Simić, Nebojsa Bacanin, An Alternative Ranking Order Method Accounting for TwoStep Normalization (AROMAN)–A Case Study of the Electric Vehicle Selection Problem, IEEE Access, Vol. 10, Apr, 2023
 S. B. Balaji, W. Paja, M. Antonijevic, C. Stoean, N. Bacanin, M. Zivkovic, IoT Integrated Edge Platform for Secure Industrial Application with Deep Learning, Humancentric Computing and Information Sciences, Vol. 13, No. 19, pp. 1  18, Apr, 2023
 N. Bacanin, N. Budimirovic, K. Venkatachalam, H. Shaker Jassim, M. Zivkovic, S.S. Askar, M. Abouhawwash, Quasireflection Learning Arithmetic Optimization Algorithm Firefly Search for Feature Selection, Heliyon, Vol. 9, No. e15378, pp. 1  14, Apr, 2023
 N. Bacanin, K. Venkatachalam, T. Bezdan, M. Zivkovic, M. Abouhawwash, A novel firefly algorithm approach for efficient feature selection with COVID19 dataset, MICROPROCESSORS AND MICROSYSTEMS, Vol. 98, No. 104778, pp. 1  21, Apr, 2023
 C. Stoean, M. Zivkovic, A. Bozovic, N. Bacanin, R. StrulakWójcikiewicz, M. Antonijevic, R. Stoean, MetaheuristicBased Hyperparameter Tuning for Recurrent Deep Learning: Application to the Prediction of Solar Energy Generation, Axioms, Vol. 12, No. 3, 266, pp. 1  33, Mar, 2023
 L. Jovanovic, N. Bacanin, M. Zivkovic, M. Antonijevic, B. Jovanovic, M. Bogicevic Sretenovic, I. Strumberger, Machine learning tuning by diversity oriented firefly metaheuristics for Industry 4.0, Expert Systems, No. e13293, pp. 1  33, Mar, 2023
 Nebojsa Bacanin, N. Budimirovic, Ivana Strumberger, A. Adel Fahad Alrasheed, M. Abouhawwash, Novel chaotic oppositional fruit fly optimization algorithm for feature selection applied on COVID 19 patients’ health prediction, PLOS ONE, Vol. 17, No. 10, pp. e0275727  e0275727, Feb, 2023
 C. Rahman, T. Rashi, A. Alsadoon, Nebojsa Bacanin, P. Fattah, S. Mirjalili, A survey on dragonfly algorithm and its applications in engineering, Evolutionary Intelligence, Vol. 16, No. 1, pp. 1  21, Feb, 2023
 N. Bacanin, C. Stoean, M. Zivkovic, M. Rakic, R. StrulakWójcikiewicz, R. Stoean, On the Benefits of Using Metaheuristics in the Hyperparameter Tuning of Deep Learning Models for Energy Load Forecasting, Energies, Vol. 16, No. 3, 1434, pp. 1  21, Feb, 2023
 L. Jovanovic, G. Jovanovic, M. Perisic, F. Alimpic, S. Stanisic, N. Bacanin, M. Zivkovic, A. Stojic, The Explainable Potential of Coupling MetaheuristicsOptimizedXGBoost and SHAP in Revealing VOCs’ Environmental Fate, Atmosphere, Vol. 14, No. 1, 109, pp. 1  27, Jan, 2023
 K. Baalamurugan, Nebojsa Bacanin, K. Venkatachalam, S. Askar, M. Abouhawwash, Blockchainenabled Kharmonic framework for industrial IoTbased systems, Scientific Reports, Vol. 18, No. 1, pp. 1004  1004, Jan, 2023
 K. Venkattachalam, Z. Yang, P. Trojovský, Nebojsa Bacanin, M. Deveci, W. Ding, Bimodal HARAn efficient approach to human activity analysis and recognition using bimodal hybrid classifiers, INFORMATION SCIENCES, Vol. 628, pp. 542  557, Jan, 2023
 R. Damaševičius, Nebojsa Bacanin, S. Misra, From Sensors to Safety: Internet of Emergency Services (IoES) for Emergency Response and Disaster Management, Journal of Sensor and Actuator Networks, Vol. 12, No. 3, pp. 41  41, 2023
 M. Mravik, M. Šarac, Nebojsa Bacanin, S. Adamović, Distance Learning in Difficult Conditions Due to the Pandemic State of Emergency, Journal of Internet technology, Vol. 24, No. 3, 2023
 M. Sarac, M. Mravik, D. Jovanovic, I. Strumberger, M. Zivkovic, N. Bacanin, Intelligent diagnosis of coronavirus with computed tomography images using a deep learning model, JOURNAL OF ELECTRONIC IMAGING, Vol. 32, No. 2, 021406, pp. 1  10, Nov, 2022
 M. Zivkovic, N. Bacanin, M. Antonijevic, B. Nikolic, G. Kvascev, M. Marjanovic, N. Savanovic, Hybrid CNN and XGBoost Model Tuned by Modified Arithmetic Optimization Algorithm for COVID19 Early Diagnostics from Xray Images, ELECTRONICS, Vol. 11, No. 22, 3798, pp. 1  30, Nov, 2022
 N. Bacanin, M. Zivkovic, C. Stoean, M. Antonijevic, S. Janicijevic, M. Sarac, I. Strumberger, Application of Natural Language Processing and Machine Learning Boosted with Swarm Intelligence for Spam Email Filtering, Mathematics, Vol. 10, No. 22, pp. 1  32, Nov, 2022
 L. Jovanovic, D. Jovanovic, N. Bacanin, A. Jovancai Stakic, M. Antonijevic, H. Magd, R. Thirumalaisamy, M. Zivkovic, MultiStep Crude Oil Price Prediction Based on LSTM Approach Tuned by Salp Swarm Algorithm with Disputation Operator, Sustainability, Vol. 14, No. 21, pp. 1  29, Nov, 2022
 M. T Abdulkhaleq, T. Rashid, A. Alsadoon, B. A Hassan, M. Mohammadi, J. Jaza, A. Chhabra, S. L Ali, R. N Othman, H. A Hasan, S. Azad, N. A Mahmood, S. Sivan, H. Hezha, S. Vimal, Nebojsa Bacanin, Harmony search: Current studies and uses on healthcare systems, ARTIFICIAL INTELLIGENCE IN MEDICINE, Vol. 5, pp. 102348  102348, Jul, 2022
 M. Ramanan, L. Singh, A. Kumar, A. Suresh, A. Sampathkumar, V. Jain, N. Bacanin, Secure blockchain enabled CyberPhysical health systems using ensemble convolution neural network classification, COMPUTERS & ELECTRICAL ENGINEERING, Vol. 101, pp. 108058  108058, Jul, 2022
 M. Antonijevic, I. Stumberger, S. Lazarevic, N. Bacanin, Dj. Mladenovic, D. Jovanovic, Robust encrypted face recognition robot based on bit slicing and Fourier transform for cloud environments, JOURNAL OF ELECTRONIC IMAGING, Vol. 31, No. 6, pp. 1  13, Jun, 2022
 D. Jovanovic, M. Antonijevic, M. Stankovic, M. Zivkovic, M. Tanaskovic, N. Bacanin, Tuning Machine Learning Models Using a Group Search Firefly Algorithm for Credit Card Fraud Detection, Mathematics, Vol. 10, No. 13, pp. 1  30, Jun, 2022
 N. Bacanin, C. Stoean, M. Zivkovic, D. Jovanovic, M. Antonijevic, D. Mladenovic, MultiSwarm Algorithm for Extreme Learning Machine Optimization, SENSORS, Vol. 22, No. 11, pp. 1  34, May, 2022
 A. Chhabra, K. Huang, N. Bačanin, T. Rashid, Optimizing bagoftasks scheduling on cloud data centers using hybrid swarmintelligence metaheuristic, JOURNAL OF SUPERCOMPUTING, Vol. 78, No. 7, pp. 9121  9183, May, 2022
 N. Bacanin, M. Antonijevic, T. Bezdan, M. Zivkovic, K. Venkatachalam, S. Malebary, Energy efficient offloading mechanism using particle swarm optimization in 5G enabled edge nodes, Cluster Computing, pp. 1  12, May, 2022
 S. Arumugam, S. Shandilya, Nebojsa Bacanin, Federated LearningBased Privacy Preservation with Blockchain Assistance in IoT 5G Heterogeneous Networks, Journal of Web Engineering, Apr, 2022
 S. Arumugam, S. Kumar Shandilya, N. Bacanin, Federated LearningBased Privacy Preservation with Blockchain Assistance in IoT 5G Heterogeneous Networks, Journal of Web Engineering, pp. 1323  1346, Apr, 2022
 M. Zivkovic, M. Tair, K. Venkatachalam, N. Bacanin, S. Hubálovský, P. Trojovský, Novel hybrid firefly algorithm: an application to enhance XGBoost tuning for intrusion detection classification, PeerJ Computer Science, No. 8:e956, pp. 1  38, Apr, 2022
 T. Bezdan, M. Zivkovic, N. Bacanin, A. Chhabra, M. Suresh, Feature Selection by Hybrid Brain Storm Optimization Algorithm for COVID19 Classification, JOURNAL OF COMPUTATIONAL BIOLOGY, pp. 1  15, Apr, 2022
 N. Bacanin, M. Zivkovic, F. AlTurjman, K. Venkatachalam, P. Trojovský, I. Strumberger, T. Bezdan, Hybridized sine cosine algorithm with convolutional neural networks dropout regularization application, Scientific Reports, Vol. 12, No. 6302, pp. 1  20, Apr, 2022
 N. Bacanin, Hybrid multi agent optimization for optimal battery storage using micro grid, EXPERT SYSTEMS, pp. e12995  e12995, Mar, 2022
 Milos Dobrojevic, Nebojsa Bacanin, IoT as a Backbone of Intelligent Homestead Automation, ELECTRONICS, Vol. 11, No. 7, pp. 1004  1004, Mar, 2022
 R. S. Latha, B. Saravana Balaji, N. Bacanin, I. Strumberger, M. Zivkovic, M. Kabiljo, Feature Selection Using Grey Wolf Optimization with Random Differential Grouping, COMPUTER SYSTEMS SCIENCE AND ENGINEERING, Vol. 43, No. 1, pp. 317  332, Mar, 2022
 N. Bacanin, M. Sarac, N. Budimirovic, M. Zivkovic, A. AlZubi, A. Bashir, SMART WIRELESS HEALTH CARE SYSTEM USING GRAPH LSTM POLLUTION PREDICTION AND DRAGONFLY NODE LOCALIZATION, Sustainable Computing: Informatics and Systems, pp. 1  8, Mar, 2022
 N. Budimirovic, E. Prabhu, M. Antonijevic, M. Zivkovic, N. Bacanin, I. Strumberger, K. Venkatachalam, COVID19 Severity Prediction Using Enhanced Whale with Salp Swarm Feature Classification, CMCComputers, Materials & Continua, Vol. 72, No. 1, pp. 1685  1698, Feb, 2022
 S. Suganthi, M. Ahamed Ayoobkhan, N. Bacanin, K. Venkatachalam, S. Hubálovský, P. Trojovský, Deep learning model for deep fake face recognition and detection, PeerJ Computer Science, Vol. 8, pp. e881  e881, Feb, 2022
 M. Zivkovic, C. Stoean, A. Chhabra, N. Budimirovic, A. Petrovic, N. Bacanin, Novel Improved Salp Swarm Algorithm: An Application for Feature Selection, SENSORS, Vol. 22, No. 5, pp. 1  25, Feb, 2022
 N. Bacanin, M. Zivkovic, T. Bezdan, K. Venkatachalam, M. Abouhawwash, Modified firefly algorithm for workflow scheduling in cloudedge environment, NEURAL COMPUTING AND APPLICATIONS, pp. 1  26, Feb, 2022
 M. Tair, N. Bacanin, M. Zivkovic, K. Venkatachalam, A Chaotic Oppositional Whale Optimisation Algorithm with Firefly Search for Medical Diagnostics, CMCComputers, Materials & Continua, Vol. 72, No. 1, pp. 959  982, Jan, 2022
 S. Kazhan, T. Rashid, D. Radovanović, N. Bacanin, A Comprehensive Survey on the Internet of Things with the Industrial Marketplace, SENSORS, Vol. 22, No. 3, pp. 730  730, 2022
 T. Bezdan, M. Zivkovic, N. Bacanin, I. Strumberger, E. Tuba, M. Tuba, Multiobjective task scheduling in cloud computing environment by hybridized bat algorithm, JOURNAL OF INTELLIGENT AND FUZZY SYSTEMS, Vol. 42, No. 1, pp. 411  423, 2022
 R. Punithavathi, M. Kowsigan, R. Shanthakumari, M. Zivkovic, N. Bacanin, M. Sarac, Protecting Data Mobility in Cloud Networks Using Metadata Security, COMPUTER SYSTEMS SCIENCE AND ENGINEERING, Vol. 42, No. 1, pp. 105  120, 2022
 S. Prakash, M. Vinoth Kumar, R. Saravana Ram, M. Zivkovic, N. Bacanin, M. Antonijevic, Hybrid GLFIL Enhancement and Encoder Animal Migration Classification for Breast Cancer Detection, COMPUTER SYSTEMS SCIENCE AND ENGINEERING, Vol. 41, No. 2, pp. 735  749, 2022
 G. R. Sreekanth, S. Ahmed Najat Ahmed, M. Sarac, I. Strumberger, N. Bacanin, M. Zivkovic, Mobile Fog Computing by Using SDN/NFV on 5G Edge Nodes, COMPUTER SYSTEMS SCIENCE AND ENGINEERING, Vol. 41, No. 2, pp. 751  765, 2022
 N. Bacanin, K. Alhazmi, M. Zivkovic, K. Venkatachalam, T. Bezdan, J. Nebhen, Training MultiLayer Perceptron with Enhanced Brain Storm Optimization Metaheuristics, CMCComputers, Materials & Continua, Vol. 70, No. 2, pp. 4199  4215, 2022
 N. Bacanin, T. Bezdan, K. Venkatachalam, M. Zivkovic, I. Strumberger, M. Abouhawwash, A. Ahmed, Artificial Neural Networks Hidden Unit and Weight Connection Optimization by QuasiRefectionBased Learning Artificial Bee Colony Algorithm, IEEE Access, pp. 1  24, Dec, 2021
 M. Mravik, M. Šarac, N. Bacanin, S. Adamović, T. Vetriselvi, K. Venkatachalam, Diabetes Prediction Algorithm Using Recursive Ridge Regression L2, Computers, Materials & Continua, Vol. 71, No. 1, pp. 457  471, Nov, 2021
 N. Bacanin, R. Stoean, M. Zivkovic, A. Petrovic, T. A. Rashid, T. Bezdan, Performance of a Novel Chaotic Firefly Algorithm with Enhanced Exploration for Tackling Global Optimization Problems: Application for Dropout Regularization, Mathematics, Vol. 9, No. 21, pp. 1  33, Oct, 2021
 J. Basha, N. Bacanin, N. Vukobrat, M. Zivkovic, K. Venkatachalam, S. Hubálovský, P. Trojovský, Chaotic Harris Hawks Optimization with QuasiReflectionBased Learning: An Application to Enhance CNN Design, SENSORS, Vol. 21, No. 19, pp. 1  33, Oct, 2021
 C. Rahman, T. Rashid, A. Alsadoon, N. Bacanin, P. Fattah, S. Mirjalili, A survey on dragonfly algorithm and its applications in engineering, Evolutionary Intelligence, pp. 1  21, Aug, 2021
 R. Gopi, S. Suganthi, R. Rajadevi, P. Johnpaul, Nebojsa Bacanin, S. Kannimuthu, An enhanced green cloud based queue management (GCQM) system to optimize energy consumption in mobile edge computing, WIRELESS PERSONAL COMMUNICATIONS, Vol. 117, pp. 3397  3419, Aug, 2021
 K. Venkatachalam, S. Siuly, N. Bacanin, S. Hubálovský, P. Trojovský, An Efficient Gabor WalshHadamard Transform Based Approach for Retrieving Brain Tumor Images From MRI, IEEE Access, Vol. 9, pp. 119078  119089, Aug, 2021
 T. Bezdan, C. Stoean, A. Al Naamany, N. Bacanin, T. A. Rashid, M. Zivkovic, K. Venkatachalam, Hybrid FruitFly Optimization Algorithm with KMeans for Text Document Clustering, Mathematics, Vol. 9, No. 16, pp. 1  19, Aug, 2021
 M. Šarac, N. Pavlović, N. Bačanin Džakula, F. AlTurjman, S. Adamović, Increasing privacy and security by integrating a Blockchain Secure Interface into an IoT Device Security Gateway Architecture, Energy Reports , pp. 7  17, Aug, 2021
 N. Budimirovic, N.Bacanin, Novel Algorithms for Graph Clustering Applied to Human Activities, Mathematics, Vol. 9, No. 10, pp. 1089  1089, May, 2021
 N.Bacanin, T. Bezdan, K. Venkatachalam, F. AlTurjman, Optimized convolutional neural network by firefly algorithm for magnetic resonance image classification of glioma brain tumor grade, Journal of RealTime Image Processing, pp. 1  14, Apr, 2021
 H. Mohammed, A. Zral Kh., T. Rashid, A. Alsadoon, N.Bacanin, A new Kmeans grey wolf algorithm for engineering problems, World Journal of Engineering, pp. 1  14, Mar, 2021
 K. Umapathi, V. Vanitha, L. Anbarasu, M. Zivkovic, N. Bacanin, M. Antonijevic, Predictive data regression technique based carbon nanotube biosensor for efficient patient health monitoring system, Journal of Ambient Intelligence and Humanized Computing, pp. 1  8, Mar, 2021
 M. Zivkovic, N. Bacanin, K. Venkatachalam, A. Nayyar, A. Djordjevic, I. Strumberger, F. AlTurjman, COVID19 cases prediction by using hybrid machine learning and beetle antennae search approach, Sustainable Cities and Society, Vol. 66, No. 102669, pp. 0  0, Mar, 2021
 R. Gopi, S. Suganthi, R. Rajadevi, P. Johnpaul, N.Bacanin, S. Kannimuthu, An Enhanced Green Cloud Based Queue Management (GCQM) System to Optimize Energy Consumption in Mobile Edge Computing, WIRELESS PERSONAL COMMUNICATIONS, Vol. 117, pp. 3397  3419, Feb, 2021
 S. Subramanian, R. Mohan, S.K. Shanmugam, N. Bacanin, M. Zivkovic, I. Strumberger, Speed control and quantum vibration reduction of Brushless DC Motor using FPGA based Dynamic Power Containment Technique, Journal of Ambient Intelligence and Humanized Computing, pp. 1  15, Feb, 2021
 V. Kandasamy, P. Trojovský, F. Machot, K. Kyamakya, Nebojsa Bacanin, S. Askar, M. Abouhawwash, Sentimental Analysis of COVID19 Related Messages in Social Networks by Involving an NGram Stacked Autoencoder Integrated in an Ensemble Learning Scheme, SENSORS, Vol. 21, No. 22, pp. 7582  7582, Jan, 2021
 R. Saravana Ram, M. V. Kumar, B. Subramanian, N. Bacanin, M. Zivkovic, I. Strumberger, Speech enhancement through improvised conditional generative adversarial networks, MICROPROCESSORS AND MICROSYSTEMS, Vol. 79, pp. 0  0, Nov, 2020
 D. Muhammed, T. Rashid, A. Alsadoon, N. Bacanin, P. Fattah, M. Mohammadi, I. Banerjee, An Improved Simulation Model for Pedestrian Crowd Evacuation, Mathematics, Vol. 8, No. 12, pp. 2171  2171, Nov, 2020
 N. Bacanin, T. Bezdan, E. Tuba, I. Strumberger, M. Tuba, Monarch Butterfly Optimization Based Convolutional Neural Network Design, Mathematics, Vol. 8, No. 6, pp. 936  936, Jun, 2020
 N. Bacanin, T. Bezdan, E. Tuba, I. Strumberger, M. Tuba, Optimizing Convolutional Neural Network Hyperparameters by Enhanced Swarm Intelligence Metaheuristics, Algorithms, Vol. 13, No. 6, pp. 67:1  67:33, Mar, 2020
 I.Strumberger, N. Bacanin, M. Tuba, E. Tuba, Resource Scheduling in Cloud Computing Based on a Hybridized Whale Optimization Algorithm, Applied Sciences, Vol. 9, No. 22, pp. 4893  4893, Nov, 2019
 I. Strumberger, M. Tuba, N. Bacanin, E. Tuba, Cloudlet Scheduling by Hybridized Monarch Butterfly Optimization Algorithm, Journal of Sensor and Actuator Networks, Vol. 8, No. 3, pp. 44  44, Aug, 2019
 Ivana Strumberger, Miroslav Minovic, Milan Tuba, Nebojsa Bacanin, Performance of Elephant Herding Optimization and Tree Growth Algorithm Adapted for Node Localization in Wireless Sensor Networks, SENSORS, Vol. 19, No. 11, pp. 2515  2515, Jun, 2019
 I. Strumberger, M. Sarac, D. Markovic, N. Bacanin, Hybridized Monarch Butterfly Algorithm for Global Optimization Problems, International Journal of Computers , Vol. 3, pp. 63  68, Apr, 2018
 I. Strumberger, M. Sarac, D. Markovic, N. Bacanin, Moth Search Algorithm for Drone Placement Problem, International Journal of Computers, Vol. 3, pp. 75  80, Apr, 2018
 I. Strumberger, N. Bacanin, Modified Moth Search Algorithm for Global Optimization Problems, International Journal of Computers, Vol. 3, pp. 44  48, Mar, 2018
 O. Magud, E. Tuba, N. Bacanin, Medical Ultrasound Image Speckle Noise Reduction by Adaptive Median Filter, WSEAS Transactions on Biology and Biomedicine, Vol. 14, pp. 38  46, 2017
 S. Tomic, M. Beko, R. Dinis, M. Tuba, N. Bacanin, Bayesian methodology for target tracking using combined RSS and AoA measurements, Physical Communication, Vol. 25, No. 1, pp. 158  166, 2017
 O. Magud, E. Tuba, N. Bacanin, An Algorithm for Medical Ultrasound Image Enhancement by Speckle Noise Reduction, International Journal of Signal Processing, Vol. 1, pp. 146  151, 2016
 N. Bacanin, M. Tuba, Firefly Algorithm for Cardinality Constrained MeanVariance Portfolio Optimization Problem with Entropy Diversity Constraint, The Scientific World Journal, Vol. 2014, No. ID 721521, pp. 1  16, Nov, 2014
 M. Tuba, N. Bacanin, Improved seeker optimization algorithm hybridized with firefly algorithm for constrained optimization problems, NEUROCOMPUTING, Vol. 143, pp. 197  207, Nov, 2014
 M. Tuba, N. Bacanin, Artificial bee colony algorithm hybridized with firefly metaheuristic for cardinality constrained meanvariance portfolio problem, Applied Mathematics and Information Sciences, Vol. 8, No. 6, pp. 2831  2844, Nov, 2014
 N. Bacanin, M. Tuba, B. Pelevic, Constrained portfolio selection using artificial bee colony (ABC) algorithm, International Journal of Mathematical Models and Methods in Applied Sciences, Vol. 8, pp. 190  198, 2014
 M. Tuba, N. Bacanin, B. Pelevic, Krill herd (KH) algorithm applied to the constrained portfolio selection problem, International Journal of Mathematics and Computers in Simulation, Vol. 8, pp. 94  102, 2014
 M. Tuba, N. Bacanin, N. Stanarevic, Multithreaded implementation and performance of a modified artificial fish swarm algorithm for unconstrained optimization, International Journal of Mathematics and Computers in Simulation, Vol. 7, No. 3, pp. 215  222, 2013
 M. Tuba, N. Bacanin, B. Pelevic, Framework for constrained portfolio selection by the firefly algorithm, International Journal of Mathematical Models and Methods in Applied Sciences, Vol. 7, No. 10, pp. 888  896, 2013
 N. Bacanin, M. Tuba, Artificial Bee Colony (ABC) Algorithm for Constrained Optimization Improved with Genetic Operators, STUDIES IN INFORMATICS AND CONTROL, Vol. 21, No. 2, pp. 137  146, Jun, 2012
 M. Tuba, N. Bacanin, N. Stanarevic, Adjusted artificial bee colony (ABC) algorithm for engineering problems, WSEAS Transaction on Computers, Vol. 11, No. 4, pp. 111  120, Apr, 2012
 N. Bacanin, Implementation and Performance of an ObjectOriented Software System for Cuckoo Search Algorithm, International Journal of Mathematics and Computers in Simulation, Vol. 6, No. 1, pp. 185  193, Mar, 2012
 N. Bacanin, M. Tuba, I. Brajevic, Performance of objectoriented software system for improved artificial bee colony optimization, International Journal of Mathematics and Computers in Simulation, Vol. 5, No. 2, pp. 154  162, 2011
 N. Stanarevic, M. Tuba, N. Bacanin, Modified artificial bee colony algorithm for constrained problems optimization, International Journal of Mathematical Models and Methods in Applied Sciences, Vol. 5, No. 3, pp. 644  651, 2011
Radovi na konferencijama:
 N. Bacanin, A. Petrovic, L. Jovanovic, M. Zivkovic, T. Zivkovic, M. Sarac, Parkinson’s Disease Induced Gain Freezing Detection using Gated Recurrent Units Optimized by Modified Crayfish Optimization Algorithm, 2024 5th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI), IEEE, Lalitpur, Nepal, pp. 1  8, Jan, 2024
 L. Jovanovic, A. Petrovic, T. Zivkovic, M. Antonijevic, N. Bacanin, M. Zivkovic, Exploring the Potential of Generative Adversarial Networks for Synthetic Medical Data Generation, 2023 31st Telecommunications Forum (TELFOR), IEEE, Belgrade, Serbia, pp. 1  4, Nov, 2023
 L. Jovanovic, N. Bacanin, M. Zivkovic, M. Antonijevic, A. Petrovic, T. Zivkovic, Anomaly detection in ECG using recurrent networks optimized by modified metaheuristic algorithm, 2023 31st Telecommunications Forum (TELFOR), IEEE, Belgrade, Serbia, pp. 1  4, Nov, 2023
 M. Zivkovic, L. Jovanovic, M. Pavlov, N. Bacanin, M. Dobrojevic, M. Salb, Optimized recurrent neural networks with attention for wind farm energy generation forecasting, 2023 16th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS), IEEE, Nis, Serbia, pp. 187  190, Oct, 2023
 L. Jovanovic, N. Bacanin, M. Zivkovic, J. Mani, I. Strumberger, M. Antonijevic, Comparison of YOLO architectures for face mask detection in images, 2023 16th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS), IEEE, Nis, Serbia, pp. 179  182, Oct, 2023
 N. Bacanin, L. Jovanovic, M. Zivkovic, M. Salb, A. Elsadai, M. Sarac, Decomposition aided cloud load forecasting with optimized longshort term memory networks, 2023 16th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS), IEEE, Nis, Serbia, pp. 191  194, Oct, 2023
 M. Todorovic, A. Petrovic, A. Toskovic, M. Zivkovic, L. Jovanovic, N. Bacanin, Multivariate Bitcoin price prediction based on LSTM tuned by hybrid reptile search algorithm, 2023 16th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS), IEEE, Nis, Serbia, pp. 195  198, Oct, 2023
 L. Jovanovic, M. Zivkovic, N. Budimirovic, A. Petrovic, I. Strumberger, N. Bacanin, Metaheuristic Optimized Extreme Gradient Boosting for Solar Flare Prediction, 2023 16th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS), IEEE, Nis, Serbia, pp. 183  186, Oct, 2023
 B. Radomirovic, L. Jovanovic, C. Stoean, M. Zivkovic, A. Njegus, N. Bacanin, Solar Flare Classification using Modified Metaheuristic Optimized XGBoost, 25th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), Nancy, France, pp. 287  292, Sep, 2023
 A. Jovanovic, T. Dogandzic, M. Dobrojevic, M. Sarac, N. Bacanin, M. Zivkovic, Gold Prices Forecasting Using Recurrent Neural Network with Attention Tuned by Metaheuristics, 2023 IEEE World Conference on Applied Intelligence and Computing (AIC), Sonbhadra, India, pp. 345  350, Jul, 2023
 S. Golubovic, L. Jovanovic, B. Radomirovic, A. Njegus, M. Zivkovic, N. Bacanin, Evolving Deep Neural Network Architectures by Sine Cosine Algorithm for Healthcare 4.0, 2023 IEEE International Conference on Contemporary Computing and Communications (InC4), Bangalore, India, pp. 1  6, Apr, 2023
 M. Stankovic, N. Bacanin, N. Budimirovic, M. Zivkovic, M. Sarac, I. Strumberger, BiDirectional Long ShortTerm Memory Optimization by Improved TeachingLearning Based Algorithm for Univariate Gold Price Forecasting, 2023 IEEE International Conference on Inventive Computation Technologies (ICICT), Lalitpur, Nepal, pp. 1650  1657, Apr, 2023
 L. Jovanovic, M. Kljajic, V. Mizdrakovic, V. Marevic, M. Zivkovic, N. Bacanin, Predicting Credit Card Churn: Application of XGBoost Tuned by Modified Sine Cosine Algorithm, 3rd International Conference on Smart Data Intelligence (ICSMDI), Trichy, India, pp. 55  62, Mar, 2023
 N. Milutinovic, S. Cabarkapa, M. Zivkovic, M. Antonijevic, D. Mladenovic, N. Bacanin, Tuning Artificial Neural Network for Healthcare 4.0. by Sine Cosine Algorithm, 2023 International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT), Bengaluru, India, pp. 510  513, Jan, 2023
 M. Zivkovic, N. Bacanin, A. Rakic, J. Arandjelovic, S. Stanojlovic, K. Venkatachalam, Chaotic Binary Ant Lion Optimizer Approach for Feature Selection on Medical Datasets with COVID19 Case Study, 2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), Trichy, India, pp. 581  588, Nov, 2022
 M. Stankovic, N. Bacanin, M. Zivkovic, L. Jovanovic, J. P. Mani, M. Antonijevic, Forecasting Ethereum Price by Tuned Long ShortTerm Memory Model, 2022 30th Telecommunications Forum (TELFOR), Beograd, pp. 1  4, Nov, 2022
 M. Stankovic, M. Antonijevic, N. Bacanin, M. Zivkovic, M. Tanaskovic, D. Jovanovic, Feature Selection by Hybrid Artificial Bee Colony Algorithm for Intrusion Detection, 2022 International Conference on Edge Computing and Applications (ICECAA), IEEE, pp. 500  505, Oct, 2022
 L. Jovanovic, D. Jovanovic, M. Antonijevic, M. Zivkovic, N. Budimirovic, I. Strumberger, N. Bacanin, The XGBoost Tuning by Improved Firefly Algorithm for Network Intrusion Detection, 24th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), Hagenberg / Linz, Austria, pp. 268  275, Sep, 2022
 D. Jovanovic, M. Marjanovic, M. Antonijevic, M. Zivkovic, N. Budimirovic, N. Bacanin, Feature Selection by Improved Sand Cat Swarm Optimizer for Intrusion Detection, 2022 International Conference on Artificial Intelligence in Everything (AIE), IEEE, pp. 685  690, Aug, 2022
 M. Salb, N. Bacanin, M. Zivkovic, M. Antonijevic, M. Marjanovic, I. Strumberger, Extreme learning machine tuning by original sine cosine algorithm, 2022 IEEE World Conference on Applied Intelligence and Computing (AIC), IEEE, pp. 143  148, Jun, 2022
 A. Petrovic, N. Bacanin, M. Zivkovic, M. Marjanovic, M. Antonijevic, I. Strumberger, The AdaBoost Approach Tuned by Firefly Metaheuristics for Fraud Detection, 2022 IEEE World Conference on Applied Intelligence and Computing (AIC), IEEE, pp. 834  839, Jun, 2022
 N. Milutinović, M. Gajević, J. Krstović, A. Petrović, N. Bačanin Džakula, M. Antonijević, Performance of Arithmetic Optimization Algorithm for ELM Tuning Applied to IoT security, pp. 1  4, 2022
 L. Jovanović, B. Al Barwani, E. Al Maani, M. Živković, N. Bačanin Džakula, Arithmetic Optimization Algorithm for Spam Detection, Sinteza 2022  International Scientific Conference on Information Technology and Data Related Research, pp. 406  413, 2022
 M. Zivkovic, C. Stoean, A. Petrovic, N. Bacanin, I. Strumberger, T. Zivkovic, A Novel Method for COVID19 Pandemic Information Fake News Detection Based on the Arithmetic Optimization Algorithm, 2021 23rd International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), pp. 259  266, Dec, 2021
 I. Strumberger, A. Rakic, S. Stanojlovic, J. Arandjelovic, T. Bezdan, M. Zivkovic, N. Bacanin, Feature Selection by Hybrid Binary Ant Lion Optimizer with COVID19 dataset, 29th Telecommunications Forum (TELFOR) 2021, Beograd, pp. 1  4, Nov, 2021
 V. Radović, N. Bačanin Džakula, M. Živković, Challenges in Wireless Sensor Networks  Overview, Sinteza 2021  International Scientific Conference on Information Technology and Data Related Research, pp. 308  314, Jun, 2021
 M. Salb, A. Elsadai, M. Živković, N. Bačanin Džakula, Cryptocurrency Forecasting Using Optimized Support Vector Machine with Sine Cosine Metaheuristics Algorithm, Sinteza 2021  International Scientific Conference on Information Technology and Data Related Research, pp. 315  321, Jun, 2021
 M. Zivkovic, T. Zivkovic, N. Bacanin, I. Strumberger, NatureInspired Approaches in Software Testing Optimization, Sinteza 2021  International Scientific Conference on Information Technology and Data Related Research, pp. 28  33, Jun, 2021
 T. Bezdan, A. Petrovic, M. Zivkovic, I. Strumberger, V Kanchana Devi, N. Bacanin, Current Best OppositionBased Learning Salp Swarm Algorithm for Global Numerical Optimization, 2021 Zooming Innovation in Consumer Technologies Conference (ZINC), IEEE, pp. 5  10, May, 2021
 T. Bezdan, S. Milosevic, K. Venkatachalam, M. Zivkovic, N. Bacanin, I. Strumberger, Optimizing Convolutional Neural Network by Hybridized Elephant Herding Optimization Algorithm for Magnetic Resonance Image Classification of Glioma Brain Tumor Grade, 2021 Zooming Innovation in Consumer Technologies Conference (ZINC), IEEE, pp. 171  176, May, 2021
 T. Bezdan, D. Cvetnic, L. Gajic, M. Zivkovic, I. Strumberger, N. Bacanin, Feature Selection by Firefly Algorithm with Improved Initialization Strategy, ECBS 2021: 7th Conference on the Engineering of Computer Based Systems, Association for Computing Machinery, pp. 1  8, May, 2021
 A. Petrović, M. Živković, N. Bačanin Džakula, Singibot  a student services chatbot, Sinteza 2020, Oct, 2020
 L. Gajić, D. Cvetnić, T. Bezdan, M. Živković, N. Bačanin, Multilayer perceptron training by genetic algorithms, Sinteza 2020, Oct, 2020
 N. Bacanin, E. Tuba, T. Bezdan, I. Strumberger, R. Jovanovic, M. Tuba, Dropout Probability Estimation in Convolutional Neural Networks by the Enhanced Bat Algorithm, 2020 IEEE International Joint Conference on Neural Networks (IJCNN), Glasgow, UK, pp. 1  7, Jul, 2020
 M. Živković, N. Bačanin, E. Tuba, I. Štrumberger, T. Bezdan, M. Tuba, Wireless Sensor Networks Life Time Optimization Based on the Improved Firefly Algorithm, 2020 International Wireless Communications and Mobile Computing (IWCMC), pp. 1176  1181, Jun, 2020
 M. Zivkovic, N. Bacanin, T. Zivkovic, I. Strumberger, E. Tuba, M. Tuba, Enhanced Grey Wolf Algorithm for Energy Efficient Wireless Sensor Networks, 2020 IEEE Zooming Innovation in Consumer Technologies Conference (ZINC), Novi Sad, Serbia, pp. 87  92, May, 2020
 M. Živković, N. Bačanin, T. Živković, I. Štrumberger, E. Tuba, M. Tuba, Enhanced Grey Wolf Algorithm for Energy Efficient Wireless Sensor Networks, Zooming Innovation in Consumer Technologies, IEEE ZINC 2020, May, 2020
 N. Bacanin, T. Bezdan, E. Tuba, I. Strumberger, M. Tuba, M. Živković, Task Scheduling in Cloud Computing Environment by Grey Wolf Optimizer, 27th Telekomunikacioni forum TELFOR 2019, Beograd, Nov, 2019
 I. Strumberger, E. Tuba, N. Bacanin, M. Beko, M. Tuba, Convolutional Neural Network Architecture Design by the Tree Growth Algorithm Framework, International Joint Conference on Neural Networks (IJCNN), pp. 1  8, Jul, 2019
 E. Tuba, I. Strumberger, N. Bacanin, M. Tuba, Analysis of local binary pattern for emphysema classification in lung CT image, 2019 IEEE 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), Pitesti, Romania, pp. 1  5, Jun, 2019
 E. Tuba, I. Strumberger, N. Bacanin, D. Zivkovic, M. Tuba, Brain Storm Optimization Algorithm for Thermal Image Fusion using DCT Coefficients, IEEE Congress on Evolutionary Computation (CEC), pp. 1  8, Jun, 2019
 I. Strumberger, E. Tuba, N. Bacanin, M. Tuba, Dynamic Tree Growth Algorithm for Load Scheduling in Cloud Environments, IEEE Congress on Evolutionary Computation (CEC), pp. 1  8, Jun, 2019
 E. Tuba, I. Strumberger, N. Bacanin, R. Jovanovic, M. Tuba, Bare Bones Fireworks Algorithm for Feature Selection and SVM Optimization, IEEE Congress on Evolutionary Computation (CEC), pp. 1  8, Jun, 2019
 I. Strumberger, E. Tuba, M. Zivkovic, N. Bacanin, M. Beko, M. Tuba, Designing Convolutional Neural Network Architecture by the Firefly Algorithm, IEEE International Young Engineers Forum (YEFECE), pp. 1  4, May, 2019
 T. Bezdan, N. Bačanin Džakula, Convolutional Neural Network Layers and Architectures, Sinteza 2019  International Scientific Conference on Information Technology and Data Related Research, pp. 445  451, Apr, 2019
 N. Bacanin, I. Strumberger, E. Tuba, M. Tuba, Hybridized Particle Swarm Optimization for Constrained Problems, Sinteza, pp. 17  25, Apr, 2019
 S. Tomic, M. Beko, M. Tuba, N. Bacanin, Case Study of Target Localization Based on Hybrid and Traditional Ranging via RSS and TOA, IEEE 26th Telecommunications Forum TELFOR, pp. 1  4, Nov, 2018
 I. Strumberger, E. Tuba, N. Bacanin, M. Beko, M. Tuba, Bare Bones Fireworks Algorithm for the RFID Network Planning Problem, IEEE Congress on Evolutionary Computation (CEC), part of IEEE World Congress on Computational Intelligence, pp. 1  8, Jul, 2018
 I. Strumberger, E. Tuba, N. Bacanin, M. Beko, M. Tuba, Hybridized Artificial Bee Colony Algorithm for Constrained Portfolio Optimization Problem, IEEE Congress on Evolutionary Computation (CEC), part of IEEE World Congress on Computational Intelligence, pp. 1  8, Jul, 2018
 E. Tuba, I. Strumberger, D. Zivkovic, N. Bacanin, M. Tuba, Mobile Robot Path Planning by Improved Brain Storm Optimization Algorithm, IEEE Congress on Evolutionary Computation (CEC), Part of World Congress on Computation Intelligence, pp. 2203  2210, Jul, 2018
 S. Tomic, M. Beko, R. Oliveira, L. Bernardo, N. Bacanin, M. Tuba, On Hybrid RSS/TOA Target Localization in NLOS Environments, 14th International Wireless Communications and Mobile Computing Conference (IWCMC), pp. 1471  1476, Jun, 2018
 I. Strumberger, E. Tuba, N. Bacanin, M. Beko, M. Tuba, Wireless Sensor Network Localization Problem by Hybridized Moth Search Algorithm, 14th IEEE International Wireless Communications and Mobile Computing Conference (IWCMC 2018), pp. 316  321, May, 2018
 I. Strumberger, E. Tuba, N. Bacanin, M. Beko, M. Tuba, Hybridized Moth Search Algorithm for Constrained Optimization Problems, IEEE 2nd International Young Engineers Forum on Electrical and Computer Engineering (YEFECE), pp. 1  5, May, 2018
 E. Tuba, I. Strumberger, D. Zivkovic, N. Bacanin, M. Tuba, Rigid Image Registration by Bare Bones Fireworks Algorithm, IEEE 6th International Conference on Multimedia Computing and Systems (ICMCS), pp. 35  40, May, 2018
 I. Strumberger, E. Tuba, N. Bacanin, M. Beko, M. Tuba, Modified Monarch Butterfly Optimization Algorithm for RFID Network Planning, IEEE 6th International Conference on Multimedia Computing and Systems (ICMCS), pp. 1  6, May, 2018
 E. Tuba, I. Strumberger, I. Tuba, N. Bacanin, M. Tuba, Water Cycle Algorithm for Solving Continuous pMedian Problem, 12th International Symposium on Applied Computational Intelligence and Informatics, pp. 351  354, May, 2018
 I. Strumberger, E. Tuba, N. Bacanin, M. Beko, M. Tuba, Monarch Butterfly Optimization Algorithm for Localization in Wireless Sensor Networks, IEEE 28th International Conference Radioelektronika 2018, pp. 1  6, Apr, 2018
 E. Tuba, I. Strumberger, N. Bacanin, D. Zivkovic, M. Tuba, Cooperative Clustering Algorithm Based on Brain Storm Optimization and KMeans, IEEE 28th International Conference Radioelektronika, pp. 1  5, Apr, 2018
 I. Strumberger, N. Bacanin, S. Tomic, M. Beko, M. Tuba, Static Drone Placement by Elephant Herding Optimization Algorithm, IEEE 25th Telecommunications Forum TELFOR 2017, pp. 808  811, Nov, 2017
 S. Tomic, M. Beko, M. Tuba, N. Bacanin, Target Localization in Adverse Indoor Environments, IEEE 25th Telecommunications Forum TELFOR 2017, pp. 374  377, Nov, 2017
 I. Strumberger, N. Bacanin, M. Tuba, Enhanced Firefly Algorithm for Constrained Numerical Optimization, IEEE Congress on Evolutionary Computation (CEC), pp. 2120  2127, Jun, 2017
 D. Vicente, S. Tomic, M. Beko, R. Dinis, M. Tuba, N. Bacanin, Kalman Filter for Target Tracking Using Coupled RSS and AoA Measurements, 13th International Wireless Communications and Mobile Computing Conference (IWCMC 2017), pp. 2004  2008, Jun, 2017
 I. Strumberger, N. Bacanin, M. Tuba, Hybridized Krill Herd Algorithm for LargeScale Optimization Problems, IEEE International Symposium on Applied Machine Intelligence and Informatics (SAMI), pp. 473  478, Jan, 2017
 S. Tomic, M. Beko, R. Dinis, M. Tuba, N. Bacanin, An Efficient WLS Estimator for Target Localization in Wireless Sensor Networks, IEEE 24th Telecommunications Forum TELFOR, pp. 467  470, Nov, 2016
 I. Strumberger, N. Bacanin, M. Tuba, Constrained Portfolio Optimization by Hybridized Bat Algorithm, 7th International Conference on Intelligent Systems, Modelling and Simulation (ISMS), pp. 83  88, Jan, 2016
 E. Tuba, N. Bacanin, An Algorithm for Handwritten Digit Recognition Using Projection Histograms and SVM Classifier, 23rd Telecommunications Forum TELFOR, pp. 464  467, Nov, 2015
 N. Bacanin, M. Tuba, Fireworks Algorithm Applied to Constrained Portfolio Optimization Problem, IEEE Congress on Evolutionary Computation (CEC), pp. 1242  1249, May, 2015
 N. Bacanin, M. Tuba, R. Jovanovic, Hierarchical Multiobjective RFID Network Planning Using Firefly Algorithm, International Conference on Information and Communication Technology Research (ICTRC), pp. 282  285, May, 2015
 M. Tuba, N. Bacanin, M. Beko, Fireworks Algorithm for RFID Network Planning Problem, IEEE 25th International Conference Radioelektronika, pp. 440  444, Apr, 2015
 N. Bacanin, M. Tuba, I. Strumberger, RFID Network Planning by ABC Algorithm Hybridized with Heuristic for Initial Number and Locations of Readers, UKSimAMSS 17th International Conference on Computer Modelling and Simulation Cambridge, pp. 39  44, Mar, 2015
 N. Bacanin, M. Tuba, M. Beko, Hybridized Fireworks Algorithm for Global Optimization, 6th European Conference on Applied Mathematics and Informatics (AMATHI), pp. 108  114, Jan, 2015
 M. Tuba, N. Bacanin, A. Alihodzic, Multilevel Image Thresholding by Fireworks Algorithm, IEEE 25th International Conference Radioelektronika, pp. 326  330, 2015
 M. Tuba, N. Bacanin, Hybridized Bat Algorithm for Multiobjective Radio Frequency Identification (RFID) Network Planning, IEEE Congress on Evolutionary Computation (CEC), pp. 499  506, 2015
 M. Tuba, N. Bacanin, A. Alihodzic, Firefly algorithm for multiobjective RFID network planning problem, IEEE 22nd Telecommunications Forum TELFOR, pp. 95  98, Nov, 2014
 M. Tuba, N. Bacanin, JPEG Quantization Tables Selection by the Firefly Algorithm, 4th IEEE International Conference on Multimedia Computing and Systems (ICMCS), pp. 153  158, Apr, 2014
 M. Tuba, N. Bacanin, Upgraded Firefly Algorithm for Portfolio Optimization Problem, 16th IEEE International Conference on Computer Modelling and Simulation, UKSimAMSS, pp. 112  117, Mar, 2014
 N. Bacanin, M. Tuba, B. Pelevic, Cardinality Constrained Portfolio Optimization Problem by the Artificial Bee Colony (ABC) Algorithm, 5th International Conference on Applied Mathematics and Informatics (AMATHI '14), pp. 56  62, Jan, 2014
 N. Bacanin, M. Tuba, B. Pelevic, Krill Herd (KH) Algorithm for Portfolio Optimization, 14th International Conference on Mathematics and Computers in Business and Economics (MCBE '13), pp. 39  44, Sep, 2013
 N. Bacanin, B. Pelevic, M. Tuba, Artificial bee colony (ABC) algorithm for portfolio optimization problem, 5th International Conference on Applied Economics, Business and Development (AEBD '13), pp. 163  168, Aug, 2013
 N. Bacanin, B. Pelevic, M. Tuba, Portfolio Optimization Problem by the Firefly Algorithm, 2nd International Conference on Computers, Digital Communications and Computing (ICDCC '13), pp. 63  68, Jun, 2013
 N. Bacanin, M. Tuba, Artificial Immune System Algorithm Framework for BoundConstraint Numerical Problems, 12th International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases (AIKED '13), pp. 150  155, Feb, 2013
 N. Bacanin, I. Brajevic, M. Tuba, Firefly Algorithm Applied to Integer Programming Problems, 19th American Conference on Applied Mathematics, pp. 143  148, Jan, 2013
 I. Brajevic, M. Tuba, N. Bacanin, Multilevel Image Thresholding Selection Based on the Cuckoo Search Algorithm, 5th International Conference on Visualization, Imaging and Simulation (VIS'12), pp. 217  222, Sep, 2012
 I. Brajevic, M. Tuba, N. Bacanin, Fireﬂy Algorithm with a FeasibilityBased Rules for Constrained Optimization, 6th European Computing Conference (ECC'12), pp. 163  168, Sep, 2012
 M. Subotic, M. Tuba, N. Bacanin, D. Simian, Parallelized Cuckoo Search Algorithm for Unconstrained Optimization, World Congress: Applied Computing Conference (ACC’12), pp. 151  156, May, 2012
 N. Bacanin, M. Tuba, N. Stanarevic, Artificial Fish Swarm Algorithm for Unconstrained Optimization Problems, American Conference on Applied Mathematics (AMERICANMATH '12), pp. 405  410, Jan, 2012
 M. Tuba, N. Bacanin, N. Stanarevic, Guided artificial bee colony algorithm, European Computing Conference (ECC ’11), pp. 398  403, Apr, 2011
 N. Bacanin, An ObjectOriented Software Implementation of a Novel Cuckoo Search Algorithm, Proceedings of the European Computing Conference (ECC ’11), World Scientific and Engineering Academy and Society, pp. 245  250, Apr, 2011
 N. Bacanin, M. Tuba, I. Brajevic, An ObjectOriented Software Implementation of a Modified Artificial Bee Colony (ABC) Algorithm, 11th International Conference on Evolutionary Computing (EC '10), pp. 179  184, Jun, 2010
 A. NJeguš, J. Novakovic, N. Bačanin Džakula, Web mining, Proceedings of the VI Southeast Europe Forum ICT (SEFICT), pp. 123  128, Jun, 2007
Ostali radovi:
 A. Toskovic, S. Kozakijevic, L. Jovanovic, M. Zivkovic, N. Bacanin, M. Antonijevic, Anomaly Detection in Electroencephalography Readings Using Long ShortTerm Memory Tuned by Modified Metaheuristic, Chapter in AIS Algorithms for Intelligent Systems: ICSISCET 2023: Artificial Intelligence and Sustainable Computing, Springer, AIS Algorithms for Intelligent Systems: ICSISCET 2023: Artificial Intelligence and Sustainable Computing, pp. 133  148, Springer, Singapore, Gwalior, India, Apr, 2024
 T. Dogandzic, A. Petrovic, L. Jovanovic, N. Bacanin, A. Jovanovic, M. Zivkovic, Speeding Classification by a Deep Learning Audio Analysis System Optimized by the Reptile Search Algorithm, Chapter in AIS Algorithms for Intelligent Systems: IJCACI 2023: International Joint Conference on Advances in Computational Intelligence, Springer, AIS Algorithms for Intelligent Systems: IJCACI 2023: Proceedings of International Joint Conference on Advances in Computational Intelligence, pp. 73  88, Springer, Singapore, SAU Center for Research and Innovative Learning (SCRIL), South Asian University, India and Jahangirnagar University, Bangladesh, Apr, 2024
 B. Radomirovic, A. Petrovic, M. Zivkovic, A. Njegus, N. Budimirovic, N. Bacanin, Efficient spam email classification logistic regression model trained by modified social network search algorithm, Chapter in Advanced Studies in Complex Systems, Computational Intelligence and Blockchain in Complex Systems, pp. 39  55, Elsevier, Apr, 2024
 I. Markovic, J. Krzanovic, L. Jovanovic, A. Toskovic, N. Bacanin, A. Petrovic, M. Zivkovic, Flood Prediction Based on Recurrent Neural Network Time Series Classification Boosted by Modified Metaheuristic Optimization, Chapter in LNNS Lecture Notes in Networks and Systems: ADCIS 2023: Advances in DataDriven Computing and Intelligent Systems, Springer, volume 893, LNNS Lecture Notes in Networks and Systems: ADCIS 2023: Advances in DataDriven Computing and Intelligent Systems, volume 893, pp. 289  303, Springer, Singapore, BITS Pilani, K K Birla Goa Campus, Goa, India, Mar, 2024
 A. Bozovic, L. Jovanovic, E. Desnica, N. Bacanin, M. Zivkovic, M. Antonijevic, J. P. Mani, Metaheuristic Optimized Extreme Gradient Boosting Milling Maintenance Prediction, Chapter in LNNS Lecture Notes in Networks and Systems: CIS 2023: Fourth Congress on Intelligent Systems, Springer, volume 868, LNNS Lecture Notes in Networks and Systems: CIS 2023: Fourth Congress on Intelligent Systems, volume 868, pp. 361  374, Springer, Singapore, Bengaluru, India, Mar, 2024
 M. Zivkovic, L. Jovanovic, N. Bacanin, A. Petrovic, N. Savanovic, M. Dobrojevic, XGBoost Tuned by Hybridized SCA Metaheuristics for Intrusion Detection in Healthcare 4.0 IoT Systems, Chapter in AIS Algorithms for Intelligent Systems: ICEAI 2023: Evolutionary Artificial Intelligence, Springer, AIS Algorithms for Intelligent Systems: ICEAI 2023: Evolutionary Artificial Intelligence, pp. 1  16, Springer, Singapore, Malaysia, Mar, 2024
 A. Toskovic, A. Petrovic, L. Jovanovic, N. Bacanin, M. Zivkovic, M. Dobrojevic, Marine Vessel Trajectory Forecasting Using Long ShortTerm Memory Neural Networks Optimized via Modified Metaheuristic Algorithm, Chapter in AIS Algorithms for Intelligent Systems: ICTSM 2023: Trends in Sustainable Computing and Machine Intelligence, Springer, AIS Algorithms for Intelligent Systems: ICTSM 2023: Trends in Sustainable Computing and Machine Intelligence, pp. 51  66, Springer, Singapore, Bangkok, Thailand, Mar, 2024
 M. Bukumira, M. Zivkovic, M. Antonijevic, L. Jovanovic, N. Bacanin, T. Zivkovic, The eXtreme Gradient Boosting Method Optimized by Hybridized Sine Cosine Metaheuristics for Ship Vessel Classification, Chapter in LNNS Lecture Notes in Networks and Systems: ADCIS 2023: Advances in DataDriven Computing and Intelligent Systems, Springer, volume 891, LNNS Lecture Notes in Networks and Systems: ADCIS 2023: Advances in DataDriven Computing and Intelligent Systems, volume 891, pp. 255  270, Springer, Singapore, BITS Pilani, K K Birla Goa Campus, Goa, India, Feb, 2024
 A. Jovanovic, T. Dogandzic, L. Jovanovic, K. Kumpf, M. Zivkovic, N. Bacanin, Metaheuristic Optimized BiLSTM Univariate Time Series Forecasting of Gold Prices, Chapter in LNNS Lecture Notes in Networks and Systems: ICDSA 2023: International Conference on Data Science and Applications, Springer, volume 818, LNNS Lecture Notes in Networks and Systems: ICDSA 2023: International Conference on Data Science and Applications, volume 818, pp. 221  235, Springer, Singapore, Jaipur, India, Feb, 2024
 L. Jovanovic, K. Kumpf, N. Bacanin, M. Antonijevic, J. Mani, H. Shaker Jassim, M. Zivkovic, Decomposition Aided Bidirectional LongShortTerm Memory Optimized by Hybrid Metaheuristic Applied for Wind Power Forecasting, Chapter in CCIS Communications in Computer and Information Science: ICCSST 2023: International Conference on Computational Sciences and Sustainable Technologies, Springer, volume 1973, CCIS Communications in Computer and Information Science: ICCSST 2023: International Conference on Computational Sciences and Sustainable Technologies, volume 1973, pp. 30  42, Springer, Cham, Bangalore, India, Feb, 2024
 L. Jovanovic, S. Golubovic, N. Bacanin, G. Kunjadic, M. Antonijevic, M. Zivkovic, Performance Evaluation of MetaheuristicsTuned Deep Neural Networks for HealthCare 4.0, Chapter in CCIS Communications in Computer and Information Science: ICCSST 2023: International Conference on Computational Sciences and Sustainable Technologies, Springer, volume 1973, CCIS Communications in Computer and Information Science: ICCSST 2023: International Conference on Computational Sciences and Sustainable Technologies, volume 1973, pp. 1  14, Springer, Cham, Bangalore, India, Feb, 2024
 I. Strumberger, M. Zivkovic, V. R. R. Thumiki, A. Djordjevic, J. Gajic, N. Bacanin, Multivariate Bitcoin Price Prediction Based on Tuned Bidirectional Long ShortTerm Memory Network and Enhanced Reptile Search Algorithm, Chapter in CCIS Communications in Computer and Information Science: ICIST 2023: International Conference on Information and Software Technologies, Springer, volume 1979, CCIS Communications in Computer and Information Science: ICIST 2023: International Conference on Information and Software Technologies, volume 1979, pp. 38  52, Springer, Cham, Kaunas, Lithuania, Jan, 2024
 S. Golubovic, A. Petrovic, A. Bozovic, M. Antonijevic, M. Zivkovic, N. Bacanin, Gold Price Forecast Using Variational Mode DecompositionAided Long ShortTerm Model Tuned by Modified Whale Optimization Algorithm, Chapter in AIS Algorithms for Intelligent Systems: ICDICI 2023: International Conference on Data Intelligence and Cognitive Informatics, Springer, AIS Algorithms for Intelligent Systems: ICDICI 2023: International Conference on Data Intelligence and Cognitive Informatics, pp. 69  83, Springer, Singapore, Tirunelveli, India, Jan, 2024
 M. Salb, A. Elsadai, L. Jovanovic, M. Zivkovic, N. Bacanin, N. Budimirovic, Cloud Computing Load Forecasting by Using Bidirectional Long ShortTerm Memory Neural Network, Chapter in LNNS Lecture Notes in Networks and Systems: ICICNIS 2023: IoT Based Control Networks and Intelligent Systems, Springer, volume 789, LNNS Lecture Notes in Networks and Systems: ICICNIS 2023: IoT Based Control Networks and Intelligent Systems, volume 789, pp. 667  682, Springer, Singapore, Bengaluru, India, Nov, 2023
 N. Bacanin, M. Zivkovic, Z. Hajdarevic, A. Petrovic, N. Budimirovic, M. Antonijevic, I. Strumberger, Detection of BotNet Using Extreme Learning Machine Tuned by Enhanced Sine Cosine Algorithm, Chapter in LNEE Lecture Notes in Electrical Engineering: ICAAAIML 2022: Advances and Applications of Artificial Intelligence & Machine Learning, Springer, volume 1078, LNEE Lecture Notes in Electrical Engineering: ICAAAIML 2022: Advances and Applications of Artificial Intelligence & Machine Learning, volume 1078, pp. 125  137, Springer, Singapore, Noida, India, Nov, 2023
 S. Petrovic, V. Mizdrakovic, M. Kljajic, L. Jovanovic, M. Zivkovic, N. Bacanin, Employing Tuned VMDBased Long ShortTerm Memory Neural Network for Household Power Consumption Forecast, Chapter in SIST Smart Innovation, Systems and Technologies: CRM 2023: Congress on Control, Robotics, and Mechatronics, Springer, volume 364, SIST Smart Innovation, Systems and Technologies: CRM 2023: Congress on Control, Robotics, and Mechatronics, volume 364, pp. 357  371, Springer, Singapore, Kota, India, Nov, 2023
 L. Jovanovic, M. Kljajic, A. Petrovic, V. Mizdrakovic, M. Zivkovic, N. Bacanin, Modified TeachingLearningBased Algorithm Tuned Long ShortTerm Memory for Household Energy Consumption Forecasting, Chapter in AIS Algorithms for Intelligent Systems: WCAIAA 2023: World Conference on Artificial Intelligence: Advances and Applications, Springer, AIS Algorithms for Intelligent Systems: WCAIAA 2023: World Conference on Artificial Intelligence: Advances and Applications, pp. 347  362, Springer, Singapore, Udaipur, India, Nov, 2023
 M. Stankovic, L. Jovanovic, V. Marevic, A. Balghouni, M. Zivkovic, N. Bacanin, Predicting Credit Card Churn Using Support Vector Machine Tuned by Modified Reptile Search Algorithm, Chapter in AIS Algorithms for Intelligent Systems: WCAIAA 2023: World Conference on Artificial Intelligence: Advances and Applications, Springer, AIS Algorithms for Intelligent Systems: WCAIAA 2023: World Conference on Artificial Intelligence: Advances and Applications, pp. 63  77, Springer, Singapore, Udaipur, India, Nov, 2023
 M. Salb, L. Jovanovic, N. Bacanin, G. Kunjadic, M. Antonijevic, M. Zivkovic, V. Devi, The Long ShortTerm Memory Tuning for Multistep Ahead Wind Energy Forecasting Using Enhanced Sine Cosine Algorithm and Variation Mode Decomposition, Chapter in AIS Algorithms for Intelligent Systems: PCCDA 2023: International Conference on Paradigms of Communication, Computing and Data Analytics, Springer, AIS Algorithms for Intelligent Systems: PCCDA 2023: Proceedings of International Conference on Paradigms of Communication, Computing and Data Analytics, pp. 31  43, Springer, Singapore, New Delhi, India, Oct, 2023
 L. Jovanovic, N. Bacanin, A. Jovancai, D. Jovanovic, D. Singh, M. Antonijevic, M. Zivkovic, I. Strumberger, Oil Price Prediction Approach Using Long ShortTerm Memory Network Tuned by Improved Seagull Optimization Algorithm, Chapter in AIS Algorithms for Intelligent Systems: ICSISCET 2022: Artificial Intelligence and Sustainable Computing, Springer, AIS Algorithms for Intelligent Systems: ICSISCET 2022: Artificial Intelligence and Sustainable Computing, pp. 253  265, Springer, Singapore, Gwalior, India, Sep, 2023
 J. Krstovic, N. Bacanin, M. Zivkovic, A. Bozovic, M. Stankovic, M. Antonijevic, T. Bezdan, Modified Artificial Bee Colony Algorithm for Tuning Simple LSTM for Multivariate TimeSeries Forecasting, Chapter in AIS Algorithms for Intelligent Systems: ICCCT 2023: International Conference on Communication and Computational Technologies, Springer, AIS Algorithms for Intelligent Systems: ICCCT 2023: International Conference on Communication and Computational Technologies, pp. 401  412, Springer, Singapore, Jaipur, India, Sep, 2023
 L. Jovanovic, M. Gajevic, M. Dobrojevic, N. Budimirovic, N. Bacanin, M. Zivkovic, Tackling IoT Security Challenge by Metaheuristics Tuned Extreme Learning Machine, Chapter in LNNS Lecture Notes in Networks and Systems: ICoISS 2023: International Conference on Intelligent Sustainable Systems, Springer, volume 665, LNNS Lecture Notes in Networks and Systems: ICoISS 2023: International Conference on Intelligent Sustainable Systems, volume 665, pp. 507  522, Springer, Singapore, Tamil Nadu, India, Jun, 2023
 M. Stankovic, L. Jovanovic, M. Antonijevic, A. Bozovic, N. Bacanin, M. Zivkovic, Univariate Individual Household Energy Forecasting by Tuned Long ShortTerm Memory Network, Chapter in LNNS Lecture Notes in Networks and Systems: ICISC 2023: Inventive Systems and Control, Springer, volume 672, LNNS Lecture Notes in Networks and Systems: ICISC 2023: Inventive Systems and Control, volume 672, pp. 403  417, Springer, Singapore, Coimbatore, India, Jun, 2023
 M. Milicevic, L. Jovanovic, N. Bacanin, M. Zivkovic, D. Jovanovic, M. Antonijevic, N. Savanovic, I. Strumberger, Optimizing Long ShortTerm Memory by Improved Teacher LearningBased Optimization for Ethereum Price Forecasting, Chapter in LNDECT Lecture Notes on Data Engineering and Communications Technologies: ICMCSI 2023: Mobile Computing and Sustainable Informatics, Springer, volume 166, LNDECT Lecture Notes on Data Engineering and Communications Technologies: ICMCSI 2023: Mobile Computing and Sustainable Informatics, volume 166, pp. 125  139, Springer, Singapore, Nepal, May, 2023
 N. Bacanin, M. Zivkovic, Z. Hajdarevic, S. Janicijevic, A. Dasho, M. Marjanovic, L. Jovanovic, Performance of Sine Cosine Algorithm for ANN Tuning and Training for IoT Security, Chapter in LNNS Lecture Notes in Networks and Systems: HIS 2022: Hybrid Intelligent Systems, Springer, volume 647, LNNS Lecture Notes in Networks and Systems: HIS 2022: Hybrid Intelligent Systems, volume 647, pp. 302  312, Springer, Cham, May, 2023
 L. Jovanovic, Z. Hajdarevic, D. Jovanovic, H. Shaker Jassim, I. Strumberger, N. Bacanin, M. Zivkovic, M. Antonijevic, Tuning Extreme Learning Machine by Hybrid Planet Optimization Algorithm for Diabetes Classification, Chapter in LNNS Lecture Notes in Networks and Systems: CIS 2022: Third Congress on Intelligent Systems, Springer, volume 613, LNNS Lecture Notes in Networks and Systems: CIS 2022: Third Congress on Intelligent Systems, volume 613, pp. 23  36, Springer, Singapore, Bengaluru, India, May, 2023
 M. Stankovic, L. Jovanovic, N. Bacanin, M. Zivkovic, M. Antonijevic, P. Bisevac, Tuned Long ShortTerm Memory Model for Ethereum Price Forecasting Through an Arithmetic Optimization Algorithm, Chapter in LNNS Lecture Notes in Networks and Systems: IBICA 2022: International Conference on Innovations in BioInspired Computing and Applications, Springer, volume 649, LNNS Lecture Notes in Networks and Systems: IBICA 2022: International Conference on Innovations in BioInspired Computing and Applications, volume 649, pp. 327  337, Springer, Cham, Mar, 2023
 L. Jovanovic, M. Djuric, M. Zivkovic, D. Jovanovic, I. Strumberger, M. Antonijevic, N. Budimirovic, N. Bacanin, Tuning XGBoost by Planet Optimization Algorithm: An Application for Diabetes Classification, Chapter in LNEE Lecture Notes in Electrical Engineering: ICCCES 2022: Proceedings of Fourth International Conference on Communication, Computing and Electronics Systems, Springer, volume 977, LNEE Lecture Notes in Electrical Engineering: ICCCES 2022: Proceedings of Fourth International Conference on Communication, Computing and Electronics Systems, volume 977, pp. 787  803, Springer, Singapore, Coimbatore, India, Mar, 2023
 M. Djuric, L. Jovanovic, M. Zivkovic, N. Bacanin, M. Antonijevic, M. Sarac, The AdaBoost Approach Tuned by SNS Metaheuristics for Fraud Detection; Chapter in AIS Algorithms for Intelligent Systems: PCCDS 2022: International Conference on Paradigms of Computing, Communication and Data Sciences, Springer, AIS Algorithms for Intelligent Systems: PCCDS 2022: International Conference on Paradigms of Computing, Communication and Data Sciences, pp. 115  128, Springer, Singapore, Jaipur, India, Feb, 2023
 N. Bacanin, A. Petrovic, M. Antonijevic, M. Zivkovic, M. Sarac, E. Tuba, I. Strumberger, Intrusion Detection by XGBoost Model Tuned by Improved Social Network Search Algorithm, Chapter in CCIS Communications in Computer and Information Science: MDIS 2022: Modelling and Development of Intelligent Systems, Springer, volume 1761, CCIS Communications in Computer and Information Science: MDIS 2022: Modelling and Development of Intelligent Systems, volume 1761, pp. 104  121, Springer, Cham, Sibiu, Romania, Feb, 2023
 M. Stankovic, N. Bacanin, M. Zivkovic, D. Jovanovic, M. Antonijevic, M. Bukumira, I. Strumberger, Feature Selection and Extreme Learning Machine Tuning by Hybrid Sand Cat Optimization Algorithm for Diabetes Classification, Chapter in CCIS Communications in Computer and Information Science: MDIS 2022: Modelling and Development of Intelligent Systems, Springer, volume 1761, CCIS Communications in Computer and Information Science: MDIS 2022: Modelling and Development of Intelligent Systems, volume 1761, pp. 188  203, Springer, Cham, Sibiu, Romania, Feb, 2023
 M. Zivkovic, A. Petrovic, N. Bacanin, M. Djuric, A. Vesic, I. Strumberger, M. Marjanovic, Training Logistic Regression Model by Hybridized Multiverse Optimizer for Spam Email Classification, Chapter in LNNS Lecture Notes in Networks and Systems: ICDSA 2022: Proceedings of International Conference on Data Science and Applications, Springer, volume 552, LNNS Lecture Notes in Networks and Systems: ICDSA 2022: Proceedings of International Conference on Data Science and Applications, volume 552, pp. 507  520, Springer, Singapore, Kolkata, India, Feb, 2023
 A. Petrovic, L. Jovanovic, M. Zivkovic, N. Bacanin, N. Budimirovic, M. Marjanovic, Forecasting Bitcoin Price by Tuned Long Short Term Memory Model, Chapter in Advances in Computer Science Research: ICIITB 2022: Proceedings of the 1st International Conference on Innovation in Information Technology and Business, Atlantic Press, Advances in Computer Science Research: ICIITB 2022: Proceedings of the 1st International Conference on Innovation in Information Technology and Business, Atlantic Press, pp. 187  202, Atlantic Press, Muscat, Oman, Jan, 2023
 S. Berrou, K. Al Kalbani, M. Antonijevic, M. Zivkovic, N. Bacanin, B. Nikolic, Training a Logistic Regression Machine Learning Model for Spam Email Detection Using the TeachingLearningBasedOptimization Algorithm; Chapter in Advances in Computer Science Research: ICIITB 2022: Proceedings of the 1st International Conference on Innovation in Information Technology and Business, Atlantic Press, Advances in Computer Science Research: ICIITB 2022: Proceedings of the 1st International Conference on Innovation in Information Technology and Business, Atlantic Press, pp. 306  327, Atlantic Press, Muscat, Oman, Jan, 2023
 M. Stankovic, J. Gavrilovic, D. Jovanovic, M. Zivkovic, M. Antonijevic, N. Bacanin, M. Stankovic, Tuning MultiLayer Perceptron by Hybridized Arithmetic Optimization Algorithm for Healthcare 4.0, Chapter in Procedia Computer Science: ICIDCA 2022: International Conference on Innovative Data Communication Technology and Application, Elsevier, volume 215, Procedia Computer Science: ICIDCA 2022: International Conference on Innovative Data Communication Technology and Application, Elsevier, volume 215, pp. 51  60, Elsevier, Coimbatore, India, Dec, 2022
 L. Jovanovic, M. Antonijevic, M. Zivkovic, D. Jovanovic, M. Marjanovic, N. Bacanin, Sine Cosine Algorithm with Tangent Search for Neural Networks Dropout Regularization, Chapter in AIS Algorithms for Intelligent Systems: ICDICI 2022: Data Intelligence and Cognitive Informatics, Springer, AIS Algorithms for Intelligent Systems: ICDICI 2022: Data Intelligence and Cognitive Informatics, pp. 789  802, Springer, Singapore, Tirunelveli, India, Dec, 2022
 M. Zivkovic, N. Bacanin, J. Arandjelovic, S. Stanojlovic, A. Rakic, K. Venkatachalam, COVID19 Fake News Detection by Improved Ant Lion Optimizer Metaheuristics, Chapter in AIS Algorithms for Intelligent Systems: ICSISCET 2021: Artificial Intelligence and Sustainable Computing, Springer, AIS Algorithms for Intelligent Systems: ICSISCET 2021: Artificial Intelligence and Sustainable Computing, pp. 469  484, Springer, Singapore, Gwalior, India, Nov, 2022
 M. Salb, L. Jovanovic, M. Zivkovic, E. Tuba, A. Elsadai, N. Bacanin, Training Logistic Regression Model by Enhanced Moth Flame Optimizer for Spam Email Classification, Chapter in LNDECT Lecture Notes on Data Engineering and Communications Technologies: ICCNCT 2022: Computer Networks and Inventive Communication Technologies, Springer, volume 141, LNDECT Lecture Notes on Data Engineering and Communications Technologies: ICCNCT 2022: Computer Networks and Inventive Communication Technologies, volume 141, pp. 753  768, Springer, Singapore, Coimbatore, India, Oct, 2022
 M. Zivkovic, A. Petrovic, K. Venkatachalam, I. Strumberger, H. Shaker Jassim, N. Bacanin, Novel Chaotic Best Firefly Algorithm: COVID19 Fake News Detection Application, Chapter in SCI Studies in Computational Intelligence: Advances in Swarm Intelligence, Springer, volume 1054, SCI Studies in Computational Intelligence: Advances in Swarm Intelligence, volume 1054, pp. 285  305, Springer, Cham, Oct, 2022
 M. Zivkovic, N. Bacanin, J. Arandjelovic, I. Strumberger, K. Venkatachalam, Firefly Algorithm and Deep Neural Network Approach for Intrusion Detection, Chapter in LNEE Lecture Notes in Electrical Engineering: ICAAAIML 2021: Applications of Artificial Intelligence and Machine Learning, Springer, volume 925, LNEE Lecture Notes in Electrical Engineering: ICAAAIML 2021: Applications of Artificial Intelligence and Machine Learning, volume 925, pp. 1  12, Springer, Singapore, Greater Noida, India, Sep, 2022
 M. Zivkovic, L. Jovanovic, M. Ivanovic, N. Bacanin, I. Strumberger, P. Joseph, XGBoost Hyperparameters Tuning by FitnessDependent Optimizer for Network Intrusion Detection, Chapter in LNNS Lecture Notes in Networks and Systems: ICCIS 2021: Communication and Intelligent Systems, Springer, volume 461, LNNS Lecture Notes in Networks and Systems: ICCIS 2021: Communication and Intelligent Systems, volume 461, pp. 947  962, Springer, Singapore, Delhi, India, Aug, 2022
 N. Bacanin, M. Zivkovic, M. Sarac, A. Petrovic, I. Štrumberger, M. Antonijevic, A. Petrovic, K. Venkatachalam, A Novel Multiswarm Firefly Algorithm: An Application for Plant Classification, Chapter in LNNS Lecture Notes in Networks and Systems: INFUS 2022: Intelligent and Fuzzy Systems, Springer, volume 504, LNNS Lecture Notes in Networks and Systems: INFUS 2022: Intelligent and Fuzzy Systems, volume 504, pp. 1007  1016, Springer, Cham, Izmir, Turkey, Jul, 2022
 N. AlHosni, L. Jovanovic, M. Antonijevic, M. Bukumira, M. Zivkovic, I. Strumberger, J. P. Mani, N. Bacanin, The XGBoost Model for Network Intrusion Detection Boosted by Enhanced Sine Cosine Algorithm, Chapter in LNNS Lecture Notes in Networks and Systems: ICIPCN 2022: International Conference on Image Processing and Capsule Networks, Springer, volume 514, LNNS Lecture Notes in Networks and Systems: ICIPCN 2022: International Conference on Image Processing and Capsule Networks, volume 514, pp. 213  228, Springer, Cham, Bangkok, Thailand, Jul, 2022
 M. Tair, N. Bacanin, M. Zivkovic, K. Venkatachalam, I. Strumberger, XGBoost Design by Multiverse Optimiser: An Application for Network Intrusion Detection, Chapter in LNDECT Lecture Notes on Data Engineering and Communications Technologies: ICMCSI 2022: Mobile Computing and Sustainable Informatics, Springer, volume 126, LNDECT Lecture Notes on Data Engineering and Communications Technologies: ICMCSI 2022: Mobile Computing and Sustainable Informatics, volume 126, pp. 1  16, Springer, Singapore, Nepal, Jul, 2022
 M. Zivkovic, A. Petrovic, N. Bacanin, S. Milosevic, V. Veljic, A. Vesic, The COVID19 Images Classification by MobileNetV3 and Enhanced Sine Cosine Metaheuristics, Chapter in LNDECT Lecture Notes on Data Engineering and Communications Technologies: ICMCSI 2022: Mobile Computing and Sustainable Informatics, Springer, volume 126, LNDECT Lecture Notes on Data Engineering and Communications Technologies: ICMCSI 2022: Mobile Computing and Sustainable Informatics, volume 126, pp. 937  950, Springer, Singapore, Nepal, Jul, 2022
 M. Zivkovic, A. Vesic, N. Bacanin, I. Strumberger, M. Antonijevic, L. Jovanovic, An Improved Animal Migration Optimization Approach for Extreme Learning Machine Tuning, Chapter in LNNS Lecture Notes in Networks and Systems: INFUS 2022: Intelligent and Fuzzy Systems, Digital Acceleration and The New Normal, Springer, Volume 505, LNNS Lecture Notes in Networks and Systems: INFUS 2022: Intelligent and Fuzzy Systems, Digital Acceleration and The New Normal, Volume 505, pp. 3  13, Springer, Cham, Izmir, Turkey, Jul, 2022
 M. Zivkovic, N. Vukobrat, A. Chhabra, T. A. Rashid, K. Venkatachalam, N. Bacanin, Support Vector Machine Performance Improvements by Using Sine Cosine Algorithm, Chapter in LNDECT Lecture Notes on Data Engineering and Communications Technologies: CIS 2021: Congress on Intelligent Systems, Springer, volume 114, LNDECT Lecture Notes on Data Engineering and Communications Technologies: CIS 2021: Congress on Intelligent Systems, volume 114, pp. 791  803, Springer, Singapore, Bengaluru, India, Jul, 2022
 M. Zivkovic, N. Bacanin, J. Arandjelovic, A. Rakic, I. Strumberger, P. Joseph, Novel Harris Hawks Optimization and Deep Neural Network Approach for Intrusion Detection, Chapter in AIS Algorithms for Intelligent Systems: IJCACI 2021: International Joint Conference on Advances in Computational Intelligence, Springer, AIS Algorithms for Intelligent Systems: IJCACI 2021: International Joint Conference on Advances in Computational Intelligence, pp. 239  250, Springer, Singapore, May, 2022
 N. Bacanin, M. Zivkovic, L. Jovanovic, M. Ivanovic, T. A. Rashid, Training a Multilayer Perception for Modeling Stock Price Index Predictions Using Modified Whale Optimization Algorithm, Chapter in AISC Advances in Intelligent Systems and Computing: ICCVBIC 2021: Computational Vision and BioInspired Computing, Springer, volume 1420, AISC Advances in Intelligent Systems and Computing: ICCVBIC 2021: Computational Vision and BioInspired Computing, volume 1420, pp. 415  430, Springer, Singapore, Coimbatore, India, Mar, 2022
 M. Zivkovic, L. Jovanovic, M. Ivanovic, A. Krdzic, N. Bacanin, I. Strumberger, Feature Selection Using Modified Sine Cosine Algorithm with COVID19 Dataset, Chapter in LNDECT Lecture Notes on Data Engineering and Communications Technologies: ICECMSN 2021: Evolutionary Computing and Mobile Sustainable Networks, Springer, volume 116, LNDECT Lecture Notes on Data Engineering and Communications Technologies: ICECMSN 2021: Evolutionary Computing and Mobile Sustainable Networks, volume 116, pp. 15  31, Springer, Singapore, Bangalore, India, Mar, 2022
 M. Salb, M. Zivkovic, N. Bacanin, A. Chhabra, M. Suresh, Support Vector Machine Performance Improvements for Cryptocurrency Value Forecasting by Enhanced Sine Cosine Algorithm, Chapter in AIS Algorithms for Intelligent Systems: ICCVR 2021: Computer Vision and Robotics, Springer, AIS Algorithms for Intelligent Systems: ICCVR 2021: Computer Vision and Robotics, pp. 527  536, Springer, Singapore, Lucknow, India, Mar, 2022
 N. Bacanin, M. Antonijevic, T. Bezdan, M. Zivkovic, T. A. Rashid, Wireless Sensor Networks Localization by Improved Whale Optimization Algorithm, Chapter in AIS Algorithms for Intelligent Systems: ICAIAA 2021: International Conference on Artificial Intelligence: Advances and Applications, Springer, AIS Algorithms for Intelligent Systems: ICAIAA 2021: International Conference on Artificial Intelligence: Advances and Applications, pp. 769  783, Springer, Singapore, Jaipur, India, Jan, 2022
 N. Bacanin, M. Antonijevic, N. Vukobrat, T. Bezdan, M. Zivkovic, Enhanced Seagull Optimization Algorithm Adapted for Artificial Neural Network Training, Chapter in SIST Smart Innovation, Systems and Technologies: ICTIS 2021: International Conference on ICT for Intelligent Systems, Springer, volume 248, SIST Smart Innovation, Systems and Technologies: ICTIS 2021: International Conference on ICT for Intelligent Systems, volume 248, pp. 753  761, Springer, Singapore, Ahmedabad, India, Dec, 2021
 N. Bacanin, M. Zivkovic, T. Bezdan, D. Cvetnic, L. Gajic, Dimensionality Reduction Using Hybrid Brainstorm Optimization Algorithm, Chapter in LNNS Lecture Notes in Networks and Systems: ICDSA 2021: International Conference on Data Science and Applications, Springer, volume 287, LNNS Lecture Notes in Networks and Systems: ICDSA 2021: International Conference on Data Science and Applications, volume 287, pp. 679  692, Springer, Singapore, Kolkata, India, Nov, 2021
 N. Bacanin, M. Zivkovic, M. Salb, I. Strumberger, A. Chhabra, Convolutional Neural Networks Hyperparameters Optimization Using Sine Cosine Algorithm, Chapter in AISC Advances in Intelligent Systems and Computing: ICSADL 2021: Sentimental Analysis and Deep Learning, Springer, volume 1408, AISC Advances in Intelligent Systems and Computing: ICSADL 2021: Sentimental Analysis and Deep Learning, volume 1408, pp. 863  878, Springer, Singapore, Songkhla, Thailand, Oct, 2021
 N. Bacanin, A. Petrovic, M. Zivkovic, T. Bezdan, M. Antonijevic, Feature Selection in Machine Learning by Hybrid Sine Cosine Metaheuristics, Chapter in CCIS Communications in Computer and Information Science: ICACDS 2021: Advances in Computing and Data Sciences, Springer, volume 1440, CCIS Communications in Computer and Information Science: ICACDS 2021: Advances in Computing and Data Sciences, volume 1440, pp. 604  616, Springer, Cham, Nashik, India, Oct, 2021
 N. Bacanin, U. Arnaut, M. Zivkovic, T. Bezdan, T. A. Rashid, Energy Efficient Clustering in Wireless Sensor Networks by OppositionBased Initialization Bat Algorithm, Chapter in LNDECT Lecture Notes on Data Engineering and Communications Technologies: ICCNCT 2021: International Conference on Computer Networks and Inventive Communication Technologies, Springer, volume 75, LNDECT Lecture Notes on Data Engineering and Communications Technologies: ICCNCT 2021: International Conference on Computer Networks and Inventive Communication Technologies, volume 75, pp. 1  16, Springer, Singapore, Coimbatore, India, Sep, 2021
 A. Cuk, T. Bezdan, N. Bacanin, M. Zivkovic, K. Venkatachalam, T. A. Rashid, V. Kanchana Devi, Feedforward MultiLayer Perceptron Training by Hybridized Method between Genetic Algorithm and Artificial Bee Colony, Chapter in Data Science and Data Analytics, Chapman and Hall/CRC, Data Science and Data Analytics: Opportunities and Challenges, 1st Edition, CRC Press, pp. 279  292, Chapman and Hall/CRC, Boca Raton, Sep, 2021
 N. Bacanin, A. Petrovic, M. Zivkovic, T. Bezdan, A. Chhabra, Enhanced Salp Swarm Algorithm for Feature Selection, Chapter in LNNS Lecture Notes in Networks and Systems: INFUS 2021: Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation, Springer, volume 307, LNNS Lecture Notes in Networks and Systems: INFUS 2021: Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation, volume 307, pp. 483  491, Springer, Cham, Istanbul. Turkey, Aug, 2021
 N. Bacanin, N. Vukobrat, M. Zivkovic, T. Bezdan, I. Strumberger, Improved Harris Hawks Optimization Adapted for Artificial Neural Network Training, Chapter in LNNS Lecture Notes in Networks and Systems: INFUS 2021: Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation, Springer, volume 308, LNNS Lecture Notes in Networks and Systems: INFUS 2021: Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation, volume 308, pp. 281  289, Springer, Cham, Istanbul. Turkey, Aug, 2021
 N. Bacanin, T. Bezdan, M. Zivkovic, A. Chhabra, Weight Optimization in Artificial Neural Network Training by Improved Monarch Butterfly Algorithm, Chapter in LNDECT Lecture Notes on Data Engineering and Communications Technologies: ICMCSI 2021: Mobile Computing and Sustainable Informatics, Springer, volume 68, LNDECT Lecture Notes on Data Engineering and Communications Technologies: ICMCSI 2021: Mobile Computing and Sustainable Informatics, volume 68, pp. 397  409, Springer, Singapore, Nepal, Jul, 2021
 M. Zivkovic, T. Bezdan, I. Strumberger, N. Bacanin, K. Venkatachalam, Improved Harris Hawks Optimization Algorithm for Workflow Scheduling Challenge in Cloud–Edge Environment, Chapter in LNDECT Lecture Notes on Data Engineering and Communications Technologies: ICCBI 2020: Computer Networks, Big Data and IoT, Springer, volume 66, LNDECT Lecture Notes on Data Engineering and Communications Technologies: ICCBI 2020: Computer Networks, Big Data and IoT, volume 66, pp. 87  102, Springer, Singapore, Madurai, India, Jun, 2021
 L. Gajic, D. Cvetnic, M. Zivkovic, T. Bezdan, N. Bacanin, S. Milosevic, Multilayer Perceptron Training Using Hybridized Bat Algorithm, Chapter in AISC Advances in Intelligent Systems and Computing: ICCVBIC 2020: Computational Vision and BioInspired Computing, Springer, volume 1318, AISC Advances in Intelligent Systems and Computing: ICCVBIC 2020: Computational Vision and BioInspired Computing, volume 1318, pp. 689  705, Springer, Singapore, Coimbatore, India, Jun, 2021
 M. Zivkovic, N. Bacanin, A. Djordjevic, M. Antonijevic, I. Strumberger, V. K, R. Tarik, Hybrid Genetic Algorithm and Machine Learning Method for COVID19 Cases Prediction, Chapter in Lecture Notes in Networks and Systems: ICSES 2020: International Conference on Sustainable Expert Systems, Springer, LNNS, volume 176, Lecture Notes in Networks and Systems, ICSES 2020: International Conference on Sustainable Expert Systems, volume 176, pp. 169  184, Springer, Singapore, Nepal, Mar, 2021
 S. Milosevic, T. Bezdan, M. Zivkovic, N. Bacanin, I. Strumberger, M. Tuba, FeedForward Neural Network Training by Hybrid Bat Algorithm, Chapter in CCIS Communications in Computer and Information Science: MDIS 2020: Modelling and Development of Intelligent Systems, Springer, volume 1341, CCIS Communications in Computer and Information Science: MDIS 2020: Modelling and Development of Intelligent Systems, volume 1341, pp. 52  66, Springer, Cham, Sibiu, Romania, Feb, 2021
 M. Zivkovic, T. Zivkovic, K. Venkatachalam, N. Bacanin, Enhanced Dragonfly Algorithm Adapted for Wireless Sensor Network Lifetime Optimization, Chapter in Data Intelligence and Cognitive Informatics: ICDICI 2020, Springer, Algorithms for Intelligent Systems, Data Intelligence and Cognitive Informatics: ICDICI 2020, International Conference on Data Intelligence and Cognitive Informatics, pp. 803  817, Springer, Singapore, Tirunelveli, India, Jan, 2021
 T. Bezdan, M. Zivkovic, M. Antonijevic, T. Zivkovic, N. Bacanin, Enhanced Flower Pollination Algorithm for Task Scheduling in Cloud Computing Environment, Chapter in Lecture Notes in Networks and Systems, Machine Learning for Predictive Analysis: ICTIS 2020, Information and Communication Technology for Intelligent Systems, Springer, LNNS, volume 141, Machine Learning for Predictive Analysis: Lecture Notes in Networks and Systems, ICTIS 2020: International Conference on Information and Communication Technology for Intelligent Systems, volume 141, pp. 163171, Springer, Singapore, Ahmedabad. India, Oct, 2020
 T. Bezdan, M. Zivkovic, E. Tuba, I. Strumberger, N. Bacanin, M. Tuba, Glioma Brain Tumor Grade Classification from MRI Using Convolutional Neural Networks Designed by Modified FA, Chapter in AISC Advances in Intelligent Systems and Computing: INFUS 2020: Intelligent and Fuzzy Techniques: Smart and Innovative Solutions, Springer, volume 1197, AISC Advances in Intelligent Systems and Computing: INFUS 2020: International Conference on Intelligent and Fuzzy Systems, volume 1197, pp. 955  963, Springer, Cham, Istanbul. Turkey, Jul, 2020
 T. Bezdan, M. Zivkovic, E. Tuba, I. Strumberger, N. Bacanin, M. Tuba, Multiobjective Task Scheduling in Cloud Computing Environment by Hybridized Bat Algorithm, Chapter in AISC Advances in Intelligent Systems and Computing: INFUS 2020: Intelligent and Fuzzy Techniques: Smart and Innovative Solutions, Springer, volume 1197, AISC Advances in Intelligent Systems and Computing: INFUS 2020: International Conference on Intelligent and Fuzzy Systems, volume 1197, pp. 718  725, Springer, Cham, Istanbul. Turkey, Jul, 2020
 M. Tuba, E. Tuba, N. Bacanin, I. Strumberger, T. Bezdan, Automatically Designing Convolutional Neural Network Architecture with Artificial Flora Algorithm, Advances in Intelligent Systems and Computing: ICT Systems and Sustainability, Springer, pp. 371  378, Springer, Feb, 2020
 I. Strumberger, E. Tuba, N. Bacanin, M. Tuba, Hybrid Elephant Herding Optimization Approach for Cloud Computing Load Scheduling, Swarm, Evolutionary, and Memetic Computing and Fuzzy and Neural Computing, SEMCCO 2019, FANCCO 2019, Communications in Computer and Information Science, vol 1092., pp. 201  212, Springer, Jan, 2020
 I. Strumberger, E. Tuba, N. Bacanin, M. Tuba, Modified Moth Search Algorithm for Portfolio Optimization, Smart Innovation, Systems and Technologies: Smart Trends in Computing and Communications, pp. 445  453, Springer, Jan, 2020
 N. Bacanin, E. Tuba, M. Zivkovic, I. Strumberger, M. Tuba, Whale Optimization Algorithm with Exploratory Move for Wireless Sensor Networks Localization, Chapter in AISC Advances in Intelligent Systems and Computing: HIS 2019: International Conference on Hybrid Intelligent Systems, Springer, volume 1179, AISC Advances in Intelligent Systems and Computing: HIS 2019: International Conference on Hybrid Intelligent Systems, volume 1179, pp. 328  338, Springer, Cham, Bhopal. India, Dec, 2019
 N. Bacanin, E. Tuba, T. Bezdan, I. Strumberger, M. Tuba, Artificial Flora Optimization Algorithm for Task Scheduling in Cloud Computing Environment, Chapter in Lecture Notes in Computer Science: Intelligent Data Engineering and Automated Learning – IDEAL 2019, volume 11871, pp. 437  445, Springer, Oct, 2019
 E. Tuba, I. Strumberger, N. Bacanin, D. Zivkovic, M. Tuba, Acute Lymphoblastic Leukemia Cell Detection in Microscopic Digital Images Based on Shape and Texture Features, Chapter in Lecture Notes in Computer Science: Swarm Intelligence (ICSI’2019), Lecture Notes in Computer Science: Swarm Intelligence (ICSI’2019), pp. 1  8, Springer, Chiang Mai, Thailand, Jul, 2019
 I. Strumberger, E. Tuba, M. Zivkovic, N. Bacanin, M. Beko, M. Tuba, Dynamic Search Tree Growth Algorithm for Global Optimization, Chapter in IFIP Advances in Information and Communication Technology: DoCEIS 2019: Technological Innovation for Industry and Service Systems, Springer, volume 553, IFIP Advances in Information and Communication Technology: DoCEIS 2019: Technological Innovation for Industry and Service Systems, volume 553, pp. 143  153, Springer, Cham, Lisbon. Portugal, Apr, 2019
 I. Strumberger, E. Tuba, N. Bacanin, M. Beko, M. Tuba, Modified and Hybridized Monarch Butterfly Algorithms for MultiObjective Optimization, Chapter in: Advances in Intelligent Systems and Computing: Hybrid Intelligent Systems, Vol. 923, Advances in Intelligent Systems and Computing: Hybrid Intelligent Systems, volume 923, pp. 449  458, Springer, Mar, 2019
 E. Tuba, I. Strumberger, N. Bacanin, M. Tuba, Optimal Path Planning in Environments with Static Obstacles by Harmony Search Algorithm, pp. 186  193, Springer Cham, Advances in Intelligent Systems and Computing book series: Advances in Harmony Search, Soft Computing and Applications, volume 1063, 2019
 E. Tuba, I. Strumberger, N. Bacanin, M. Tuba, Bare Bones Fireworks Algorithm for Continuous pMedian Problem, Chapter in: Lecture Notes in Computer Science, Advances in Swarm Intelligence, Vol. 10941, Lecture Notes in Computer Science, Advances in Swarm Intelligence, Vol. 10941, pp. 283  291, Springer, Jun, 2018
 E. Tuba, I. Strumberger, N. Bacanin, M. Tuba, Bare Bones Fireworks Algorithm for Continuous pMedian Problem, Chapter in: SpringerNature Advances in Swarm Intelligence, Lecture Notes in Computer Science, Vol. 10941, SpringerNature Advances in Swarm Intelligence, Lecture Notes in Computer Science, Vol. 10941, pp. 283  291, Springer, Cham, Jun, 2018
 I. Strumberger, M. Beko, M. Tuba, M. Minovic, N. Bacanin, Elephant Herding Optimization Algorithm for Wireless Sensor Network Localization Problem, Chapter in Technological Innovation for Resilient Systems, IFIP Advances in Information and Communication Technology, Vol. 521, Springer, Technological Innovation for Resilient Systems, IFIP Advances in Information and Communication Technology, Vol. 521, pp. 175  184, Springer, Cham, 2018
 I. Strumberger, N. Bacanin, M. Tuba, Hybridized Elephant Herding Optimization Algorithm for Constrained Optimization Problems, Chapter in Hybrid Intelligent Systems, Advances in Intelligent Systems and Computing, Vol. 734, Springer, Hybrid Intelligent Systems, Advances in Intelligent Systems and Computing, pp. 158  166, Springer Cham, 2018
 S. Tomic, M. Beko, R. Dinis, M. Tuba, N. Bacanin, MAP Estimator for Target Tracking in Wireless Sensor Networks for Unknown Transmit Power, Chapter in IFIP Advances in Information and Communication Technology, Vol. 499, Springer, IFIP Advances in Information and Communication Technology, Vol. 499, pp. 325  334, Springer, 2017
 M. Tuba, A. Alihodzic, N. Bacanin, Cuckoo Search and Bat Algorithm Applied to Training FeedForward Neural Networks, Chapter in Recent Advances in Swarm Intelligence and Evolutionary Computation, Studies in Computational Intelligence, Vol. 585, Springer, Recent Advances in Swarm Intelligence and Evolutionary Computation, Studies in Computational Intelligence, Vol. 585, pp. 139  162, Springer International Publishing Switzerland, 2015
 M. Tuba, N. Bacanin, M. Beko, Multiobjective RFID Network Planning by Artificial Bee Colony Algorithm with Genetic Operators, Chapter in Advances in Swarm and Computational Intelligence, Lecture Notes in Computer Science, Vol. 9140, Springer, Advances in Swarm and Computational Intelligence, Lecture Notes in Computer Science, Vol. 9140, pp. 247  254, Springer, 2015