Nebojša Bačanin Džakula

Nebojša Bačanin Džakula je rođen 13.01.1983. u Beogradu, Srbija.

Obrazovanje:

• Doktorska disertacija
  Matematički fakultet, Računarstvo, 2009-2015

Knjige:

• M. Dobrojević, N. Bačanin-Džakula, 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, RSS-AoA based Target Localization and Tracking in Wireless Sensor Networks, River Publisher Series in Comunications, 2017

Radovi u časopisima:

• N. Bacanin, K. Venkatachalam, T. Bezdan, M. Zivkovic, M. Abouhawwash, A novel firefly algorithm approach for efficient feature selection with COVID-19 dataset, MICROPROCESSORS AND MICROSYSTEMS, Vol. 98, No. 104778, pp. 1 - 21, Apr, 2023
• C. Stoean, M. Zivkovic, A. Bozovic, N. Bacanin, R. Strulak-Wójcikiewicz, M. Antonijevic, R. Stoean, Metaheuristic-Based 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
• N. Bacanin, C. Stoean, M. Zivkovic, M. Rakic, R. Strulak-Wójcikiewicz, 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 Metaheuristics-Optimized-XGBoost and SHAP in Revealing VOCs’ Environmental Fate, Atmosphere, Vol. 14, No. 1, 109, pp. 1 - 27, Jan, 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 COVID-19 Early Diagnostics from X-ray 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, Multi-Step 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. Ramanan, L. Singh, A. Kumar, A. Suresh, A. Sampathkumar, V. Jain, N. Bacanin, Secure blockchain enabled Cyber-Physical 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
• M. Antonijevic, D. Jovanovic, S. Lazarevic, D. Mladenovic, M. Bukumira, N. Bacanin, Target recognition approach using image local features in rehabilitation robots, JOURNAL OF ELECTRONIC IMAGING, Vol. 31, No. 6, pp. 1 - 13, Jun, 2022
• N. Bacanin, C. Stoean, M. Zivkovic, D. Jovanovic, M. Antonijevic, D. Mladenovic, Multi-Swarm 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 bag-of-tasks scheduling on cloud data centers using hybrid swarm-intelligence meta-heuristic, 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. Kumar Shandilya, N. Bacanin, Federated Learning-Based 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 COVID-19 Classification, JOURNAL OF COMPUTATIONAL BIOLOGY, pp. 1 - 15, Apr, 2022
• N. Bacanin, M. Zivkovic, F. Al-Turjman, 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, COVID-19 Severity Prediction Using Enhanced Whale with Salp Swarm Feature Classification, CMC-Computers, 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 cloud-edge 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, CMC-Computers, 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, Multi-objective 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 Multi-Layer Perceptron with Enhanced Brain Storm Optimization Metaheuristics, CMC-Computers, 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 Quasi-Refection-Based 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 Quasi-Reflection-Based 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 Walsh-Hadamard 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 Fruit-Fly Optimization Algorithm with K-Means for Text Document Clustering, Mathematics, Vol. 9, No. 16, pp. 1 - 19, Aug, 2021
• M. Šarac, N. Pavlović, N. Bačanin Džakula, F. Al-Turjman, 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. Al-Turjman, Optimized convolutional neural network by firefly algorithm for magnetic resonance image classification of glioma brain tumor grade, Journal of Real-Time Image Processing, pp. 1 - 14, Apr, 2021
• H. Mohammed, A. Zral Kh., T. Rashid, A. Alsadoon, N.Bacanin, A new K-means 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. Al-Turjman, COVID-19 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 COVID-19 Related Messages in Social Networks by Involving an N-Gram 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 Mean-Variance 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 mean-variance 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 Object-Oriented 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 object-oriented 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. 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 COVID-19 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 Short-Term 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
• 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 COVID-19 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 COVID-19 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. El-sadai, 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, Nature-Inspired 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 Opposition-Based 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, Multi-layer perceptron training by genetic algorithms, Sinteza 2020, Oct, 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. 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, 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 (YEF-ECE), 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 (YEF-ECE), 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 p-Median 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 K-Means, 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 Large-Scale 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, UKSim-AMSS 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 Multi-objective 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 multi-objective 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, UKSim-AMSS, 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 Bound-Constraint 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 Feasibility-Based 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 (AMERICAN-MATH '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 Object-Oriented 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 Object-Oriented Software Implementation of a Modified Artificial Bee Colony (ABC) Algorithm, 11th International Conference on Evolutionary Computing (EC '10), pp. 179 - 184, Jun, 2010

Ostali radovi:

• 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 Multi-verse 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 Teaching-Learning-Based-Optimization 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 Multi-Layer 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, COVID-19 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. El-sadai, 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: COVID-19 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 Fitness-Dependent 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 Multi-verse 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 COVID-19 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 Bio-Inspired Computing, Springer, volume 1420, AISC Advances in Intelligent Systems and Computing: ICCVBIC 2021: Computational Vision and Bio-Inspired 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 COVID-19 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 Opposition-Based 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 Multi-Layer 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, Multi-layer Perceptron Training Using Hybridized Bat Algorithm, Chapter in AISC Advances in Intelligent Systems and Computing: ICCVBIC 2020: Computational Vision and Bio-Inspired Computing, Springer, volume 1318, AISC Advances in Intelligent Systems and Computing: ICCVBIC 2020: Computational Vision and Bio-Inspired 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 COVID-19 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, Feed-Forward 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. 163-171, 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, Multi-objective 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, 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 Multi-Objective 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 p-Median 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 p-Median Problem, Chapter in: Springer-Nature Advances in Swarm Intelligence, Lecture Notes in Computer Science, Vol. 10941, Springer-Nature 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 Feed-Forward 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