Timea Bezdan

I. Bešlić, T. Bezdan, G. Jovanović, S. Davila, G. Pehnec, S. Herceg Romanić, A. Stojić, M. Perišić, Uncovering Benzene Pollution Patterns Using an Interpretable, Setting-Aware Artificial Intelligence Approach, Toxics, Vol. 14, No. 2, Feb, 2026

G. Jovanović, T. Bezdan, S. Herceg Romanić, M. Matek Sarić, M. Biošić, G. Mendaš, A. Stojić, M. Perišić, Application of the AI-Based Framework for Analyzing the Dynamics of Persistent Organic Pollutants (POPs) in Human Breast Milk, Toxics, Vol. 13, No. 8, Jul, 2025

N. Radić, M. Perišić, G. Jovanović, Т. Bezdan, S. Stanišić, N. Stanić, A. Stojić, An AI-Based Framework for Characterizing the Atmospheric Fate of Air Pollutants Within Diverse Environmental Settings, Atmosphere, Vol. 16, No. 2, pp. 231 - 243, Feb, 2025

N. Panić, М. Марјановић, T. Bezdan, Addressing Demographic Bias in Age Estimation Models through Optimized Dataset Composition, Mathematics, Vol. 12, No. 15, pp. 2358 - 2358, Jul, 2024

S. Bagheri, H. Farahani, P. Watson, T. Bezdan, K. Rezaiean, Unraveling symptom interplay: a network analysis of procrastination in gifted students, BMC Psychology, Vol. 12, No. 1, Jun, 2024

A. Cuk, T. Bezdan, L. Jovanovic, M. Antonijevic, M. Stankovic, V. Simic, M. Zivkovic, N. Bacanin, Tuning attention based long-short term memory neural networks for Parkinson’s disease detection using modified metaheuristics, Scientific Reports, Vol. 14, No. 4309, pp. 1 - 12, Feb, 2024

G. Jovanović, M. Perišić, T. Bezdan, S. Stanišić, K. Radusin, A. Popović, A. Stojić, The PM2.5-Bound Polycyclic Aromatic Hydrocarbon Behavior in Indoor and Outdoor Environments, Part III: Role of Environmental Settings in Elevating Indoor Concentrations of Benzo(a)pyrene, Atmosphere, 2024

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

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

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, 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

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

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

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

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

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

N. Bačanin DŽakula, T. Bezdan, E. Tuba, I. Štrumberger, 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

2025 IEEE Zooming Innovation in Consumer Technologies Conference (ZINC)

I. Strumberger, L. Jovanovic, A. Petrovic, J. Gavrilovic, T. Bezdan, E. Tuba, Forecasting Domestic Solar Power Production via Recurrent Networks Tuned by a Modified Metaheuristic, IEEE, Aug, 2025

Sinteza 2025

S. Offorjindu, Т. Бездан, М. Марјановић, Effects of Adam optimizer variants on the Brain Tumor Segmentation task, May, 2025

Sinteza 2024

T. Bezdan, M. Perišić, G. Jovanović, N. Bačanin DŽakula, A. Stojić, Artificial Intelligence-Based Framework for Analyzing Crises-Caused Air Pollution, Sinteza 2024, pp. 281 - 287, May, 2024

Sinteza 2024

B. Gutić, Т. Бездан, М. Марјановић, P. Watson, H. Farahani, EXPLAINABLE ARTIFICIAL INTELLIGENCE IN DECODING HUMAN EMOTIONS THROUGH VISION TRANSFORMERS, Sinteza 2024, pp. 168 - 174, May, 2024

2024 12th International Symposium on Digital Forensics and Security (ISDFS)

T. Bezdan, И. Штрумбергер, М. Туба, Optimizing Machine Learning for Breast Cancer Detection by Hybrid Metaheuristic Approach, IEEE, pp. 1 - 6, Apr, 2024

2024 IEEE 12th International Symposium on Digital Forensics and Security (ISDFS)

T. Bezdan, I. Strumberger, M. Tuba, Optimizing Machine Learning for Breast Cancer Detection by Hybrid Metaheuristic Approach, 2024 IEEE 12th International Symposium on Digital Forensics and Security (ISDFS), San Antonio, TX, USA, pp. 1 - 6, Apr, 2024

2022 IEEE Zooming Innovation in Consumer Technologies Conference (ZINC)

A. Vesic, M. Marjanovic, A. Petrovic, I. Strumberger, E. Tuba, T. Bezdan, Optimizing Extreme Learning Machine by Animal Migration Optimization, 2022 IEEE Zooming Innovation in Consumer Technologies Conference (ZINC), Novi Sad, Serbia, pp. 261 - 266, May, 2022

Telfor

I. Strumberger, T. Bezdan, M. Ivanovic, L. Jovanovic, Improving Energy Usage in Wireless Sensor Networks by Whale Optimization Algorithm, 2021 29th Telecommunications Forum (TELFOR), pp. 1 - 4, Nov, 2021

Telfor

A. Petrovic, I. Strumberger, T. Bezdan, H. Shaker Jassim, S. Suleiman Nassor, Cryptocurrency Price Prediction by Using Hybrid Machine Learning and Beetle Antennae Search Approach, 2021 29th Telecommunications Forum (TELFOR), Belgrade, Serbia, pp. 1 - 4, Nov, 2021

Telfor

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

2021 Zooming Innovation in Consumer Technologies Conference (ZINC)

T. Bezdan, А. 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

2021 Zooming Innovation in Consumer Technologies Conference (ZINC)

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

ECBS 2021: 7th Conference on the Engineering of Computer Based Systems

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

Sinteza 2020

L. Gajić, D. Cvetnić, T. Bezdan, M. Živković, N. Bačanin, Multi-layer perceptron training by genetic algorithms, Sinteza 2020, Oct, 2020

2020 IEEE International Joint Conference on Neural Networks (IJCNN)

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

2020 International Wireless Communications and Mobile Computing (IWCMC)

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

Telfor

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

Sinteza 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

T. Bezdan, A. Alihodzic, E. Tuba, M. Tuba, Transformative Insights of Sentiment Analysis with Explainable Transformer Models, Smart Innovation, Systems and Technologies: ICT for Intelligent Systems Proceedings of ICTIS 2024, Volume 2, pp. 301 - 308, Springer Nature, Sep, 2024

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 Time-Series 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

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, 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

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

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

Т. Бездан, 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

Т. Бездан, 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

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