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ORCIDMiodrag Zivkovic
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2020 – today
- 2025
[j48]Andjela Jovanovic, Luka Jovanovic, Miodrag Zivkovic, Nebojsa Bacanin, Vladimir Simic, Dragan Pamucar, Milos Antonijevic:
Particle swarm optimization tuned multi-headed long short-term memory networks approach for fuel prices forecasting. J. Netw. Comput. Appl. 233: 104048 (2025)- 2024
- [j47]Radic Goran
, Luka Jovanovic, Nebojsa Bacanin, Milos S. Stankovic, Vladimir Simic, Milos Antonijevic, Miodrag Zivkovic:
Identifying and Understanding Student Dropouts Using Metaheuristic Optimized Classifiers and Explainable Artificial Intelligence Techniques. IEEE Access 12: 122377-122400 (2024) - [j46]Marijana Pavlov-Kagadejev, Luka Jovanovic, Nebojsa Bacanin, Muhammet Deveci, Miodrag Zivkovic, Milan Tuba, Ivana Strumberger, Witold Pedrycz:
Optimizing long-short-term memory models via metaheuristics for decomposition aided wind energy generation forecasting. Artif. Intell. Rev. 57(3): 45 (2024) - [j45]Mihailo Todorovic, Nemanja Stanisic, Miodrag Zivkovic, Nebojsa Bacanin, Vladimir Simic, Erfan Babaee Tirkolaee:
Improving audit opinion prediction accuracy using metaheuristics-tuned XGBoost algorithm with interpretable results through SHAP value analysis. Appl. Soft Comput. 149(Part A): 110955 (2024) - [j44]Nebojsa Bacanin, Luka Jovanovic, Ruxandra Stoean, Catalin Stoean, Miodrag Zivkovic, Milos Antonijevic, Milos Dobrojevic:
Respiratory Condition Detection Using Audio Analysis and Convolutional Neural Networks Optimized by Modified Metaheuristics. Axioms 13(5): 335 (2024) - [j43]Luka Jovanovic, Nebojsa Bacanin, Vladimir Simic, Dragan Pamucar, Miodrag Zivkovic:
Audio analysis speeding detection techniques based on metaheuristic-optimized machine learning models. Eng. Appl. Artif. Intell. 133: 108463 (2024) - [j42]Luka Jovanovic, Nebojsa Bacanin, Miodrag Zivkovic, Milos Antonijevic, Bojan Jovanovic, Marija Bogicevic-Sretenovic, Ivana Strumberger:
Machine learning tuning by diversity oriented firefly metaheuristics for Industry 4.0. Expert Syst. J. Knowl. Eng. 41(2) (2024) - [j41]Marko Stankovic, Luka Jovanovic, Aleksandra Bozovic, Nebojsa Budimirovic, Miodrag Zivkovic, Nebojsa Bacanin:
Exploring the potential of combining Mel spectrograms with neural networks optimized by the modified crayfish optimization algorithm for acoustic speed violation identification. Int. J. Hybrid Intell. Syst. 20(2): 119-143 (2024) - [j40]Aleksandar Petrovic, Luka Jovanovic, K. Venkatachalam, Miodrag Zivkovic, Nebojsa Bacanin, Nebojsa Budimirovic:
Anomaly detection in electrocardiogram signals using metaheuristic optimized time-series classification with attention incorporated models. Int. J. Hybrid Intell. Syst. 20(2): 159-183 (2024) - [j39]Vule Mizdrakovic, Maja Kljajic, Miodrag Zivkovic, Nebojsa Bacanin, Luka Jovanovic, Muhammet Deveci, Witold Pedrycz:
Forecasting bitcoin: Decomposition aided long short-term memory based time series modeling and its explanation with Shapley values. Knowl. Based Syst. 299: 112026 (2024) - [j38]Nebojsa Bacanin, Catalin Stoean, Dusan Markovic, Miodrag Zivkovic, Tarik A. Rashid, Amit Chhabra, Marko Sarac:
Improving performance of extreme learning machine for classification challenges by modified firefly algorithm and validation on medical benchmark datasets. Multim. Tools Appl. 83(31): 76035-76075 (2024) - [j37]Luka Jovanovic, Miodrag Zivkovic, Nebojsa Bacanin, Milos Dobrojevic, Vladimir Simic, Kishor Kumar Sadasivuni, Erfan Babaee Tirkolaee:
Evaluating the performance of metaheuristic-tuned weight agnostic neural networks for crop yield prediction. Neural Comput. Appl. 36(24): 14727-14756 (2024) - [j36]Robertas Damasevicius, Luka Jovanovic, Aleksandar Petrovic, Miodrag Zivkovic, Nebojsa Bacanin, Dejan Jovanovic, Milos Antonijevic:
Decomposition aided attention-based recurrent neural networks for multistep ahead time-series forecasting of renewable power generation. PeerJ Comput. Sci. 10: e1795 (2024) - [j35]Luka Jovanovic, Robertas Damasevicius, Rade Matic, Milos Kabiljo, Vladimir Simic, Goran Kunjadic, Milos Antonijevic, Miodrag Zivkovic, Nebojsa Bacanin:
Detecting Parkinson's disease from shoe-mounted accelerometer sensors using convolutional neural networks optimized with modified metaheuristics. PeerJ Comput. Sci. 10: e2031 (2024) - [j34]Luka Jovanovic, Nebojsa Bacanin, Vladimir Simic, Joseph Mani, Miodrag Zivkovic, Marko Sarac:
Optimizing machine learning for space weather forecasting and event classification using modified metaheuristics. Soft Comput. 28(7): 6383-6402 (2024) - 2023
- [j33]Catalin Stoean, Miodrag Zivkovic, Aleksandra Bozovic, Nebojsa Bacanin, Roma Strulak-Wójcikiewicz, Milos Antonijevic, Ruxandra Stoean:
Metaheuristic-Based Hyperparameter Tuning for Recurrent Deep Learning: Application to the Prediction of Solar Energy Generation. Axioms 12(3): 266 (2023) - [j32]Nebojsa Bacanin, Milos Antonijevic, Timea Bezdan, Miodrag Zivkovic, K. Venkatachalam, Sharaf J. Malebary:
Energy efficient offloading mechanism using particle swarm optimization in 5G enabled edge nodes. Clust. Comput. 26(1): 587-598 (2023) - [j31]Luka Jovanovic, Ivana Strumberger, Nebojsa Bacanin, Miodrag Zivkovic, Milos Antonijevic, Petar Bisevac:
Tuned long short-term memory model for Ethereum price forecasting via an arithmetic optimization algorithm. Int. J. Hybrid Intell. Syst. 19(1): 27-43 (2023) - [j30]Nebojsa Bacanin, Luka Jovanovic, Miodrag Zivkovic, Venkatachalam Kandasamy, Milos Antonijevic, Muhammet Deveci, Ivana Strumberger:
Multivariate energy forecasting via metaheuristic tuned long-short term memory and gated recurrent unit neural networks. Inf. Sci. 642: 119122 (2023) - [j29]Branislav Radomirovic, Vuk Jovanovic, Bosko Nikolic, Sasa Stojanovic, K. Venkatachalam, Miodrag Zivkovic, Angelina Njegus, Nebojsa Bacanin, Ivana Strumberger:
Text Document Clustering Approach by Improved Sine Cosine Algorithm. Inf. Technol. Control. 52(2): 541-561 (2023) - [j28]Marko Sarac, Milos Mravik, Dijana Jovanovic, Ivana Strumberger, Miodrag Zivkovic, Nebojsa Bacanin:
Intelligent diagnosis of coronavirus with computed tomography images using a deep learning model. Adv. Math. Commun. 32(2) (2023) - [j27]Luka Jovanovic, Dijana Jovanovic, Milos Antonijevic, Bosko Nikolic, Nebojsa Bacanin, Miodrag Zivkovic, Ivana Strumberger:
Improving Phishing Website Detection Using a Hybrid Two-level Framework for Feature Selection and XGBoost Tuning. J. Web Eng. 22(3): 543-574 (2023) - [j26]Nebojsa Bacanin, K. Venkatachalam, Timea Bezdan, Miodrag Zivkovic, Mohamed Abouhawwash:
A novel firefly algorithm approach for efficient feature selection with COVID-19 dataset. Microprocess. Microsystems 98: 104778 (2023) - [j25]Milos Dobrojevic, Miodrag Zivkovic, Amit Chhabra, Nor Samsiah Sani, Nebojsa Bacanin, Maifuza 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 Comput. Sci. 9: e1405 (2023) - [j24]Mihailo Bjekic, Ana Lazovic, Venkatachalam K, Nebojsa Bacanin, Miodrag Zivkovic, Goran S. Kvascev, Bosko Nikolic:
Wall segmentation in 2D images using convolutional neural networks. PeerJ Comput. Sci. 9: e1565 (2023) - [j23]Ana Minic, Luka Jovanovic, Nebojsa Bacanin, Catalin Stoean, Miodrag Zivkovic, Petar Spalevic, Aleksandar Petrovic, Milos Dobrojevic, Ruxandra Stoean:
Applying Recurrent Neural Networks for Anomaly Detection in Electrocardiogram Sensor Data. Sensors 23(24): 9878 (2023) - [j22]Marko Caric, Miodrag Zivkovic:
The Number of Nonequivalent Monotone Boolean Functions of 8 Variables. IEEE Trans. Inf. Theory 69(6): 4027-4034 (2023) - [c15]Ivana Strumberger, Miodrag Zivkovic, Venkat Ram Raj Thumiki, Aleksandar Djordjevic, Jelena Gajic, Nebojsa Bacanin:
Multivariate Bitcoin Price Prediction Based on Tuned Bidirectional Long Short-Term Memory Network and Enhanced Reptile Search Algorithm. ICIST 2023: 38-52 - [c14]Branislav Radomirovic, Luka Jovanovic, Catalin Stoean, Miodrag Zivkovic, Angelina Njegus, Nebojsa Bacanin:
Solar Flare Classification using Modified Metaheuristic Optimized XGBoost. SYNASC 2023: 287-292 - 2022
- [j21]S. Prakash, M. Vinoth Kumar, Saravana Ram Ram, Miodrag Zivkovic, Nebojsa Bacanin, Milos Antonijevic:
Hybrid GLFIL Enhancement and Encoder Animal Migration Classification for Breast Cancer Detection. Comput. Syst. Sci. Eng. 41(2): 735-749 (2022) - [j20]G. R. Sreekanth, S. Ahmed Najat Ahmed, Marko Sarac, Ivana Strumberger, Nebojsa Bacanin, Miodrag Zivkovic:
Mobile Fog Computing by Using SDN/NFV on 5G Edge Nodes. Comput. Syst. Sci. Eng. 41(2): 751-765 (2022) - [j19]R. Punithavathi, M. Kowsigan, R. Shanthakumari, Miodrag Zivkovic, Nebojsa Bacanin, Marko Sarac:
Protecting Data Mobility in Cloud Networks Using Metadata Security. Comput. Syst. Sci. Eng. 42(1): 105-120 (2022) - [j18]R. S. Latha, Saravana Balaji B., Nebojsa Bacanin, Ivana Strumberger, Miodrag Zivkovic, Milos Kabiljo:
Feature Selection Using Grey Wolf Optimization with Random Differential Grouping. Comput. Syst. Sci. Eng. 43(1): 317-332 (2022) - [j17]Timea Bezdan, Miodrag Zivkovic, Nebojsa Bacanin, Amit Chhabra, Suresh Muthusamy:
Feature Selection by Hybrid Brain Storm Optimization Algorithm for COVID-19 Classification. J. Comput. Biol. 29(6): 515-529 (2022) - [j16]Milos Bukumira, Milos Antonijevic, Dijana Jovanovic, Miodrag Zivkovic, Djordje Mladenovic, Goran Kunjadic:
Carrot grading system using computer vision feature parameters and a cascaded graph convolutional neural network. J. Electronic Imaging 31(6) (2022) - [j15]Timea Bezdan, Miodrag Zivkovic, Nebojsa Bacanin, Ivana Strumberger, Eva Tuba, Milan Tuba:
Multi-objective task scheduling in cloud computing environment by hybridized bat algorithm. J. Intell. Fuzzy Syst. 42(1): 411-423 (2022) - [j14]Nebojsa Bacanin, Miodrag Zivkovic, Timea Bezdan, K. Venkatachalam, Mohamed Abouhawwash:
Modified firefly algorithm for workflow scheduling in cloud-edge environment. Neural Comput. Appl. 34(11): 9043-9068 (2022) - [j13]Miodrag Zivkovic, Milan Tair, Venkatachalam K, Nebojsa Bacanin, Stepán Hubálovský, Pavel Trojovský:
Novel hybrid firefly algorithm: an application to enhance XGBoost tuning for intrusion detection classification. PeerJ Comput. Sci. 8: e956 (2022) - [j12]Miodrag Zivkovic, Catalin Stoean, Amit Chhabra, Nebojsa Budimirovic, Aleksandar Petrovic, Nebojsa Bacanin:
Novel Improved Salp Swarm Algorithm: An Application for Feature Selection. Sensors 22(5): 1711 (2022) - [j11]Nebojsa Bacanin, Catalin Stoean, Miodrag Zivkovic, Dijana Jovanovic, Milos Antonijevic, Djordje Mladenovic:
Multi-Swarm Algorithm for Extreme Learning Machine Optimization. Sensors 22(11): 4204 (2022) - [j10]Nebojsa Bacanin, Marko Sarac, Nebojsa Budimirovic, Miodrag Zivkovic, Ahmad Ali AlZubi, Ali Kashif Bashir:
Smart wireless health care system using graph LSTM pollution prediction and dragonfly node localization. Sustain. Comput. Informatics Syst. 35: 100711 (2022) - [c13]Nebojsa Bacanin, Aleksandar Petrovic, Milos Antonijevic, Miodrag Zivkovic, Marko Sarac, Eva Tuba, Ivana Strumberger:
Intrusion Detection by XGBoost Model Tuned by Improved Social Network Search Algorithm. MDIS 2022: 104-121 - [c12]Marko Stankovic, Nebojsa Bacanin, Miodrag Zivkovic, Dijana Jovanovic, Milos Antonijevic, Milos Bukmira, Ivana Strumberger:
Feature Selection and Extreme Learning Machine Tuning by Hybrid Sand Cat Optimization Algorithm for Diabetes Classification. MDIS 2022: 188-203 - [c11]Luka Jovanovic, Dijana Jovanovic, Milos Antonijevic, Miodrag Zivkovic, Nebojsa Budimirovic, Ivana Strumberger, Nebojsa Bacanin:
The XGBoost Tuning by Improved Firefly Algorithm for Network Intrusion Detection. SYNASC 2022: 268-275 - 2021
- [j9]Nebojsa Bacanin, Timea Bezdan, K. Venkatachalam, Miodrag Zivkovic, Ivana Strumberger, Mohamed Abouhawwash, Abeer B. Ahmed:
Artificial Neural Networks Hidden Unit and Weight Connection Optimization by Quasi-Refection-Based Learning Artificial Bee Colony Algorithm. IEEE Access 9: 169135-169155 (2021) - [j8]Dorde Stakic, Miodrag Zivkovic, Ana Anokic:
A Reduced Variable Neighborhood Search Approach to the Heterogeneous Vector Bin Packing Problem. Inf. Technol. Control. 50(4): 808-826 (2021) - [j7]Jameer Basha, Nebojsa Bacanin, Nikola Vukobrat, Miodrag Zivkovic, K. Venkatachalam, Stepán Hubálovský, Pavel Trojovský:
Chaotic Harris Hawks Optimization with Quasi-Reflection-Based Learning: An Application to Enhance CNN Design. Sensors 21(19): 6654 (2021) - [j6]Miodrag Zivkovic, Marko Caric:
On the Number of Equivalence Classes of Boolean and Invertible Boolean Functions. IEEE Trans. Inf. Theory 67(1): 391-407 (2021) - [c10]Tamara Zivkovic, Miodrag Zivkovic:
Survey of Learning Environments for Software Testing Education. ECBS 2021: 7:1-7:9 - [c9]Timea Bezdan, Dusan Cvetnic, Luka Gajic, Miodrag Zivkovic, Ivana Strumberger, Nebojsa Bacanin:
Feature Selection by Firefly Algorithm with Improved Initialization Strategy. ECBS 2021: 8:1-8:8 - [c8]Pavle Dakic, Miodrag Zivkovic:
An overview of the challenges for developing software within the field of autonomous vehicles. ECBS 2021: 16:1-16:10 - [c7]Nebojsa Bacanin, Aleksandar Petrovic, Miodrag Zivkovic, Timea Bezdan, Milos Antonijevic:
Feature Selection in Machine Learning by Hybrid Sine Cosine Metaheuristics. ICACDS (1) 2021: 604-616 - [c6]Miodrag Zivkovic, Catalin Stoean, Aleksandar Petrovic, Nebojsa Bacanin, Ivana Strumberger, Tamara Zivkovic:
A Novel Method for COVID-19 Pandemic Information Fake News Detection Based on the Arithmetic Optimization Algorithm. SYNASC 2021: 259-266 - 2020
- [j5]Milos Antonijevic, Miodrag Zivkovic, Sladjana Arsic, Aleksandar Jevremovic:
Using AI-Based Classification Techniques to Process EEG Data Collected during the Visual Short-Term Memory Assessment. J. Sensors 2020: 8767865:1-8767865:12 (2020) - [j4]Saravana Ram Ram, M. Vinoth Kumar, Balambigai Subramanian, Nebojsa Bacanin, Miodrag Zivkovic, Ivana Strumberger:
Speech enhancement through improvised conditional generative adversarial networks. Microprocess. Microsystems 79: 103281 (2020) - [c5]Miodrag Zivkovic, Nebojsa Bacanin, Eva Tuba, Ivana Strumberger, Timea Bezdan, Milan Tuba:
Wireless Sensor Networks Life Time Optimization Based on the Improved Firefly Algorithm. IWCMC 2020: 1176-1181 - [c4]Stefan Milosevic, Timea Bezdan, Miodrag Zivkovic, Nebojsa Bacanin, Ivana Strumberger, Milan Tuba:
Feed-Forward Neural Network Training by Hybrid Bat Algorithm. MDIS 2020: 52-66
2010 – 2019
- 2019
- [c3]Nebojsa Bacanin, Eva Tuba, Miodrag Zivkovic, Ivana Strumberger, Milan Tuba:
Whale Optimization Algorithm with Exploratory Move for Wireless Sensor Networks Localization. HIS 2019: 328-338 - [c2]Ivana Strumberger, Eva Tuba, Miodrag Zivkovic, Nebojsa Bacanin, Marko Beko, Milan Tuba:
Dynamic Search Tree Growth Algorithm for Global Optimization. DoCEIS 2019: 143-153 - 2017
- [j3]Algaddafi Khalifa Alpotte, Miodrag Zivkovic, Irina Branovic, Ranko Popovic:
Multilingual virtual environment for wireless sensor networks. Comput. Appl. Eng. Educ. 25(2): 200-213 (2017) - 2016
- [i1]Marko Caric, Miodrag Zivkovic:
On the number of equivalence classes of invertible Boolean functions under action of permutation of variables on domain and range. CoRR abs/1603.04386 (2016) - 2014
- [j2]Miodrag Zivkovic, Bosko Nikolic, Jelica Protic, Ranko Popovic:
A Survey and Classification of Wireless Sensor Networks Simulators Based on the Domain of Use. Ad Hoc Sens. Wirel. Networks 20(3-4): 245-287 (2014) - [c1]Irina Branovic, Ranko Popovic, Nenad Jovanovic, Roberto Giorgi, Bosko Nikolic, Miodrag Zivkovic:
Integration of simulators in virtual 3D computer science classroom. EDUCON 2014: 1164-1167
1990 – 1999
- 1999
- [j1]Miodrag Zivkovic:
The number of primes is finite. Math. Comput. 68(225): 403-409 (1999)
Coauthor Index
[j48] [j47] [j46] [j45] [j44] [j43] [j42] [j41] [j40] [j39] [j38] [j37] [j36] [j35] [j34] [j33] [j32] [j31] [j30] [j29] [j28] [j27] [j26] [j25] [j24] [j23] [c15] [c14] [j21] [j20] [j19] [j18] [j17] [j15] [j14] [j13] [j12] [j11] [j10] [c13] [c12] [c11] [j9] [j7] [c9] [c7] [c6] [j4] [c5] [c4] [c3] [c2]
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