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2020 – today
- 2025
[j78]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)- [j77]Venkatachalam Kandasamy, Vladimir Simic, Nebojsa Bacanin, Dragan Pamucar:
Optimized deep learning networks for accurate identification of cancer cells in bone marrow. Neural Networks 181: 106822 (2025) - 2024
- [j76]Jelica Cincovic, Luka Jovanovic, Bosko Nikolic, Nebojsa Bacanin:
Neurodegenerative Condition Detection Using Modified Metaheuristic for Attention Based Recurrent Neural Networks and Extreme Gradient Boosting Tuning. IEEE Access 12: 26719-26734 (2024) - [j75]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) - [j74]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) - [j73]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) - [j72]Shahzaib Ashraf, Wania Iqbal, Muhammad Shazib Hameed, Vladimir Simic, Nebojsa Bacanin:
An enhanced CRADIS decision model for optimizing radioactive waste reduction through transmutations based on Disc Spherical Fuzzy information. Appl. Soft Comput. 167: 112289 (2024) - [j71]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) - [j70]Karahan Kara, Galip Cihan Yalçin, Vladimir Simic, Ismail Onden, Sercan Edinsel, Nebojsa Bacanin:
A single-valued neutrosophic-based methodology for selecting warehouse management software in sustainable logistics systems. Eng. Appl. Artif. Intell. 129: 107626 (2024) - [j69]Ali Ala, Vladimir Simic, Dragan Pamucar, Nebojsa Bacanin:
Enhancing patient information performance in internet of things-based smart healthcare system: Hybrid artificial intelligence and optimization approaches. Eng. Appl. Artif. Intell. 131: 107889 (2024) - [j68]Ali Ala, Vladimir Simic, Nebojsa Bacanin, Erfan Babaee Tirkolaee:
Blood supply chain network design with lateral freight: A robust possibilistic optimization model. Eng. Appl. Artif. Intell. 133: 108053 (2024) - [j67]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) - [j66]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) - [j65]Shengzong Zhou, Nebojsa Bacanin:
Artificial intelligence in advanced manufacturing. Int. J. Comput. Integr. Manuf. 37(4): 383-384 (2024) - [j64]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) - [j63]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) - [j62]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) - [j61]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) - [j60]Amir Seyyedabbasi, Wadhah Zeyad Tareq Tareq, Nebojsa Bacanin:
An Effective Hybrid Metaheuristic Algorithm for Solving Global Optimization Algorithms. Multim. Tools Appl. 83(37): 85103-85138 (2024) - [j59]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) - [j58]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) - [j57]Afra Siab, Muhammad Sajjad Ali Khan, Muhammad Asif Jan, Vladimir Simic, Nebojsa Bacanin, Tapan Senapati:
Aczel Alsina t-norm and t-conorm-based aggregation operators under linguistic interval-valued intuitionistic fuzzy setting with application. PeerJ Comput. Sci. 10: e1979 (2024) - [j56]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) - [j55]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) - [j54]Jing Tang, Qiaohong Zheng, Weizhong Wang, Muhammet Deveci, Nebojsa Bacanin, Aws Alaa Zaidan:
Analyzing Information Security Factors in Adoption of Intelligent Technologies for Medical Waste Management Systems. IEEE Trans. Consumer Electron. 70(1): 2066-2077 (2024) - [j53]Naveen Sundar Gnanadesigan, Grace Angela Abraham Lincoln, Narmadha Dhanasegar, Suresh Muthusamy, Deeba Kannan, Surendiran Balasubramanian, Nebojsa Bacanin, Kishor Kumar Sadasivuni:
A New Method for Detecting the Fatigue Using Automated Deep Learning Techniques for Medical Imaging Applications. Wirel. Pers. Commun. 135(2): 1009-1034 (2024) - [c55]Olexander Ryzhanskyi, Eduard Manziuk, Olexander Barmak, Iurii Krak, Nebojsa Bacanin:
An Approach to Optimizing CO2 Emissions in Traffic Control via Reinforcement Learning. IntelITSIS 2024: 137-155 - 2023
- [j52]Sara Boskovic, Libor Svadlenka, Stefan Jovcic, Momcilo Dobrodolac, Vladimir Simic, Nebojsa Bacanin:
An Alternative Ranking Order Method Accounting for Two-Step Normalization (AROMAN) - A Case Study of the Electric Vehicle Selection Problem. IEEE Access 11: 39496-39507 (2023) - [j51]Sara Boskovic, Libor Svadlenka, Stefan Jovcic, Momcilo Dobrodolac, Vladimir Simic, Nebojsa Bacanin:
A New FullEX Decision-Making Technique for Criteria Importance Assessment: An Application to the Sustainable Last-Mile Delivery Courier Selection. IEEE Access 11: 137426-137436 (2023) - [j50]Tamara Zivkovic, Bosko Nikolic, Vladimir Simic, Dragan Pamucar, Nebojsa Bacanin:
Software defects prediction by metaheuristics tuned extreme gradient boosting and analysis based on Shapley Additive Explanations. Appl. Soft Comput. 146: 110659 (2023) - [j49]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) - [j48]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) - [j47]Nebojsa Bacanin:
Hybrid multi agent optimization for optimal battery storage using micro grid. Expert Syst. J. Knowl. Eng. 40(4) (2023) - [j46]K. Venkatachalam, Pavel Trojovský, Dragan Pamucar, Nebojsa Bacanin, Vladimir Simic:
DWFH: An improved data-driven deep weather forecasting hybrid model using Transductive Long Short Term Memory (T-LSTM). Expert Syst. Appl. 213(Part): 119270 (2023) - [j45]Chnoor M. Rahman, Tarik A. Rashid, Abeer Alsadoon, Nebojsa Bacanin, Polla Fattah, Seyedali Mirjalili:
A survey on dragonfly algorithm and its applications in engineering. Evol. Intell. 16(1): 1-21 (2023) - [j44]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) - [j43]K. Venkatachalam, Zaoli Yang, Pavel Trojovský, Nebojsa Bacanin, Muhammet Deveci, Weiping Ding:
Bimodal HAR-An efficient approach to human activity analysis and recognition using bimodal hybrid classifiers. Inf. Sci. 628: 542-557 (2023) - [j42]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) - [j41]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) - [j40]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) - [j39]Robertas Damasevicius, Nebojsa Bacanin, Sanjay Misra:
From Sensors to Safety: Internet of Emergency Services (IoES) for Emergency Response and Disaster Management. J. Sens. Actuator Networks 12(3): 41 (2023) - [j38]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) - [j37]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) - [j36]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) - [j35]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) - [j34]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) - [c54]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 - [c53]Ruxandra Stoean, Patricio García Báez, Carmen Paz Suárez Araujo, Nebojsa Bacanin, Miguel A. Atencia Ruiz, Catalin Stoean:
Automatic Control of Class Weights in the Semantic Segmentation of Corrosion Compounds on Archaeological Artefacts. IWANN (2) 2023: 467-478 - [c52]Catalin Stoean, Nebojsa Bacanin, Zeev Volkovich, Leonard Ionescu, Ruxandra Stoean:
Study on Semantic Inpainting Deep Learning Models for Artefacts with Traditional Motifs. IWANN (2) 2023: 479-490 - [c51]Catalin Stoean, Nebojsa Bacanin, Ruxandra Stoean, Leonard Ionescu, Alina-Maria Garau, Cristina-Camelia Ghitescu:
Influence of Manual Inter-Observer Variability for the Performance of Deep Learning Models in Semantic Segmentation. SYNASC 2023: 266-273 - [c50]Branislav Radomirovic, Luka Jovanovic, Catalin Stoean, Miodrag Zivkovic, Angelina Njegus, Nebojsa Bacanin:
Solar Flare Classification using Modified Metaheuristic Optimized XGBoost. SYNASC 2023: 287-292 - [i10]Maryam T. Abdulkhaleq, Tarik A. Rashid, Bryar Ahmad Hassan, Abeer Alsadoon, Nebojsa Bacanin, Amit Chhabra, S. Vimal:
Fitness Dependent Optimizer with Neural Networks for COVID-19 patients. CoRR abs/2302.02986 (2023) - 2022
- [j33]Maryam T. Abdulkhaleq, Tarik A. Rashid, Abeer Alsadoon, Bryar Ahmad Hassan, Mokhtar Mohammadi, Jaza Mahmood Abdullah, Amit Chhabra, Sazan L. Ali, Rawshan N. Othman, Hadil A. Hasan, Sara Azad, Naz A. Mahmood, Sivan S. Abdalrahman, Hezha O. Rasul, Nebojsa Bacanin, S. Vimal:
Harmony search: Current studies and uses on healthcare systems. Artif. Intell. Medicine 131: 102348 (2022) - [j32]M. Ramanan, Laxman Singh, A. Suresh Kumar, A. Suresh, Sampathkumar Arumugam, Vishal Jain, Nebojsa Bacanin:
Secure blockchain enabled Cyber- Physical health systems using ensemble convolution neural network classification. Comput. Electr. Eng. 101: 108058 (2022) - [j31]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) - [j30]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) - [j29]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) - [j28]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) - [j27]Nebojsa Bacanin, Timea Bezdan, Fadi M. Al-Turjman, Tarik A. Rashid:
Artificial Flora Optimization Algorithm with Genetically Guided Operators for Feature Selection and Neural Network Training. Int. J. Fuzzy Syst. 24(5): 2538-2559 (2022) - [j26]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) - [j25]Milos Antonijevic, Ivana Strumberger, Sasa Lazarevic, Nebojsa Bacanin, Djordje Mladenovic, Dijana Jovanovic:
Robust encrypted face recognition robot based on bit slicing and Fourier transform for cloud environments. J. Electronic Imaging 31(6) (2022) - [j24]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) - [j23]Jasdeep Kaur, Amit Chhabra, Munish Saini, Nebojsa Bacanin:
COVID-19 Pandemic: Insights of Newspaper Trends. J. Inf. Technol. Res. 15(1): 1-23 (2022) - [j22]Sampathkumar Arumugam, Shishir Kumar Shandilya, Nebojsa Bacanin:
Federated Learning-Based Privacy Preservation with Blockchain Assistance in IoT 5G Heterogeneous Networks. J. Web Eng. 21(4): 1323-1346 (2022) - [j21]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) - [j20]Stepán Hubálovský, Pavel Trojovský, Nebojsa Bacanin, K. Venkatachalam:
Evaluation of deepfake detection using YOLO with local binary pattern histogram. PeerJ Comput. Sci. 8: e1086 (2022) - [j19]S. T. Suganthi, Mohamed Uvaze Ahamed Ayoobkhan, Krishna Kumar V, Nebojsa Bacanin, K. Venkatachalam, Stepán Hubálovský, Pavel Trojovský:
Deep learning model for deep fake face recognition and detection. PeerJ Comput. Sci. 8: e881 (2022) - [j18]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) - [j17]Kazhan Othman Mohammed Salih, Tarik A. Rashid, Dalibor Radovanovic, Nebojsa Bacanin:
A Comprehensive Survey on the Internet of Things with the Industrial Marketplace. Sensors 22(3): 730 (2022) - [j16]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) - [j15]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) - [j14]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) - [j13]Amit Chhabra, Kuo-Chan Huang, Nebojsa Bacanin, Tarik A. Rashid:
Optimizing bag-of-tasks scheduling on cloud data centers using hybrid swarm-intelligence meta-heuristic. J. Supercomput. 78(7): 9121-9183 (2022) - [c49]Ruxandra Stoean, Nebojsa Bacanin, Leonard Ionescu, Catalin Stoean, Marinela Boicea, Alina-Maria Garau, Cristina-Camelia Ghitescu:
Deep learning for a swift non-invasive recognition and delineation of corrosive iron compounds present on the surface of unrestored archaeological artefacts. KES 2022: 1303-1311 - [c48]Catalin Stoean, Nebojsa Bacanin, Wieslaw Paja, Ruxandra Stoean, Dominic Iliescu, Ciprian Patru, Rodica Nagy:
Semantic segmentation of fetal heart components in second trimester echocardiography. KES 2022: 3085-3092 - [c47]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 - [c46]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 - [c45]Eva Tuba, Ivana Strumberger, Ira Tuba, Nebojsa Bacanin, Milan Tuba:
Acute Lymphoblastic Leukemia Detection by Tuned Convolutional Neural Network. RADIOELEKTRONIKA 2022: 1-4 - [c44]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 - [c43]Catalin Stoean, Nebojsa Bacanin, Ruxandra Stoean, Leonard Ionescu, Cristian Daniel Alecsa, Mircea Hotoleanu, Miguel A. Atencia Ruiz, Gonzalo Joya:
On Using Perceptual Loss within the U-Net Architecture for the Semantic Inpainting of Textile Artefacts with Traditional Motifs. SYNASC 2022: 276-283 - [i9]Dosti Kh. Abbas, Tarik A. Rashid, Karmand H. Abdallaand, Nebojsa Bacanin, Abeer Alsadoon:
Using Fitness Dependent Optimizer for Training Multi-layer Perceptron. CoRR abs/2201.00563 (2022) - [i8]Kazhan Othman Mohammed Salih, Tarik A. Rashid, Dalibor Radovanovic, Nebojsa Bacanin:
A Comprehensive Survey on the Internet of Things with the Industrial Marketplace. CoRR abs/2202.03142 (2022) - [i7]Aso M. Aladdin, Jaza Mahmood Abdullah, Kazhan Othman Mohammed Salih, Tarik A. Rashid, Rafid Sagban, Abeer Alsadoon, Nebojsa Bacanin, Amit Chhabra, S. Vimal, Indradip Banerjee:
Fitness Dependent Optimizer for IoT Healthcare using Adapted Parameters: A Case Study Implementation. CoRR abs/2207.04846 (2022) - [i6]Maryam T. Abdulkhaleq, Tarik A. Rashid, Abeer Alsadoon, Bryar Ahmad Hassan, Mokhtar Mohammadi, Jaza Mahmood Abdullah, Amit Chhabra, Sazan L. Ali, Rawshan N. Othman, Hadil A. Hasan, Sara Azad, Naz A. Mahmood, Sivan S. Abdalrahman, Hezha O. Rasul, Nebojsa Bacanin, S. Vimal:
Harmony Search: Current Studies and Uses on Healthcare Systems. CoRR abs/2207.13075 (2022) - [i5]Barzan Hussein Tahir, Tarik A. Rashid, Hafiz Tayyab Rauf, Nebojsa Bacanin, Amit Chhabra, S. Vimal, Zaher Mundher Yaseen:
Improved Fitness Dependent Optimizer for Solving Economic Load Dispatch Problem. CoRR abs/2209.01073 (2022) - [i4]Rebin M. Ahmed, Tarik A. Rashid, Polla Fattah, Abeer Alsadoon, Nebojsa Bacanin, Seyedali Mirjalili, S. Vimal, Amit Chhabra:
Kurdish Handwritten Character Recognition using Deep Learning Techniques. CoRR abs/2210.13734 (2022) - 2021
- [j12]K. Venkatachalam, Siuly Siuly, Nebojsa Bacanin, Stepán Hubálovský, Pavel Trojovský:
An Efficient Gabor Walsh-Hadamard Transform Based Approach for Retrieving Brain Tumor Images From MRI. IEEE Access 9: 119078-119089 (2021) - [j11]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) - [j10]Nebojsa Bacanin, Timea Bezdan, K. Venkatachalam, Fadi Al-Turjman:
Optimized convolutional neural network by firefly algorithm for magnetic resonance image classification of glioma brain tumor grade. J. Real Time Image Process. 18(4): 1085-1098 (2021) - [j9]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) - [j8]Venkatachalam Kandasamy, Pavel Trojovský, Fadi Al Machot, Kyandoghere Kyamakya, Nebojsa Bacanin, Sameh S. Askar, Mohamed 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 21(22): 7582 (2021) - [j7]R. Gopi, S. T. Suganthi, Rajadevi Ramasamy, P. Johnpaul, Nebojsa Bacanin, S. Kannimuthu:
An Enhanced Green Cloud Based Queue Management (GCQM) System to Optimize Energy Consumption in Mobile Edge Computing. Wirel. Pers. Commun. 117(4): 3397-3419 (2021) - [c42]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 - [c41]K. Venkatachalam, Nebojsa Bacanin, Md. Enamul Kabir, P. Prabu:
Effective Tensor Based PCA Machine Learning Techniques for Glaucoma Detection and ASPP - EffUnet Classification. HIS 2021: 181-192 - [c40]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 - [c39]Ira Tuba, Ivana Strumberger, Eva Tuba, Nebojsa Bacanin, Milan Tuba:
Performance Analysis of the Fireworks Algorithm Versions. ICSI (1) 2021: 415-422 - [c38]Ruxandra Stoean, Nebojsa Bacanin, Leonard Ionescu, Marinela Boicea, Alina-Maria Garau, Cristina-Camelia Ghitescu:
Semantic Segmentation for Corrosion Detection in Archaeological Artefacts before Restoration. SYNASC 2021: 246-251 - [c37]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 - [i3]Hardi M. Mohammed, Zrar Kh. Abdul, Tarik A. Rashid, Abeer Alsadoon, Nebojsa Bacanin:
A New K means Grey Wolf Algorithm for Engineering Problems. CoRR abs/2103.05760 (2021) - [i2]Tarik A. Rashid, Chra I. Shekho Toghramchi, Heja Sindi, Abeer Alsadoon, Nebojsa Bacanin, Shahla U. Umar, Ahmed S. Shamsaldin, Mokhtar Mohammadi:
An Improved BAT Algorithm for Solving Job Scheduling Problems in Hotels and Restaurants. CoRR abs/2109.14441 (2021) - 2020
- [j6]Nebojsa Bacanin, Timea Bezdan, Eva Tuba, Ivana Strumberger, Milan Tuba:
Optimizing Convolutional Neural Network Hyperparameters by Enhanced Swarm Intelligence Metaheuristics. Algorithms 13(3): 67 (2020) - [j5]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) - [c36]Nebojsa Bacanin, Eva Tuba, Timea Bezdan, Ivana Strumberger, Raka Jovanovic, Milan Tuba:
Dropout Probability Estimation in Convolutional Neural Networks by the Enhanced Bat Algorithm. IJCNN 2020: 1-7 - [c35]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 - [c34]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 - [c33]Eva Tuba, Ivana Strumberger, Nebojsa Bacanin, Timea Bezdan, Milan Tuba:
Image Clustering by Generative Adversarial Optimization and Advanced Clustering Criteria. ICSI 2020: 465-475 - [i1]Danial A. Muhammed, Tarik A. Rashid, Abeer Alsadoon, Nebojsa Bacanin, Polla Fattah, Mokhtar Mohammadi, Indradip Banerjee:
An Improved Simulation Model for Pedestrian Crowd Evacuation. CoRR abs/2012.09135 (2020)
2010 – 2019
- 2019
- [j4]Ivana Strumberger, Milan Tuba, Nebojsa Bacanin, Eva Tuba:
Cloudlet Scheduling by Hybridized Monarch Butterfly Optimization Algorithm. J. Sens. Actuator Networks 8(3): 44 (2019) - [j3]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 19(11): 2515 (2019) - [c32]Ivana Strumberger, Eva Tuba, Nebojsa Bacanin, Milan Tuba:
Dynamic Tree Growth Algorithm for Load Scheduling in Cloud Environments. CEC 2019: 65-72 - [c31]Eva Tuba, Ivana Strumberger, Nebojsa Bacanin, Dejan Zivkovic, Milan Tuba:
Brain Storm Optimization Algorithm for Thermal Image Fusion using DCT Coefficients. CEC 2019: 234-241 - [c30]Eva Tuba, Ivana Strumberger, Nebojsa Bacanin, Raka Jovanovic, Milan Tuba:
Bare Bones Fireworks Algorithm for Feature Selection and SVM Optimization. CEC 2019: 2207-2214 - [c29]Eva Tuba, Ivana Strumberger, Nebojsa Bacanin, Milan Tuba:
Analysis of local binary pattern for emphysema classification in lung CT image. ECAI 2019: 1-5 - [c28]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 - [c27]Nebojsa Bacanin, Eva Tuba, Timea Bezdan, Ivana Strumberger, Milan Tuba:
Artificial Flora Optimization Algorithm for Task Scheduling in Cloud Computing Environment. IDEAL (1) 2019: 437-445 - [c26]Ivana Strumberger, Eva Tuba, Miodrag Zivkovic, Nebojsa Bacanin, Marko Beko, Milan Tuba:
Dynamic Search Tree Growth Algorithm for Global Optimization. DoCEIS 2019: 143-153 - [c25]Ivana Strumberger, Eva Tuba, Nebojsa Bacanin, Raka Jovanovic, Milan Tuba:
Convolutional Neural Network Architecture Design by the Tree Growth Algorithm Framework. IJCNN 2019: 1-8 - [c24]Eva Tuba, Ivana Strumberger, Timea Bezdan, Nebojsa Bacanin, Milan Tuba:
Classification and Feature Selection Method for Medical Datasets by Brain Storm Optimization Algorithm and Support Vector Machine. ITQM 2019: 307-315 - [c23]Ivana Strumberger, Eva Tuba, Nebojsa Bacanin, Milan Tuba:
Hybrid Elephant Herding Optimization Approach for Cloud Computing Load Scheduling. SEMCCO/FANCCO 2019: 201-212 - [c22]Eva Tuba, Ivana Strumberger, Nebojsa Bacanin, Dejan Zivkovic, Milan Tuba:
Acute Lymphoblastic Leukemia Cell Detection in Microscopic Digital Images Based on Shape and Texture Features. ICSI (2) 2019: 142-151 - 2018
- [c21]Ivana Strumberger, Eva Tuba, Nebojsa Bacanin, Marko Beko, Milan Tuba:
Hybridized Artificial Bee Colony Algorithm for Constrained Portfolio Optimization Problem. CEC 2018: 1-8 - [c20]Ivana Strumberger, Eva Tuba, Nebojsa Bacanin, Marko Beko, Milan Tuba:
Bare Bones Fireworks Algorithm for the RFID Network Planning Problem. CEC 2018: 1-8 - [c19]Eva Tuba, Ivana Strumberger, Dejan Zivkovic, Nebojsa Bacanin, Milan Tuba:
Mobile Robot Path Planning by Improved Brain Storm Optimization Algorithm. CEC 2018: 1-8 - [c18]Ivana Strumberger, Eva Tuba, Nebojsa Bacanin, Marko Beko, Milan Tuba:
Modified and Hybridized Monarch Butterfly Algorithms for Multi-Objective Optimization. HIS 2018: 449-458 - [c17]Ivana Strumberger, Eva Tuba, Nebojsa Bacanin, Marko Beko, Milan Tuba:
Modified Monarch Butterfly Optimization Algorithm for RFID Network Planning. ICMCS 2018: 1-6 - [c16]Eva Tuba, Ivana Strumberger, Dejan Zivkovic, Nebojsa Bacanin, Milan Tuba:
Rigid Image Registration by Bare Bones Fireworks Algorithm. ICMCS 2018: 1-6 - [c15]Ivana Strumberger, Marko Beko, Milan Tuba, Miroslav Minovic, Nebojsa Bacanin:
Elephant Herding Optimization Algorithm for Wireless Sensor Network Localization Problem. DoCEIS 2018: 175-184 - [c14]Ivana Strumberger, Eva Tuba, Nebojsa Bacanin, Marko Beko, Milan Tuba:
Wireless Sensor Network Localization Problem by Hybridized Moth Search Algorithm. IWCMC 2018: 316-321 - [c13]Slavisa Tomic, Marko Beko, Rodolfo Oliveira, Luís Bernardo, Nebojsa Bacanin, Milan Tuba:
On Hybrid RSS/TOA Target Localization in NLOS Environments. IWCMC 2018: 1471-1476 - [c12]Eva Tuba, Ivana Strumberger, Ira Tuba, Nebojsa Bacanin, Milan Tuba:
Water Cycle Algorithm for Solving Continuous P-Median Problem. SACI 2018: 351-354 - [c11]Eva Tuba, Ivana Strumberger, Nebojsa Bacanin, Milan Tuba:
Bare Bones Fireworks Algorithm for Capacitated p-Median Problem. ICSI (1) 2018: 283-291 - 2017
- [j2]Slavisa Tomic, Marko Beko, Rui Dinis, Milan Tuba, Nebojsa Bacanin:
Bayesian methodology for target tracking using combined RSS and AoA measurements. Phys. Commun. 25: 158-166 (2017) - [c10]Ivana Strumberger, Nebojsa Bacanin, Milan Tuba:
Enhanced firefly algorithm for constrained numerical optimization. CEC 2017: 2120-2127 - [c9]Ivana Strumberger, Nebojsa Bacanin, Milan Tuba:
Hybridized Elephant Herding Optimization Algorithm for Constrained Optimization. HIS 2017: 158-166 - [c8]Slavisa Tomic, Marko Beko, Rui Dinis, Milan Tuba, Nebojsa Bacanin:
MAP Estimator for Target Tracking in Wireless Sensor Networks for Unknown Transmit Power. DoCEIS 2017: 325-334 - [c7]David Vicente, Slavisa Tomic, Marko Beko, Rui Dinis, Milan Tuba, Nebojsa Bacanin:
Kalman filter for target tracking using coupled RSS and AoA measurements. IWCMC 2017: 2004-2008 - 2015
- [c6]Milan Tuba, Nebojsa Bacanin:
Hybridized bat algorithm for multi-objective radio frequency identification (RFID) network planning. CEC 2015: 499-506 - [c5]Nebojsa Bacanin, Milan Tuba:
Fireworks algorithm applied to constrained portfolio optimization problem. CEC 2015: 1242-1249 - [c4]Milan Tuba, Nebojsa Bacanin, Marko Beko:
Multiobjective RFID Network Planning by Artificial Bee Colony Algorithm with Genetic Operators. ICSI (1) 2015: 247-254 - [c3]Nebojsa Bacanin, Milan Tuba, Ivana Strumberger:
RFID Network Planning by ABC Algorithm Hybridized with Heuristic for Initial Number and Locations of Readers. UKSim 2015: 39-44 - [p1]Milan Tuba, Adis Alihodzic, Nebojsa Bacanin:
Cuckoo Search and Bat Algorithm Applied to Training Feed-Forward Neural Networks. Recent Advances in Swarm Intelligence and Evolutionary Computation 2015: 139-162 - 2014
- [j1]Milan Tuba, Nebojsa Bacanin:
Improved seeker optimization algorithm hybridized with firefly algorithm for constrained optimization problems. Neurocomputing 143: 197-207 (2014) - [c2]Milan Tuba, Nebojsa Bacanin:
JPEG quantization tables selection by the firefly algorithm. ICMCS 2014: 153-158 - [c1]Milan Tuba, Nebojsa Bacanin:
Upgraded Firefly Algorithm for Portfolio Optimization Problem. UKSim 2014: 113-118
Coauthor Index
[j74] [j66] [j44] [j42] [j41] [j40] [j38] [c54] [j30] [j28] [j25] [j24] [c47] [c46] [c45] [c44] [j11] [c42] [c39] [c37] [j6] [j5] [c36] [c35] [c34] [c33] [j4] [j3] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c12] [c11] [c10] [c9] [c3]
[j78] [j75] [j74] [j73] [j71] [j67] [j66] [j64] [j63] [j62] [j61] [j59] [j58] [j56] [j55] [j49] [j48] [j44] [j42] [j41] [j40] [j38] [j37] [j36] [j35] [j34] [c54] [c50] [j31] [j30] [j29] [j28] [j26] [j24] [j21] [j18] [j16] [j15] [j14] [c47] [c46] [c44] [j11] [j9] [c42] [c40] [c37] [j5] [c35] [c34] [c28] [c26]
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