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2025	An improved U-net and attention mechanism-based model for sugar beet and weed segmentation Frontiers in Plant Science Yadong Li, Ruinan Guo, Rujia Li, Rongbiao Ji, Mengyao Wu, Dinghao Chen, Cong Han, Ruilin Han, Yongxiu Liu, Yuwen Ruan, Jianping Yang
2025	Soft Computing-Based Adaptive Energy Replenishment Via Mobile Charging in Wireless Sensor Networks with Fuzzy Logic and Genetic Algorithms SN Computer Science Chatchai Punriboon, Nutthanon Leelathakul, Phet Aimtongkham, Pakarat Musikawan, Chakchai So-In
2025	Brain tumor segmentation using optimized depth wise separable convolutional neural network with dense U-Net Knowledge-Based Systems K.G. Revathi, C.P. Shirley, S. Sreethar, Ezhilarasi P
2025	Advancing skeleton-based human behavior recognition: multi-stream fusion spatiotemporal graph convolutional networks Complex & Intelligent Systems Fenglin Liu, Chenyu Wang, Zhiqiang Tian, Shaoyi Du, Wei Zeng
2025	Communications in Computer and Information Science Branislav Radomirovic, Luka Jovanovic, Nebojsa Budimirovic, Miodrag Zivkovic, Nebojsa Bacanin, Milos Dobrojevic
2025	A dynamic model using k-NN algorithm for predicting diabetes and breast cancer Computers in Biology and Medicine Hussein A.A. Al-Khamees, Nor Samsiah Sani, Ahmed Sileh Gifal, Luan Xiang Wei Liu, Mohd Isrul Esa
2025	Enhancing software defect prediction with a hybrid convolutional neural network and antlion optimization model Cluster Computing Alia Nabil Mahmoud, Vitor Santos, Mario M. Freire, Ahmed Abdelaziz
2025	Hybrid voting-GA ensemble learning for multi-class fault detection in digital twin-driven IIoT systems Computing Ezz El-Din Hemdan, Samar M. Zayed, Gamal Attiya, Ayman El-Sayed, Amged Sayed
2025	An efficient network with CNN and transformer blocks for glioma grading and brain tumor classification from MRIs Expert Systems with Applications Evgin Goceri
2025	A quantum-optimized approach for breast cancer detection using SqueezeNet-SVM Scientific Reports Anas Bilal, Ali Alkhathlan, Faris A. Kateb, Alishba Tahir, Muhammad Shafiq, Haixia Long
2025	Optimizing feature selection in imbalanced intrusion detection system using hybrid metaheuristics algorithms for wireless sensor networks Cluster Computing Kunda Suresh Babu, Krosuri Lakshmi Revathi, Nirmala Jyothi Narisetty, Chandrika Dadhirao
2025	Optimizing XGBoost hyperparameters using the dragonfly algorithm for enhanced cyber attack detection in the internet of healthcare things (IoHT) Cluster Computing Surbhi, Nupa Ram Chauhan, Neeraj Dahiya
2025	Enhanced Grey Wolf Optimization (EGWO) and random forest based mechanism for intrusion detection in IoT networks Scientific Reports Saad Said Alqahtany, Asadullah Shaikh, Ali Alqazzaz
2025	Heterogeneous graph neural networks with post-hoc explanations for multi-modal and explainable land use inference Information Fusion Xuehao Zhai, Junqi Jiang, Adam Dejl, Antonio Rago, Fangce Guo, Francesca Toni, Aruna Sivakumar
2025	Harnessing Automation and Machine Learning for Resource Recovery and Value Creation Ana Tasic, Luka Jovanovic, Miroslav Popovic, Nebojsa Bacanin, Miodrag Zivkovic, Milos Dobrojevic
2025	Summarization, Prediction, and Analysis of Turkish Constitutional Court Decisions With Explainable Artificial Intelligence and a Hybrid Natural Language Processing Method IEEE Access Tülay Turan, Ecır Uğur Küçüksılle
2025	Communications in Computer and Information Science Saramma John Villoth, John Philipose Villoth, Luka Jovanovic, Joseph Mani, Miodrag Zivkovic, Tamara Zivkovic, Nebojsa Bacanin, Milos Antonijevic, Marina Milovanovic
2024	Designing a heuristic computing structure to solve the human balancing model Journal of King Saud University - Computer and Information Sciences Najah AbuAli, Zulqurnain Sabir
2024	Hybrid bagging and boosting with SHAP based feature selection for enhanced predictive modeling in intrusion detection systems Scientific Reports Usman Ahmed, Zheng Jiangbin, Ahmad Almogren, Muhammad Sadiq, Ateeq Ur Rehman, M. T. Sadiq, Jaeyoung Choi
2024	Decomposition aided attention-based recurrent neural networks for multistep ahead time-series forecasting of renewable power generation PeerJ Computer Science Robertas Damaševičius, Luka Jovanovic, Aleksandar Petrovic, Miodrag Zivkovic, Nebojsa Bacanin, Dejan Jovanovic, Milos Antonijevic
2024	IoT-Based Intrusion Detection System Using New Hybrid Deep Learning Algorithm Electronics Sami Yaras, Murat Dener
2024	Personalized behavior modeling network for human mobility prediction Journal of Ambient Intelligence and Humanized Computing Xiangping Wu, Zheng Zhang, Wangjun Wan, Shuaiwei Yao
2024	As good as it gets? A new approach to estimating possible prediction performance PLOS ONE David Anderson, Margret Bjarnadottir
2024	Developing a Hybrid Approach with Whale Optimization and Deep Convolutional Neural Networks for Enhancing Security in Smart Home Environments’ Sustainability Through IoT Devices Sustainability Kavitha Ramaswami Jothi, Balamurugan Vaithiyanathan
2024	Solar energy prediction in IoT system based optimized complex-valued spatio-temporal graph convolutional neural network Knowledge-Based Systems Atul B. Kathole, Devyani Jadhav, Kapil Netaji Vhatkar, Swapnaja Amol, Nisarg Gandhewar
2024	AI-Based Approaches for the Diagnosis of Mpox: Challenges and Future Prospects Archives of Computational Methods in Engineering Sohaib Asif, Ming Zhao, Yangfan Li, Fengxiao Tang, Saif Ur Rehman Khan, Yusen Zhu
2024	Lecture Notes in Networks and Systems Igor Markovic, Jovana Krzanovic, Luka Jovanovic, Ana Toskovic, Nebojsa Bacanin, Aleksandar Petrovic, Miodrag Zivkovic
2024	Optimizing VGG16 deep learning model with enhanced hunger games search for logo classification Scientific Reports Mohammed Hussain, Thaer Thaher, Mohamed Basel Almourad, Majdi Mafarja
2024	Lecture Notes in Networks and Systems Nebojsa Bacanin, Luka Jovanovic, Ana Toskovic, Miodrag Zivkovic, Aleksandar Petrovic, Milos Antonijevic
2024	Data-centric automated approach to predict autism spectrum disorder based on selective features and explainable artificial intelligence Frontiers in Computational Neuroscience Asma Aldrees, Stephen Ojo, James Wanliss, Muhammad Umer, Muhammad Attique Khan, Bayan Alabdullah, Shtwai Alsubai, Nisreen Innab
2024	Deep matrix factorization via feature subspace transfer for recommendation system Complex & Intelligent Systems Weichen Wang, Jing Wang
2024	2024 5th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI) Nebojsa Bacanin, Aleksandar Petrovic, Luka Jovanovic, Miodrag Zivkovic, Tamara Zivkovic, Marko Sarac
2024	An efficient intrusion detection system for IoT security using CNN decision forest PeerJ Computer Science Kamal Bella, Azidine Guezzaz, Said Benkirane, Mourade Azrour, Yasser Fouad, Mbadiwe S. Benyeogor, Nisreen Innab
2024	The explainable potential of coupling hybridized metaheuristics, XGBoost, and SHAP in revealing toluene behavior in the atmosphere Science of The Total Environment Nebojsa Bacanin, Mirjana Perisic, Gordana Jovanovic, Robertas Damaševičius, Svetlana Stanisic, Vladimir Simic, Miodrag Zivkovic, Andreja Stojic
2024	Ethics and responsible AI deployment Frontiers in Artificial Intelligence Petar Radanliev, Omar Santos, Alistair Brandon-Jones, Adam Joinson
2024	Genetic Artificial Hummingbird Algorithm‐Support Vector Machine for Timely Power Theft Detection The Scientific World Journal Emmanuel Gbafore, Davies Rene Segera, Cosmas Raymond Mutugi Kiruki
2024	Lecture Notes in Networks and Systems Miodrag Zivkovic, Nebojsa Bacanin, Tamara Zivkovic, Luka Jovanovic, Jelena Kaljevic, Milos Antonijevic
2023	2023 16th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS) Miodrag Zivkovic, Luka Jovanovic, Marijana Pavlov, Nebojsa Bacanin, Milos Dobrojevic, Mohamed Salb
2023	Software defects prediction by metaheuristics tuned extreme gradient boosting and analysis based on Shapley Additive Explanations Applied Soft Computing Tamara Zivkovic, Bosko Nikolic, Vladimir Simic, Dragan Pamucar, Nebojsa Bacanin
2023	Marine Vessel Classification and Multivariate Trajectories Forecasting Using Metaheuristics-Optimized eXtreme Gradient Boosting and Recurrent Neural Networks Applied Sciences Aleksandar Petrovic, Robertas Damaševičius, Luka Jovanovic, Ana Toskovic, Vladimir Simic, Nebojsa Bacanin, Miodrag Zivkovic, Petar Spalević
2023	Cloud computing load prediction by decomposition reinforced attention long short-term memory network optimized by modified particle swarm optimization algorithm Annals of Operations Research Nebojsa Bacanin, Vladimir Simic, Miodrag Zivkovic, Melfi Alrasheedi, Aleksandar Petrovic
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