[137] Wei Liu, Feng Zhao, Achyut Shankar, Carsten Maple, J Dinesh Peter, Byung-Gyu Kim, Adam Slowik, B.D. Parameshachari, Jianhui Lv, „Explainable AI for Medical Image Analysis in Medical Cyber-Physical Systems: Enhancing Transparency and Trustworthiness of IoMT”, Journal of Biomedical and Health Informatics, doi: 10.1109/JBHI.2023.3336721, (article accepted)

[137] Walaa H. El-Ashmawi, Adam Slowik, Ahmed F. Ali, ” An effective fitness dependent optimizer algorithm for edge server allocation in mobile computing”, Soft Computing, doi: 10.1007/s00500-023-09582-y, (article accepted)

[137], Adam Slowik, Krzysztof Cpalka, Absalom Ezugwu, Ali Wagdy Mohamed, „Swarm Intelligence Algorithms and Their Engineering Applications”, Xin-She Yang monograph, (article accepted)

[137] Jianhui Lv, Adam Slowik, „Deep Learning-Based Human Action Recognition in Physical Education Teaching”, International Journal of Ad Hoc and Ubiquitous Computing, (article submitted)

[137] Xin Wang, J. Dinesh Peter, Adam Slowik, Fan Zhang, Xingsi Xue, „Learning Fuzzy Label-Distribution-Specific Features for Data Processing”, IEEE Transactions on Fuzzy Systems, (article submitted in R1 version)

[137] Nirmal Kumar, Goutam Mandal, Asoke Kumar Bhunia, Ali Akbar Shaikh, Adam Slowik, „A comparison of four tournament based algorithms in solving system of nonlinear equations via Zakharov’s function”, (article under preparation)

[137] Jianhui Lv, Adam Slowik, „Deep Neural Networks for Real-time Medical Communications in 6G Cross-modal Semantic Communication Systems”, International Journal on Intelligent Systems, (article submitted)

[137] Xiaohong Lv, Shalli Rani, S. Manimurugan, Adam Slowik, Yanhong Feng, „Quantum-Inspired Sensitive Data Measurement and Secure Transmission in 5G-Enabled Healthcare Systems”, Tsinghua Science and Technology, (article submitted)

[137] Jianhui Lv, Adam Slowik, „Evolutionary Computation-based Self-Supervised Learning for Image Processing: Big Data-Driven Object Detection Approach”, International Journal of Ad Hoc and Ubiquitous Computing, (article submitted)

[137] Wang, Jianhui Lv, Adam Slowik, „AI-Empowered Consumer Behavior Analysis for Trustworthy Track Recommendation over Musical Dance Electronic Products”, Heliyon, (article submitted)

[137] Jianhui Lv, Wang Xin, Adam Slowik, Kim Byung-Gyn, B.D. Parameshachari, Keqin Li, Gang Fend, „Augmented Intelligence of Things for Priority-Aware Task Offloading in Vehicular Edge Computing”, IEEE Internet of Things Journal, (article after first round of review – revision)

[137] Xin Wang, Byung-Gyu Kim, Carsten Maple, B.D. Parameshachari, Adam Slowik, Kegin Li, Jainhui Lv, „Generative Adversarial Privacy for Multimedia Analytics Across the IoT-Edge Continuum”, IEEE Transactions on Cloud Computing, (article submitted)

[137] Jie Ma, Hong Li, Weifeng Gao, Jin Xie, Adam Slowik, „An ensemble learning algorithm based on multimodal differential evolution and extreme learning machine”, Soft Computing, (article submitted)

[137] Ali Wagdy, Adam Slowik, „VoI based Situation-Aware Routing Protocol for Non-linear Underwater Communication Network”, IEEE Internet of Things Journal, (article submitted)

[137] Heming Jia, Adam Slowik, „Dynamic Relaxation-based Two-populations Evolutionary Algorithm for Constrained Multi-objective Optimization”, IEEE Transactions on Evolutionary Computation, (article submitted)

[137] Zhihui Li, Hong Li, Weifeng Gao, Jin Xie, Adam Slowik, „Feature selection in high-dimensional classification via an adaptive multifactor evolutionary algorithm with local search”, (article in preparation)

[137] Ya Su, Yi Liu, Adam Slowik, „Constraint handling techniques in swarm intelligence algorithms for RLV reentry trajectory optimization”, (article in preparation – tylko podziękowanie)

[137] Ya Su, Yi Liu, Adam Slowik, „Onboard generation of reentry trajectory for RLV via regularized  extreme learning machine and marine predator whale optimizer”, (article in preparation – tylko podziękowanie)

[137] Yanhong Feng, Gang Feng, Byung-Gyu Kim, J. Dinesh Peter, Adam Slowik, Jianhui Lv, Bo Yi, Zhi Wang, „5G-based Secure and Reliable Medical Image Processing Mechanism for Large-Scale Heterogeneous Medical Data”, Computers in Human Behavior, (article submitted)

[137] Ali Wagdy, Adam Slowik, „Enhancing Brain Tumor Classification by a Comprehensive Study on Transfer Learning Techniques and Model Efficiency Using MRI Datasets”, (article in preparation)

[137] Adam Slowik, Dorin Moldovan, „Multi-Objective Plum Tree Algorithm and Random Forest for Heating and Cooling Loads Optimization”, Electronics, (article in preparation)

[137] Xiaobing Yu, Adam Slowik, „Multi-Task Evolutionary Algorithm with Deep Reinforcement Learning-assisted Assignment Mechanism for Constrained Multi-objective Optimization Problems”, IEEE Transactions on Evolutionary Computation, (article submitted)

[137] Lidong Zhang, Adam Slowik, „A Comprehensive Review of Transportation and Energy Integration Related to Carbon Emission Reduction Study”, Applied Sciences, (article submitted)

[137] Jie Ma, Hong Li, Weifeng Gao, Jin Xie, Adam Slowik, „An ensemble learning algorithm based on multimodal differential evolution and extreme learning machine„,(article in preparation)

[137] Zhendong Song, Jinda Luo, Menglin Xie, Fei Liu, Byung-Gyu Kim, Adam Slowik, Xingsi Xue, „Deep Bi-directional Adaptive Gating Graph Convolutional Networks for Spatio-Temporal Traffic Forecasting”, Neural Computing and Applications, (article submitted)

[137] Ali Hosseinabadi, Adam Slowik, „Hybrid Gravitational Search Algorithm to Solve the Task Scheduling Problem of Two-Machine Flow Shop”, International Journal of Communication Systems, (article submitted)

[137] Amir, Waiting on the paper with project: „Egde Fog Computing”.

[137] Vijay Kumar, „Multi-Document Summarization using Discrete Grasshopper Optimization Strategy”, (article in preparation)

[137] Vijay Kumar, „Multimodal Image Retrieval System using Deep Semantic Common Embedding Space”, (article in preparation)

[137] Absalom Ezugwu, Adam Slowik, „A Comprehensive Review of Progress in Machine and Deep Learning Techniques for IoT-Enabled Wireless Sensor Devices„, (article in preparation)

[137] Absalom Ezugwu, Olaide N. Oyelade, Apu K. Saha, Laith Abualigah, Adam Slowik, Amir H. Gandomi, „A Deep Learning Based Bio-Inspired Algorithm”, (article in preparation)

[137] Jianhui Lv, Adam Slowik, „Low-Complexity Beamforming Design for Green Near-Field Communications in 6G Ultra-Massive Multiple-Input-Multiple-Output”, IEEE Transactions on Green Communications and Networking, (article submitted)

[137] Jianhui Lv, Adam Slowik, „Emotion Recognition of Images based on Label Enhancement for Consumer Electronics Applications”, IEEE Transactions on Consumer Electronics, (article submitted)

[137] Lv, Adam Slowik, „Large Models for Cooperative Control of Connected and Autonomous Vehicles”, IEEE Transactions on Vehicular Technology, (article submitted)

[137] M B Anand, „IOT-Based External Attacks Aware Secure Healthcare Framework Using Blockchain and SB-RNN-NVS-FU Techniques”, (article in preparation – after corrections)

[137] M B Anand, „A Pharmachain IOT with Internal Attack Classification Framework Using PBFT-MI-RLB-RBF Technique in Healthcare”, (article in preparation – after corrections)

[137] M B Anand, „Side Channel Attacks Aware QRNG-HCA with BFE-MA-DNN-Based Model for Storing DDI Interaction”, (article in preparation – after corrections)

[137] Harendra Kumar, „GWO Based Energy-Efficient Tasks Scheduling Approach for Heterogeneous Distributed Computing System”, Applied Soft Computing, (article submitted)

[137] Lv, Adam Slowik, „Dynamic Neighborhood Topology in Particle Swarm Optimization: A Novel Approach for Enhanced Fractal Cooperative Control in Multi-Agent Systems”, IEEE Systems Journal, (article submitted)

[137] Lv, Adam Slowik, Lyu, „Explaining Sentiments: Improving Explainability in Sentiment Analysis Using Local Interpretable Model-Agnostic Explanations and Counterfactual Explanations”, IEEE Transactions on Computational Social Systems, (article submitted)

[137] Lv, Adam Slowik, „XDTEncoder: A Deep Explainable Arrhythmia Classification Framework for Smart Healthcare”, Transactions on Multimedia Computing Communications and Applications, (article submitted)

[137] Feng Zhao, Wei Liu, Achyut Shankar, Carsten Maple, Dinesh Peter, Adam Slowik, B.D. Parameshachari, Jianhui Lv, „XAI Driven Intelligent IoMT Secure Data Management Framework”, Information Fusion, (article submitted)

[137] Zhanshan Li, Adam Slowik, Yu Xue, Xinkai Yang, „Binary fire hawk optimizer combined with random selective operator for feature selection”, Neural Computing and Applications, (article submitted)

[137] Lijun Ji, Zhuo Zhang, Dinesh Peter, Adam Slowik, Jianhui Lv, Cong Wang, Lu Zheng, „Artificial Intelligence Enables Smart Agriculture: A Deterministic Agricultural Insurance Mechanism for Large-scale Planting”, Big Data Research, (article submitted)

[137] Wanjin Dong, Soonbae Kim, Adam Slowik, Jianhui Lv, „Integrating Human-Computer Interaction and Ecofeminism Interpretations of Deleuzes „Becoming-Woman„ in Contemporary Literature and the Context of AI Advancements: An Interdisciplinary Dialogue”, Journal of Multimedia Information System, (article submitted)

[136] Jianhui Lv, Adam Slowik, „Metaverse-Driven Instrumental Music Teaching: A Human-Computer Interactive Perception Method”, International Journal of Human-Computer Studies, (article submitted)

[136] Jianhui Lv, Adam Slowik, „ML-Driven Energy-Efficient Large-Scale Heterogeneous Music-Traffic Data Analysis”, Transactions on Emerging Telecommunications Technologies, (article submitted)

[136] Xiaoping Zhao, Liwen Jiang, Ferrante Neri, Adam Slowik, Zhenman Zhang, Yu Xue, „Evolving the Blocks by Segmentation for Neural Architecture Search”, Neural Computing and Applications, (article under review)

[136] Balvender Singh, Adam Slowik, Sandeep Dhundhara, „Applications of Lithium-Ion Batteries for Microgrid System and AI Techniques for Battery Management System”, Energies, (article submitted)

[136] Wei Liu, Feng Zhao, Byung-Gyu Kim, Adam Slowik, Jianhui Lv, „A Collaborative Analysis of Medical Image Integrated XAI and Blockchain”, Human-centric Computing and Information Sciences, (article submitted)

[136] Jianhui Lv, Adam Slowik, „GA-based Feature Selection Method for Oversized Data Analysis in Digital Economy”, Expert Systems, (article submitted)

[136] Jianhui Lv, „Research and Processing of Future Building Information Oriented to Circular Economy”, (article in preparation)

[136] Xiaobing Yu, Adam Slowik, Xue Yu, Mingyuan Li, Bingbing Fu, Xuming Wang, „A Modified Whale Optimization Algorithm with Multi-Strategy Mechanism for global optimization problems”, Neural Computing and Applications, (article under review)

[137] Narinder Singh, Essam H. Houssein,  Ganeshsree Selvachandran, Adam Slowik, „An Enhanced Coot Optimizer for Multi-disciplinary Optimization Applications”, International Transactions in Operational Research, (article submitted)

[137] Jianhui Lv, Yuanyuan Yang, Raveena Judie Dolly, Samaneh Soradi-Zeid, Adam Slowik, „ML-Driven Energy-Efficient Large-Scale Heterogeneous Music-Traffic Data Analysis”, Sustainable Computing: Informatics and Systems , (article submitted)

 [137] Balvinder Singh, Adam Slowik, Shree Krishna Bishnoi, „Nature-inspired optimization techniques and their applications for automatic generation control”, Energies, Vol. ??, Article ID: ??, 2022, doi: ??, Impact Factor in 2020: 3.252, (article under preparation)

[138] Adam Slowik, Dorin Moldovan, „Nature-inspired Population-based Intelligent Optimization Methods and Their Applications to Energy Problems”, Energies, Vol. ??, Article ID: ??, 2022, doi: ??, Impact Factor in 2020: 3.252, (article under preparation)

[138] Yu Xue, Ziming Yuan, Adam Slowik, ” Improving Health through Efficient Sleep Stage Classification Using CNN Generated by Neural Architecture Search„, Expert Systems with Applications, Impact Factor in 2020: 6.954, (article in preparation)

[141] Aboul Ella Hassanien, Abdelkrim Haqiq, Ahmad Taher Azar, K.C. Santosh, Akhil Jabbar Meerja, Adam Slowik, Parthasarathy Subashin, „Proceedings of  The 3rd International Conference on Artificial Intelligence and Computer Vision (AICV2023) March 05–07, 2023”, Springer, Marrakesh, Morocco, 2023, 

„Proceedings of ….”, http://egyptscience.net/AICV2023/

[143] Amir G., „Forage Optimized CNN for Real-time License Plate Recognition”, Neurocomputing, (article submitted)

[144] Yu Xue, Yi Xia, Adam Slowik, „A Literature Survey of Generative Adversarial Networks”, Soft Computing, (article in preparation)

[145] Yu Xue, „Neural Architecture Search Based on Evolutionary Information and Node Weight Inheritance”, IEEE Transactions on Systems, Man and Cybernetics: Systems, (article submitted)

[145] Balvender Singh, Adam Slowik, S. K. Bishnoi, Mandeep Sharma, „Frequency Regulation of Two-Area Micro Grid System using Nature-Inspired Techniques Based Novel Fuzzy Controller and Electric Vehicles Support”, Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, (article submitted)

[147] Walaa H. El-Ashmawi, Adam Slowik, Ahmed F. Ali, ” A modified manta ray foraging algorithm for edge server placement in mobile edge computing”, (article in preparation)

[148] Seyedeh Maedeh Mirmohseni, Amir Javadpour, Pedro Pinto, Adam Slowik, Forough Jafari, „Reviewing the most effective methods for Load Balancing Task Scheduling and Resource Management in the Cloud Computing: A Survey”, Discover Internet of Things, (article submitted)

[140] Neelanjan, „Deep Self-Organizing Map Neural Networks Improves the Segmentation for Inadequate Plantar Pressure Imaging Data Set”, Biocybernetics and Biomedical Engineering, (article submitted)

[133] Krishna Kant Singh, Akansha Singh, Adam Slowik (Eds.), „Machine Learning and the Internet of Medical Things in Healthcare”, Academic Press, 2022, (proposal submitted)

[134] Tarek, „FACENET: An Improved Deep Learning Model for Face Recognition System”, Expert Systems, (article submitted)

[135] Tarek, „Meta-Heuristic Optimization Through Deep Learning Classifiers for Covid-19 Chest X-ray Patient”, (article in preparation)

[136] Yu Xue, Xu Cai, Weiwei Jia, Adam Slowik, „Multi-objective Self-adaptive Particle Swarm Optimization for Large-scale Feature Selection in Classification”, Cluster Computing, (article submitted)

[137] Yu Xue, Chen Chen, Adam Slowik, „Neural Architecture Search Based on Directed Acyclic Graph”, Neurocomputing, (article in preparation)

[136] Poria Pirozmand, Adam Slowik, Parisa Pirouzmand, Yingqiu Li, „Application of Image Processing and Segmentation Techniques for Tumor Detection in MRI Images”, (article in preparation)

[137] Balvinder Singh, Adam Slowik, Shree Krishna Bishnoi, „Nature-inspired optimization techniques and their applications for automatic generation control”, Energies, (REVIEW paper, article in preparation)

[137] Ali Asghar, Adam Slowik, „A Feature Selection Approach for Spam Detection in Social Networks Using Gravitational Force-Based Heuristic Algorithm”, (article under preparation)

[137] Poria Pirozmand, S.S.Mirkamali, Adam Slowik, Hybrid Gravitational Search Algorithm to Solve the Task Scheduling Problem in A Two-Machine Flow Shop, Soft Computing. (article under review)

[134] Jatin Arora, Adam Slowik, Chirag Asija, Rahul Singh, Deepak Gupta, Ali Kashif Bashir, Jalil Piran, „Hybrid Firefly Particle Swarm Optimization Algorithm for Feature Selection Problems”, NCAA, (article in preparation)

[135] Akansha Singh, Xiaochun Cheng, Krishna Kant Singh, Adam Slowik, „Integration of Federated Learning and Blockchain for Internet of Things: Recent Advances and Future Challenges”,  Springer, (proposal submitted)

[119] Sally M. Elghamrawy, Adam Slowik, Aboul Ella Hassanien, „An Artificial Intelligence-Inspired Model for Early Diagnosis of Coronavirus (COVID-19) Disease”, IEEE Access, (article in preparation)

[121] Sally M. Elghamrawy, Adam Slowik, Aboul Ella Hassanien, „A Hybrid Genetic-Grey Wolf Optimization Algorithm for Optimizing Takagi-Sugeno-Kang Fuzzy Systems”, IEEE Access, (article in preparation)

[124] Behzad Saemi, Ali Asghar Rahmani Hosseinabadi, Mehdi Sadeghilalimi, Adam Slowik, „Providing a New Routing Protocol Based on the Parallelization of the Combination of Global and Local Algorithms as Multi-Objectives in Underwater Wireless Sensor Networks”, Computer Communications, (article in preparation)

[125]Amir Jalalinejad, Hoda Jalalinejad, Ali Asghar Rahmani Hosseinabadi, Mohammad Farokhzad, Mehdi Sadeghilalimi, Adam Slowik, „A New Hybrid Algorithm to Solve the Task Scheduling Problem in A Two-Machine Flow Shop”, Annals of Operations Research, (article in preparation)

[126] Gaurav Dhiman, Mukesh Soni, Hari Mohan Pandey, Adam Slowik, Harsimran Kaur, „A Novel Hybrid Evolutionary Algorithm based on Hypervolume Indicator and Reference Vector Adaptation Strategies for Many-Objective Optimization”,  Engineering with Computers, Volume xx, Issue xx, pp. xx-xx, 2020, doi: 10.1007/s00366-020-00986-0, Impact Factor in 2018: 3.551 (on line first)

[127] Yu Xue, Binping Zhao, Tinghuai Ma, Adam Slowik, „Enhanced Evolutionary Classification Optimization Model and Self-adaptive Fireworks Algorithm for Classification Problems”, (article in preparation)(SC)

[128] Amir H. Gandomi, Adam Slowik, „Link Prediction using Adaptive Local Neighbourhood Range Firefly Optimization Technique„, Electronics, vol. xx, pp. xx-xx, 2020, doi: …, Impact Factor in 2019: 2.412, (article in preparation)

[129] Yu Xue, Pengcheng Jiang, Jiayu Liang, Adam Slowik, „Neural Architecture Search with Genetic Algorithm Based on Graph Structure”, IEEE Computational Intelligence Magazine, (article under preparation) 

[132] Srilatha Pulipati, Somula Ramasubbareddy, Adam Slowik, Gai-Ge Wang, S. Sankar, Amir H. Gandomi, „Adaptive Local Neighbourhood Range Based Firefly Algorithm for Link Prediction”, Electronics, (article under preparation)

[134] Santosh Kumar Das, Adam Slowik (Ed.),”Fuzzy Optimization Techniques in Engineering Applications”, Springer, 2021

[135] Co-Chair of International Conference on Smart Systems and Data Science , 2021, (https://www.icssd.net/) (Abdelkrim)

[134] Yu Xue, Haokai Zhu, Jiayu Liang, Adam Słowik, „Adaptive Crossover Operator Based Multi-objective Binary Genetic Algorithm for Feature Selection in Classification”, Knowledge-Based Systems, (article under preparation)

[84] System szyfrowania danych ze zmiennym kluczem generowanym przy zastosowaniu sztucznych sieci neuronowych (ZNWEiI)

[87] A Hybrid Genetic-Grey Wolf Optimization algorithm for Takagi–Sugeno–Kang Fuzzy Systems Optimization, (article in preparation)(???) – Abo

[88] Fuzzy Integrated Cell Formation and Production Scheduling Problem with Automated Guided Vehicles’ Movements, (article in preparation)(EC) – Arun

[90] A Bio-inspired based Metaheuristic Optimization Approach for Solving Engineering Design Problems, (article in preparation)(EAofAI) – Gaurav

[91] MOEPO: A Multi-objective Approach of Emperor Penguin Optimizer for Constrained Engineering Problems, (article in preparation)(???) – Gaurav

[92] A Novel Nature-inspired Optimization-based Fuzzy-PID Controller for the Nuclear Reactor Power Control, (article in preparation)(IEEE Transactions on Nuclear Science) – Gaurav

[96] An Optimized Mechanism to Improve the Performance Packet Transmission in Jammer Based on Multi-Hop Wireless Network, (article in preparation), (IEEE Transactions on Wireless Communications) – Rizwan

[97] Yu Xue, Yan Zhao, Jiayu Liang, Adam Slowik, ” Structure and Parameter Search for Classification with Feature Selection based on Brain Strom Optimization”, Swarm and Evolutionary Computation (25.02.2020)

[97] Yu Xue, „Multi-objective Self-adaptive Particle SwarmOptimization for Large-scale Feature Selection in Classification”, IEEE Transactions on Industrial Informatics (article in preparation)

[97] Seyed Mostafa Bozorgi, Mehdi Golsorkhtabaramiri, Ali Asghar Rahmani Hosseinabadi, Adam Slowik, „A Novel QoS Clustering for Green IoT Based on Energy Harvesting Wireless Sensor Networks”, IEEE Internet of Things Journal (article in preparation)

[97] Yu Xue, „Particle Swarm Optimization Based on Filter-based Population Initialization Method for Feature Selection in Classification”, (article in preparation), IEEE Transactions on Evolutionary Computation

[89] Adam Słowik, „Control of Trade-off Between Exploration and Exploitation Properties of Genetic Algorithms”, (article in preparation)

[90] Adam Słowik, „Design and Optimization of Polymorphic Combinational Digital Circuits using Modified Cartesian Genetic Programming”, (article in preparation)

[91] Adam Słowik, „Application of Modified Artificial Immune Clonal Selection Algorithm to Design and Optimization of IIR Digital Filters with Non-Standard Characteristics”, (article in preparation)

[92] Adam Słowik, „Proportional Fan Roulette Selection Method for Application in Evolutionary Algorithms”, (article in preparation)

[93] Adam Słowik, „A Comparative Study on Evolutionary Methods in Design and Optimization of Digital Filters with Non-Standard Amplitude Characteristics”, (article in preparation)

[94] Adam Słowik, „Comparative Study on Evolutionary Techniques Used in Optimization of Capacitance Ratio in SC Filter Implementation”, IEEE Transaction on Evolutionary Computation, (article in preparation)

[95] Adam Słowik, „Evolutionary Multi-objective Optimization of Surface Grinding Process Using Pareto e-dominance Technique”, (article in preparation)

[96] Adam Słowik, „Evolutionary Design of Quantum Circuits”, (article in preparation)

[97] Adam Słowik, „Application of Differential Evolution Algorithm for Training of Artificial Neural Networks with Integer Weights” (article in preparation)

[98] Adam Słowik, „Training of Artificial Neural Networks Using Adaptive Differential Evolution Algorithm with Multiple Trial Vectors and Dynamic Population Size”, (article in preparation)

[99] Adam Słowik, „Biological Based Evolutionary Optimization Techniques”, IEEE Transactions on Industrial Informatics, (article in preparation)

[100] Adam Słowik, „Comparison of Nature Based Evolutionary Discrete Optimization Techniques in Digital Filter Design”, IEEE Transaction on Industrial Informatics, (article in preparation)

[101] Adam Słowik, „Application of Iterative Evolutionary Computation Algorithm to Improving the Quality of Color Images”, IEEE Transaction on Industrial Informatics, (article in preparation)

[102] Milos Manic, Honghai Liu, Adam Słowik, Bogdan Wilamowski, „Intelligent Systems – State of the Art”, IEEE Transactions on Industrial Electronics, (article in preparation)

[103] Adam Słowik, „Fuzzy Control of the Trade-Off Between Exploration and Exploitation Properties of Particle Swarm Optimization Algorithm”, (article in preparation)

[104] Milos Manic, Honghai Liu, Adam Słowik, Bogdan Wilamowski, „Intelligent Systems – State of the Art”, IEEE Transactions on Industrial Electronics, (article in preparation)