Smart Wireless Communications: DL-based Methods and Algorithms

Dr. Roumiana Kountcheva got her M.Sc. and PhD at the Technical University of Sofia, Bulgaria. In 1992 she got the title Senior Researcher. At present, she is the Vice president of TK Engineering, Sofia. She had postgraduate trainings in Fujitsu and Fanuc, Japan. Her main scientific interests are in image processing, image compression, digital watermarking, pattern recognition, image tensor representation, neural networks, CNC and programmable controllers. She has more than 220 publications and 5 patents (EU and USA). Dr. Kountcheva was the plenary speaker at 23 international scientific conferences and scientific events. She was a co-editor of more than 10 books published in Springer SIST series and of several Special issues for Symmetry MDPI. She is a member of international organizations: Bulgarian Association for Pattern Recognition, International Research Institute for Economics and Management (IRIEM), the Institute of Data Science and Artificial Intelligence (IDSAI), and is an Honorary Member of the Honorable Editorial Board of the nonprofit peer reviewed open access IJBST Journal Group.Prof. Kazumi Nakamatsu received the Ms. Eng. and Dr. Sci. from Shizuoka University and Kyushu University, Japan, respectively. He is a full Professor at School of Human Science and Environment, University of Hyogo, Japan. His research interests encompass various kinds of logic and their applications to Computer Science, especially paraconsistent annotated logic programs and their applications. He has developed some paraconsistent annotated logic programs called ALPSN (Annotated Logic Program with Strong Negation), VALPSN (Vector ALPSN), EVALPSN (Extended VALPSN) and bf-EVALPSN (before-after EVALPSN) recently, and applied them to various intelligent systems such as a safety verification-based railway interlocking control system and process order control. He is an author of over 150 papers and 20 book chapters, and 10 edited books published by prominent publishers. Kazumi Nakamatsu has chaired various international conferences, workshops and invited sessions, and he has been a member of numerous international program committees of workshops and conferences in the area of Computer Science. He serves as Founding Editor of the International Journal of Reasoning-based Intelligent Systems (IJRIS) by Inderscience Publisher (UK) and an editorial board member of many international journals. He has contributed numerous invited lectures at international workshops, conferences, and academic organizations. He also is a recipient of some conference and paper awards, etc.Prof. Srikanta Patnaik is the Director of Interscience Institute of Management & Technology, Bhubaneswar, India. He has received his Ph.D. (Engineering) on Computational Intelligence from Jadavpur University, India in 1999 and supervised more than 30 Ph.D. Theses and more than 60 Master theses in Computational Intelligence, Soft Computing Applications and Re-Engineering. Dr. Patnaik has published around 100 research papers in international journals and conference proceedings. He is author of 3 textbooks and more than 80 edited volumes and few invited book chapters, published by leading international publisher like Springer-Verlag, Kluwer Academic, etc. Dr. Patnaik is the Editor-in-Chief of International Journal of Information and Communication Technology and International Journal of Computational Vision and Robotics published by Inderscience Publishing House, England and Editor-in-chief of Book Series on “Modeling and Optimization in Science and Technology” published by Springer, Germany.

• Dual Connectivity User Association in 5G Mobile Asymmetric Multi-RAT Heterogeneous Networks.- Intelligent Scheduling Model for Energy Storage Systems Based on Reinforcement Learning.- Machine Learning Based Collaborative Development Model for Logistics and Finance.- Design and Practice of Financial Reporting Model Based on ChatGPT.- A Study on Climate Change Trend Prediction Combining Machine Learning and Mathematical Modeling.-  Research on a Federated Learning Algorithm Based on Shapley Value Aggregation.- Research on Water Level Control Model of Great Lakes Based on Genetic Algorithm Optimization.