New Approaches for Multidimensional Signal Processing

Prof. Roumen Kountchev received his M.Sc. and D. Sc. at the Technical University of Sofia, Bulgaria, and his Ph.D. at LEIS, St. Petersburg, Russia. His scientific areas of interest are digital signal and image processing, image compression, multimedia watermarking, video communications, pattern recognition and neural networks. He has 348 papers published in magazines and conference proceedings, 30 books, 43 book chapters and 19 patents (4 international). He had been Principle Investigator of 38 research projects. He is Member of Euro Mediterranean Academy of Arts and Sciences (EMAAS) and President of Bulgarian Association for Pattern Recognition (Member of IAPR); Editorial Board Member of IJBST Journal Group; Member of International Research Institute for Economics and Management (IRIEM), Member of Institute of Data Science and Artificial Intelligence (IDSAI), Member of the Honorable Editorial Board of the nonprofit peer-reviewed open access IJBST Journal Group; Editorial Board Member of Intern. Journal of Reasoning-based Intelligent Systems; Intern. Journal Broad Research in Artificial Intelligence and Neuroscience; KES Focus Group on Intelligent Decision Technologies; Egyptian Computer Science Journal; Intern. Journal of Bio-Medical Informatics and e-Health; and Intern. Journal Intelligent Decision Technologies. He is Editor of books in Springer SIST series.Prof. Rumen Mironov received his M.Sc. and Ph.D. in Telecommunications from Technical University of Sofia and M.Sc. in Applied Mathematics and Informatics from Faculty of Applied Mathematics and Informatics. He is currently Head of the Department of Radio Communications and Video Technologies at Technical University of Sofia, Bulgaria. His current research focuses on digital signal and image processing, pattern recognition, audio and video communications, information systems, computer graphics and programming languages. He is Member of Bulgarian Association of Pattern Recognition (IAPR) and of Bulgarian Union of Automation and Automation Systems. He is also Editorial Board Member of IJBST Journal Group. He is Author of more than 70 scientific publications and is Co-editor of books published in Springer SIST series. Dr. Kazumi Nakamatsu received the Ms. Eng. and Dr. Sci. from Shizuoka University and Kyushu University, Japan, respectively. 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 Author of over 150 papers and 20 book chapters and 10 edited books published by prominent publishers.He has served as Editor-in-Chief of the International Journal of Reasoning-based Intelligent Systems (IJRIS) and is now Founding Editor of IJRIS and Editorial Board Member of many international journals. He has contributed numerous invited lectures at international workshops, conferences and academic organizations and is ACM Member.

• Part I: Multidimensional Signal Processing.- Multidimensional Signal Processing and its Applications.- Video Tracing of Moving Objects by Fusing Three-Term Decompositions.- Deep Learning Approaches for Classroom Audio Classification using Mel Spectrograms.- Tensor Spectral Pyramid for Color Video Sequences Representation, Based on 3D FO-AHKLT.- Electromyography Signal Acquisition, Processing, Optimization and its Applications.- Research on the Radar Signal Classification Method Based on the Deep Faith Network Model.- Measuring Machine Intelligence Using Black-Box-Based Universal Intelligence Metrics.- Part II: Applications of Multidimensional Signal Processing.- COVID Detection using ECG image reports: A survey.- Disease detection techniques in plants: transition from manual to automation.- Segmentation of Medical Images.- Development of IoT Indoor Monitoring System for Independent Elderly.- Improving the Process of Evaluating User Stories using the Paraconsistent Annotated EvidentialLogic Eτ.- Neural network algorithm applied in electrical engineering automation.- Truss Structure Optimization Design based on FE-PSO-SQP Algorithm.- Practice System of Ant Colony Optimization Algorithm in Business Administration.- Part III: Applications of Blockchain and Network Technologies.- Literature Review of Smart Contracts Using Blockchain Technology.- A comprehensive study of 5th generation scheduling algorithms.- A Comparative Analysis of Homogeneous and Heterogeneous Protocols to Maximize the Lifetime of Wireless Sensor Network for Precision Agriculture.- The Integration Development and Upgrading Path of Industry 4.0 Architecture Industrial Engineering Network Driven by Big Data.- AAS Application Prospect Analysis in Hrm and Methods to Upgrade the Contemporary System.- All Digital Phase Locked Loop and Its Blocks - A Comprehensive Knowledge.- On Realization of Smart Logistic Warehouse Management with Internet of Things.- Development and Design of Intelligent Traction Systemfor Bulk Cargo Terminal.