This book presents selected papers from the 20th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, in conjunction with the 19th ISME 2024, held on October 4 6, 2024, in Matsue, Japan. It is divided into two volumes and discusses latest research outcomes in the field of information technology (IT) including but not limited to information hiding, multimedia signal processing, big data, data mining, bioinformatics, database, industrial and internet of things, and their applications.

Autorentext

Prof. Jeng-Shyang Pan received a B.S. degree in electronic engineering from the National Taiwan University of Science and Technology in 1986, an M.S. degree in communication engineering from the National Chiao Tung University, Taiwan, in 1988, and a Ph.D. degree in electrical engineering from the University of Edinburgh, UK, in 1996. He is currently a Professor at Nanjing University of Information Science and Technology, China. He is an IET Fellow in the UK and has been the Vice Chair of the IEEE Tainan Section and Tainan Chapter Chair of the IEEE Signal Processing Society. He has published more than 500 journal papers, 200 conference papers, 35 book chapters, and 22 books. His current research interests include information hiding, artificial intelligence and wireless sensor networks.

Prof. Junzo Watada is currently a specially appointed professor, Shimonoseki City University, Yamaguchi, Japan and a professor emeritus, Waseda University, Tokyo, Japan. Dr. Watada received his B.Sc. and M.Sc. degrees in electrical engineering from Osaka City University, Osaka (now Osaka Metropolitan University), Japan, and obtained his Ph.D. from Osaka Prefecture University (now Osaka Metropolitan University), Sakai, Japan. Until March 2016, he served as a Professor of management engineering, knowledge engineering, and soft computing at the Graduate School of Information, Production, and Systems, Faculty of Engineering and Sciences, Waseda University, Kitakyushu, Japan. Currently, he holds the position of specially appointed professor at the School of Data Sciences, Shimonoseki City University, Yamaguchi, Japan. Dr. Watada has been granted the title of Professor Emeritus at Waseda University since his retirement in 2016. His research interests encompass big data analytics, soft computing, tracking systems, knowledge engineering, and management engineering. Professor Watada is a Life Senior Member of the IEEE. He is also a Life Fellow of both the Japan Society for Fuzzy Theory and Intelligent Informatics and the Bio-Medical Fuzzy System Association. In recognition of his contributions, he received the Henri Coanda Medal Award from Inventico, Romania, in 2002 and the GH Asachi Medal from Universitatea Tehnica GH Asachi, IASI, Romania, in 2006.

GEORGE A. TSIHRINTZIS received the Diploma of Electrical Engineering from the National Technical University of Athens, Greece (with honors) and the M.Sc. and Ph.D. degrees in Electrical and Computer Engineering from Northeastern University, Boston, Massachusetts, USA. He is currently a Professor in The University of Piraeus, Greece and, during 2016-2020, he served as Head of its Department of Informatics. From 2008 to 2022, he served as the Director of the Graduate Program of Study in Advanced Computing and Informatics Systems of the Department. During the period 2016-2020, he was a member of the first Administration Council of the University of Piraeus. Currently, he is serving again as a Member of the Administration Council of the University of Piraeus for a four-year term (2022-2026). His current research interests include Artificial and Computational Intelligence, Machine Learning, Pattern Recognition, Decision Theory, and Statistical Signal Processing and their applications in Internet-of-Things Technologies, Multimedia Interactive Services, User Modeling, Knowledge-based Software Systems, Human-Computer Interaction, and Information Retrieval. He has authored or co-authored over 350 research publications in these areas, which have appeared in international journals, book chapters, and conference proceedings. He has served as the principal investigator or co-investigator in several R&D projects. Since 2018, he has been the edito

Inhalt

DustGAN Unpaired Learning for Dust Image Simulation Based on ASM with GANs.- Benchmarking Single Image Dedusting.- Deep Learning Application for Egg Quality Detection in Ephestia kuehniella.- Efficient Architecture Search for Super-Resolution Residual Dense Networks via Heuristic Optimization.- Discriminate the Authenticity of High Resolution Videos Based on Deep Learning.- Fitness distance balance based Tumbleweed Algorithm.