Advanced Intelligent Technologies and Sustainable Society (eBook, PDF)

Proceedings of 4th International Conference on Advanced Intelligent Technologies (ICAIT 2023)
Redaktion: Nakamatsu, Kazumi; Kountcheva, Roumiana; Patnaik, Srikanta

• Format: PDF

Produktbeschreibung

This book includes new research results of scholars from the Fourth International Conference on Advanced Intelligent Technologies (ICAIT 2023) organized by IRNet International Academic Communication Center, held during November 3-5, 2023. The book covers research work from active researchers who are working on collaboration of industry and various intelligent technologies such as intelligent technologies applicable/applied to manufacturing and distribution of industrial products, factory automation, business, etc. The topics included are all computational intelligence techniques applicable/applied to industry, intelligent techniques in data science applicable/applied to business and management, intelligent network systems applicable/applied to industrial production, intelligent technologies applicable to smart agriculture, and intelligent information systems for agriculture.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 642
• Erscheinungstermin: 10. August 2024
• Englisch
• ISBN-13: 9789819732104
• Artikelnr.: 71443311

Autorenporträt

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 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 a 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.   Prof. Dr. 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 the area of computational intelligence, soft computing applications, and re-engineering. Dr. Patnaik has published around 100 research papers in international journals and conference proceedings. He is an 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. Roumiana Koutcheva is the vice president of TK Engineering. She got her M.Sc. and Ph.D. at the Technical University of Sofia, Bulgaria, and became a senior researcher (SR) at TIE, in 1993. R. Kountcheva had two post-doc trainings in Japan (Fujitsu, 1977 and Fanuc, 1980). She has more than 200 publications (including 28 book chapters and 5 patents and presented 24 plenary speeches at international conferences and workshops. She is a member of IRIEM, IDSAI, IJBST Journal Group, and Bulgarian Association for Pattern Recognition. She is a reviewer of WSEAS conferences and journals and edited several books for Springer SIST series. Her scientific areas of interest are image processing and analysis, image watermarking and data hiding, multidimensional image representation, tensor representation, pyramidal image decompositions, image and video compression, CNC and programmable controllers, etc.

Inhaltsangabe

Informative Evaluation of Images Captured by Camera Traps Based on Production Rules: Invited Paper.- Slicing and Virtual Reconstruction method in Solid Works Environment.- International Competitive Landscape for Generative Artificial Intelligence Technology Based on Patent Metrics.- A Study on Mobile Robot Path Planning in Constrained Environments Using an Enhanced Rrt Algorithm.- A Machine Learning Approach in Assessing the Fama French Three and Fama French Five Factor Model.- Deep Learning CNN-based Architecture Applied to Intelligent Near-Infrared Analysis of Water Pollution from Agricultural Irrigation Resources.- Research on the application of digital twin model calculation and updating methods in mining engineering.- Research on the factors influencing the horizontal force of body block in the impact test of steering mechanism based on orthogonal test.