Recent Trends of AI Technologies and Virtual Reality (eBook, PDF)

Proceedings of 8th International Conference on Artificial Intelligence and Virtual Reality (AIVR 2024)
Redaktion: Nakamatsu, Kazumi; Patnaik, Srikanta; Kountcheva, Roumiana

• Format: PDF

Produktbeschreibung

This book provides the proceedings of the 8th International Conference on Artificial Intelligence and Virtual Reality (AIVR 2024). The focus is interdisciplinary in nature, and includes research on all aspects of artificial intelligence and virtual reality, from fundamental development to the applied system. It constitutes a great honour and pleasure for us to publish the selected excellent works and recent research trends of scholars and graduate students from the 8th International Conference on Artificial Intelligence and Virtual Reality (AIVR 2024) (Fukuoka, Japan, July 19-21, 2024), hosted and organized by Fukuoka Institute of Technology in conjunction with other four universities and Beijing Huaxia Rongzhi Blockchain Technology Institute. The topics of AIVR 2024 cover system techniques, performance, and implementation; content creation and modelling; cognitive aspects, perception, user behaviour; AI technologies; interactions, interactive and responsive environments; AI/VR applications and case studies. These technologies have the potential to support AI and VR systems in many areas of production, management, business, healthcare, networks, intelligent control, traffic management, logistics, crisis response, human interfaces, etc.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 627
• Erscheinungstermin: 29. Juli 2025
• Englisch
• ISBN-13: 9789819611546
• Artikelnr.: 75027376

Autorenporträt

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. Dr. Roumiana Kountcheva is Vice President of TK Engineering. She got her MSc and PhD at the Technical University of Sofia, Bulgaria, and became 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. R. Kountcheva participated as PI, Co-PI and team member of 47 scientific research projects, from which - 14 international. She is a reviewer of WSEAS conferences and journals, and edited several books for Springer SIST series. Her scientific areas of interest are in 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. 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 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 author of 3 text books 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 also Editor-in-chief of Book Series on "Modeling and Optimization in Science and Technology" published by Springer, Germany; Book Series on Advances in Computer and Electrical Engineering (ACEE) and Book Series on Advances in Medical Technologies and Clinical Practices (AMTCP), published by IGI-Global, USA. He is the Editor of Journal of Information and Communication Convergence Engineering, published by Korean Institute of Information and Communication Convergence Engineering. He is a also Associate Editor of International Journal of Granular Computing, Rough Sets and Intelligent Systems (IJGCRSIS) published by Inderscience Publishing House, England.

Inhaltsangabe

Investigating the Use of Deep Neural Networks for Predicting Perceived Realism in VR Scenes.- PHANTOMATRIX: A Framework for Predicting Physiological Reactions in Virtual Reality with Machine Learning.- PHANTOMATRIX: A Framework for Predicting Physiological Reactions in Virtual Reality with Machine Learning.- Supporting Metaphor Elicitation in Asymmetric Virtual Environments.- Supporting Metaphor Elicitation in Asymmetric Virtual Environments.- A mixed reality graded cueing model to support the activities of daily living.- A mixed reality graded cueing model to support the activities of daily living.- Using Intelligent Augmented Reality to Enhance Social-Emotional Reciprocity Skills for Children with Autism Spectrum Disorder.- Toward context-awareness in mixed reality: supporting spatial reasoning with object detection and ontologies.- Effects of Human Avatar Representation in Virtual Reality on Inter-Brain Connections.- Facial Expression Recognition on VR-Occluded Images for Personalised Self-Attachment Intervention.- Towards a Modular Architecture for eXtended Reality Systems.- Mutashar: Oman's Tailored AI-Powered Tool for Career selection.- Gamified Learning with AI: A Comparative Look at Educational Game Frameworks and the Potential for AI Integration.- An Exploratory Study of Using AI Tools to Analyse Classroom Discourse Data.- Bibliometric Analysis of Generative Artificial Intelligence in Higher Education.- Bibliometric Analysis of Generative Artificial Intelligence in Higher Education.- Quantitative and Qualitative Literature Review of Augmented Reality in Teaching and in Technical Laboratories since 2010.- Smoke Detection for Process Pipeline Gas Leaks.- Smoke Detection for Process Pipeline Gas Leaks.- The Personalized Food Recommendation System Framework for Type 2 Diabetes.- Neural Network-Particle Swarm Optimization Approach for Prediction of Deformation and Parallel Bending Strength of Guadua angustifolia Kunth.- Object Searching and Adaptive Grasping for Household Assisting Robot.- Acceptance Level of Generated AI: Empirical Study in Japan and Malaysia.- Research on E-commerce Recommendation Algorithms Based on Deep Learning.