AI Technologies and Virtual Reality

A Model for Predicting Crime Risk.- Early Detection of Red Palm Weevil in Date Palm Trees using Machine Learning Approaches.- Unstructured text classification using NLP and LSTM algorithms.- Regression Based Model for Prediction of Road Traffic Congestion: A Case  Study of Janpath Segment In Bhubaneswar City.- Automated Landmark Detection for AR Based Craniofacial Surgical Assistance System.- The Influence of Eye-Height and Body Posture on Size Perception in Virtual Reality.- The Effect of Distance on Audiovisual Temporal Integration in an Indoor Virtual Environment.- Inside the Black Box: Modeling a Cybersickness Dose Value through Built-In Sensors of Head-Mounted Displays.- Measuring Audio-Visual Latencies in Virtual Reality Systems.- Development of Virtual CNC Turning Application.- Enhancing Elderly Leisure Experience through Innovative VTuber Interaction in VR with ChatGPT.- Assessing the Utility of GAN-Generated 3D Virtual Desert Terrain: A User-Centric Evaluation of Immersion and Realism.- Application of Lightweight Image Super-Resolution Technology in Smart Grid Management System.- Research on Portable Intelligent System Based on Lightweight Super-resolved Image Recognition Algorithm.- Research on Intelligent Fault Identification Method Based on UAV Power Inspection.- Lightweight Real-time Intelligent Inspection System for Digital Transmission Security.- Boosting Video Streaming Efficiency through DQN Machine Learning algorithm-based Resource Allocation.- Locomotion in Response of Static Pedestrians in a Mixed Reality Environment.- Neural Responses to Altered Visual Feedback in Computerized Interfaces Driven by Force or Motion Control.- KP-RNN: A Deep Learning Pipeline for Human Motion Prediction and Synthesis of Performance Art.- A Study on the Integration of BIM and Mixed Reality in Steel-structure Maintenance.- Pathway-based Analysis using SVM-RFE for Gene Selection and Classification.- An AI-Assisted Skincare Routine Recommendation System in XR.-

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 an author of over 180 papers and 30 book chapters and 20 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 has served as the editor-in-chief of the International Journal of Reasoning-based Intelligent Systems(IJRIS); he is now the founding editor of IJRIS 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 numerous research paper awards.Prof. Srikanta Patnaik is now working as the Director of Interscience Institute of Management & Technology, Bhubaneswar, Odisha, India. He has supervised more than 30 Ph. D. Theses and 100 Master theses in the area of Computational Intelligence, Machine Learning, Soft Computing Applications and Re-Engineering. Dr. Patnaik has published more than 100 research papers in international journals and conference proceedings. He is author of 3 text books and edited more than 100 books and few invited book chapters, published by leading international publisher like IEEE, Elsevier,