Recent Trends of AI Technologies and Virtual Reality

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.

• Erscheinungsdatum: 29.07.2025
• Autor/Autorin: Kazumi Nakamatsu
• Reihe: Smart Innovation, Systems and Technologies
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 40.9 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 400 Seiten
• ISBN: 9789819611546
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.