This book presents the proceedings of the Fifth World Conference on Intelligent and 3D Technologies (WCI3DT 2026). The chapters in the book are arranged into three groups according to their content:
I. Intelligent methods and algorithms.
II. Flexible models.
III. Adaptive control systems.
The book covers significant part of the theoretical approaches in the contemporary intelligent signal processing and analysis, robotics, image analysis and related applications based on AI, virtual and augmented reality, etc., and is focused on various important topics, such as: personalized health intervention strategies; intangible cultural heritage; tensor-based restoration of astronomical images; AI music generation and vocal music teaching; water transport engineering; intelligent teaching platforms; neutron spectrum unfolding network, and many others. This book will be useful for researchers and students who work in all areas of image processing and scientists, involved in the development of new devices and technologies needed by the market.

Presents recent innovative research in the field of intelligent and 3D technologies Serves as a reference resource for researchers and practitioners in academia and industry Discusses the outcomes of WCI3DT 2026, held in Shanghai, China, during May 2026

Autorentext

Roumiana Kountcheva got her M.Sc. and Ph.D. at the Technical University of Sofia, Bulgaria. In 1992 she got the title senior researcher. At present, she is the vice president of TK Engineering, Sofia. She had postgraduate trainings in Fujitsu and Fanuc, Japan. Her main scientific interests are in image processing, image compression, digital watermarking, pattern recognition, image tensor representation, neural networks, CNC and programmable controllers. She has more than 240 publications and 5 patents (EU and USA). R. Kountcheva was the plenary speaker at 34 international scientific conferences and scientific events. She was a co-editor of more than 10 books published in Springer SIST series and of several Special issues for Symmetry MDPI. She is a member of international organizations: Bulgarian Association for Pattern Recognition, International Research Institute for Economics and Management (IRIEM), and the Institute of Data Science and Artificial Intelligence (IDSAI).

Professor Wenfeng Wang is an editor-in-chief of IJANS and IJEEE; EBM of Nature-Scientific Reports; a general chair of the World Conference on Intelligent and 3D Technologies; a reviewer of many SCI journals, including some top ones-Nature Computational Science, Expert System with Applications, Water Research, Science China-Information Sciences, Science of the Total Environment, Environmental Pollution, IEEE Transactions on Automation Science and Engineering, etc.; the plenary/keynote speakers of many international conferences-AMICR2019, IACICE2020, NAMSP2021, NAMSP2024, AMMCS2021, ICCEAI2021, AICS2021, 3DIT-MSP&DL2020, CSAMCS 2021, AMMCS2021, ICPEM2021, ATAMI2021, ICRDET2022, etc.

Prof. Srikanta Patnaik is the director of Interscience Institute of Management and Technology, Bhubaneswar, India. He has received his Ph.D. in 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 the 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 the editor-in-chief of Book Series on "Modeling and Optimization in Science and Technology" published by Springer, Germany.

Inhalt

Dynamic Optimization Method for Personalized Health Intervention Strategies Based on Deep Reinforcement Learning.- Research on Optimization Methods for Digital Expression of Intangible Cultural Heritage Skills Based on Generative AI.- Verification of a High-dimensional Tensor Features Restoration Method for Astronomical Image.- Study on Antarctic Blowing Snow Detection Method Based on Random Forest.- Using Big Data and Machine Learning to Identify Key Characteristics of Topic Selection for High-Traffic Videos on Platform A.- The Analysis Method for the Evolution of Temporal Behavioral States based on Hidden Markov Model.- Research on AI Music Generation Algorithm Combined with Intelligent Computer Algorithm.- Design of Deep Personalized Recommendation Algorithm for Educational Resources Integrating Comparative Learning and Multi-source Information.- Analyzing Knowledge Transfer Barriers in an IoT Programming Course Cluster.- Competitive Gymnastics Action Recognition Model Combined with CNN-BiLSTM and its Application in Personalized Training Plan Generation.- Research on Course Auxiliary System Integrating Deep Learning-Based Dropout Prediction and Course Evaluation Sentiment Analysis.- The Application of Smart Library System in the Innovation of Management and Service Mode in University Libraries.- Construction of an Innovative Approach to Vocal Music Teaching in Higher Education Based on OBE Concept and Fuzzy Control.- SPECTRA-Net: Spectral Prototype Evolutionary Compression and Triple-Refinement Attention Network for Long-term Forecasting.- A Multi-Scale Attentive Approximate Message Passing Network for Neutron Spectrum Unfolding.- SR-EyeScan: An Integrated End-to-End Interpretable AI System for Robust Glaucoma.- Screening in Resource-Constrained Environments.