This book contains new research works presented at the Fourth World Conference on Intelligent and 3D Technologies (WCI3DT 2025), organized by IRNet International Academic Communication Center, held in Shanghai, China during May 23 25, 2025. The main topics in this volume cover contemporary parts in the multidimensional signal processing, based on deep learning and related applications. Special attention is given to neural networks, which make up the backbone of deep learning algorithms and their improvement, and research works aimed at the real-time interaction with unmanned vehicles, machine translation, cloud computing, personalized product recommendation model for autonomous robots, power production monitoring and control, optimization and acceleration of machine learning algorithms, pattern recognition, building crack detection and many others.

Presents recent innovative research in the field of intelligent and 3-D technologies Discusses the outcomes of WCI3DT 2025, held in China during May 2025 Serves as a reference resource for researchers and practitioners in academia and industry

Autorentext

Dr. Roumiana Kountcheva got her M.Sc. and PhD 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 220 publications and 5 patents (EU and USA). Dr. Kountcheva was the plenary speaker at 23 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), the Institute of Data Science and Artificial Intelligence (IDSAI), and is an Honorary Member of the Honorable Editorial Board of the nonprofit peer reviewed open access IJBST Journal Group.

Prof. Wenfeng Wang is editor-in-chief of IJANS and IJEEE; EBM of Nature - Scientific Reports; General chair of the World Conference on Intelligent and 3D Technologies; 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.; Plenary/Keynote speakers of many international conferences - AMICR2019, IACICE2020, NAMSP2021, AMMCS2021, ICCEAI2021, AICS2021, 3DIT-MSP&DL2020, CSAMCS 2021, AMMCS2021, ICPEM2021, ATAMI2021,  ICRDET2022 and 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 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 textbooks 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 Editor-in-chief of Book Series on “Modeling and Optimization in Science and Technology” published by Springer, Germany.

Inhalt

Research on Autonomous Collision Avoidance and Navigation Strategies for Mobile Robots Based on Point Cloud Library (PCL) and Imitation Learning.- Development and Application Research of Motion Video Analysis Platform in Sports Training.- Construction of A Quadruped Robot Imitation Motion Control System Based on Deep Reinforcement Learning.- Sports Action Teaching Correction System Combined with Intelligent Pose Recognition Technology.- Intelligent Logistics Path Planning and Real-Time Scheduling Optimization Based on Ant Colony Optimization Algorithm.- Application of Deep Learning-Based Dynamic Object Tracking Algorithm in Mobile Robots.- Research on the Robustness of Robot Localization and Tracking in Complex Environments.- Badminton Special Skills Training Based on Action Recognition Technology.- Design and Application of Intelligent Customer Service Robot System Based on Machine Learning.- The Application of Virtual Reality Technology in Sports Skill Training.