AI-based Methods and Applications
Description
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.
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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.
Content
Reversed Fusion Architecture Based on Spiking Neural Networks (RFSNN): For Dynamic Image Dataset Recognition.- Design and Implementation of Object Component Segmentation Algorithm Based on Improved PointNet++.- Application of the BERT and TextCNN Fusion Model in Chinese Sentiment Classification.- Legal Risks and Regulatory Paths of Generative Artificial Intelligence for Artificial Intelligence Technology.- Image Generation and Style Transfer Model Based on Generative Adversarial Network.- Accelerated Application of AI Model Lightweight Technology in Edge Computing.- A Comparative Study of Deep Learning and Traditional Shallow Network Machine Learning for Classification and Recognition.- Mixed-Strategy Sparrow Search Algorithm for Robust Optimization.- Deep Learning Multi-target Audience Classification Algorithm in Cultural Communication.- Recognition of Football Specific Ability Training Based on Deep Learning Algorithm.