Multidimensional Signals Processing, AI Methods and Applications

This book contains new research works presented at the Third World Conference on Intelligent and 3D Technologies (WCI3DT2024), organized by IRNet International Academic Communication Center, held in Shanghai, China during May 24-26, 2024. The main topics in this volume cover contemporary parts in the area of 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 Serves as a reference resource for researchers and practitioners in academia and industry Discusses the outcomes of WCI3DT 2024, held in China during May 2024

Autorentext

Dr. Lakhmi C. Jain, Ph.D., Dr. h.c., M.E., B.E. (Hons), Fellow (Engineers Australia), is with the University of Piraeus, Athens, Greece. He was formerly with the University of Technology Sydney, Australia. Professor Jain founded the KES International for providing a professional community the opportunities for publications, knowledge exchange, cooperation, and teaming.

Involving around 5,000 researchers drawn from universities and companies world-wide, KES facilitates international cooperation and generates synergy in teaching and research. KES regularly provides networking opportunities for professional community through one of the largest conferences of its kind in the areas of KES.

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). R. 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 a Honorary Member of the Honorable Editorial Board of the nonprofit peer reviewed open access IJBST Journal Group.

Prof. Wenfeng Wang 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 has received his Bachelor in Engineering from University College of Engineering, Burla (presently VSSUT, Burla) in 1989, MBA from Sambalpur University in 1991 and Ph. D. (Engineering) from Jadavpur University, India in 1999. He has served at University College of Engineering, Burla and Fakir Mohan University and SOA University for more than 30 years. Presently, Prof. Srikanta Patnaik is Director of I.I.M.T., Bhubaneswar, which is an AICTE approved management institute. 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, Springer-Verlag, Kluwer Academic, IOS Press and SPIE. Dr. SrikantaPatnaik is the Editors-in-Chief of International Journal of Information and Communication Technology and International Journal of Computational Vision and Robotics published from Inderscience Publishing House, England and, Editor of Journal of Information and Communication Convegence Engineering and Associate Editor of Journal of Intelligent and Fuzzy Systems (JIFS). He is also Editors-in-Chief of Book Series on "Modeling and Optimization in Science and Technology" published

Inhalt

Performance Optimization and Acceleration of Machine Learning Algorithms in Task Allocation of Mine Maintenance Robots.- Intelligent Design and Evaluation of Aging Adaptable Public Spaces Based on Deep Learning.- Optimization Strategy for Inventory Management Based on Machine Learning.- Application of Deep Learning Algorithms in the Innovation Ecosystem of Electric Power.- Research on the Combination of Building Structural Health Monitoring and Deep Learning Image Processing.- Application of Image Watermarking Technology Based on Deep Learning in Copyright Protection.- Study on Deep Learning-Based Personalized Product Recommendation Model for Autonomous Question and Answer Robot.- Research on Application and Effect Evaluation of Product Innovation Management Based on Deep Learning.- Multi-scale Point Cloud Shape Completion Network Based on Deep Learning.- Research on Improving Neural Machine Translation Based on Deep Learning Technology.- Deep-Thinking Prototypical Network: A Conjecture on the Interaction of Unmanned Vehicles with Human Mind.