Advances in Intelligent Data Analysis and Applications: Proceedings of the 8th Euro-China Conference on Intelligent Data Analysis and Applications, December 07-09, 2024, Xiamen, China, Volume 1

by Chien-Ming Chen (Editor), Václav Snásel (Editor), Tien-Wen Sung (Editor), Jeng-Shyang Pan (Editor)

Overview

The book is a collection of high-quality research papers presented at 8th Euro-China Conference on Intelligent Data Analysis and Applications, hosted by Minnan Science and Technology College, China and technically co-sponsored by Nanjing University of Information Science and Technology, China. The book covers areas like intelligent data analysis, computational intelligences, signal processing, and all associated applications of artificial intelligence.

Product Details

ISBN-13:	9789819672738
Publisher:	Springer-Verlag New York, LLC
Publication date:	12/13/2025
Sold by:	Barnes & Noble
Format:	eBook
Pages:	411
File size:	53 MB
Note:	This product may take a few minutes to download.

About the Author

Chien-Ming Chen is currently a professor with the School of Artificial Intelligence, Nanjing University of Information Science and Technology, China. He received his Ph.D. from the Department of Computer Science, National Tsing Hua University, Taiwan, in 2010. He has published about 150 SCI-indexed research articles in refereed journals (including ACM/IMS TDS, IEEE TII, IEEE TDSC, IEEE TPDS, IEEE TIFS, IEEE TITS, IEEE TC, IEEE TMM, IEEE SysJ, IEEE IOTJ, IEEE Networks, ACM TMIS, ACM OSR), 3 edited books, and 17 patents. He is an executive editor/associate editor/editor of many SCI journals (IJCS, S&P, JIFS, JCN, etc.). He is the senior member of IEEE.

Václav Snášel received a master's degree in numerical mathematics from the Faculty of Science, Palacky University, Olomouc, Czech Republic, in 1981, and the Ph.D. degree in algebra and number theory from Masaryk University, Brno, Czech Republic, in 1991. He is currently a full professor and the rector with the VŠB—Technical University of Ostrava,, Czech Republic.

Tien-Wen Sung received his Ph.D. degree in Computer and Communication Engineering from Department of Electrical Engineering at Cheng Kung University, Taiwan, in 2014. He is now a full professor in the College of Computer Science and Mathematics, Fujian University of Technology, China. He is awarded the Taiwanese Outstanding Talents in Fujian Province of China. He is also a member of IEEE, ACM, IAENG, EAI, and China Computer Federation (CCF). As a guest editor, he has edited several special issues of SCI journals. He is now the associate editor of Journal of Network Intelligence and the academic editor of Wireless Communications and Mobile Computing. He has published more than 80 research papers indexed by SCI, SSCI, or EI, including an ESI highly cited paper, and won the Excellent/Best Paper Awards from several conferences.

Jeng-Shyang Pan is the professor and the dean of Artificial Intelligence Research Institute in Nanjing University of Information Science and Technology, China. He also got the part-time work in Shandong University of Science and Technology. He received the B. S. degree in Electronic Engineering from the National Taiwan University of Science and Technology in 1986, the M. S. degree in Communication Engineering from the National Chiao Tung University, Taiwan in 1988, and the Ph.D. degree in Electrical Engineering from the University of Edinburgh, U.K. in 1996. He has published more 500 papers indexed by SCI, the H-Index is 72, and the total cited times are more than 21000. He is the IET Fellow, UK, and has been the vice chair of IEEE Tainan Section. He was Awarded Gold Prize in the International Micro Mechanisms Contest held in Tokyo, Japan in 2010.

Table of Contents

Logistics Management in Power Supply and Utilization Technology System Optimization and Efficiency Improvement.- The application of automation technology in China's tobacco logistics.- Design of inteligent electrical power inspection robot’s target detection system.- Lightweight underwater image enhancement network based on adaptive feature fusion.- Guilded Outlier Removal Via Convolution Self Attention Fusion.- Application of a Lightweight ResNet-CNN Integrated Model in CT Classification of Lung Cancer.- SCFNet Spatial and Channel-wise Feature Enhancement for Two-View Correspondence Learning.- Leveraging AlexNet and Histogram of Oriented Gradients for Alzheimer’s Disease Diagnosis.