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 2

by Shu-Chuan Chu (Editor), Lingping Kong (Editor), Chien-Ming Chen (Editor), Jeng-Shyang Pan (Editor)

Overview

This 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:	9789819672776
Publisher:	Springer-Verlag New York, LLC
Publication date:	11/19/2025
Sold by:	Barnes & Noble
Format:	eBook
Pages:	417
File size:	59 MB
Note:	This product may take a few minutes to download.

About the Author

Shu-Chuan Chu, Ph.D., is professor, and doctoral supervisor. She graduated from National Taiwan University of Science and Technology in 1988 and received a Ph.D. in Faculty of Computer Science, Mathematics, and Engineering from Flinders University, Australia, in 2004. She has 17 years of experience in artificial intelligence research, including intelligent computing, data mining, information hiding, and machine learning. From 2004 to 2013, she worked in the Information Management Department of Cheng Shiu University in Taiwan. During this period, she implemented a total of 8 projects for the National Science Council of Taiwan, including chairing 3 projects and co-hosting 5 projects. From 2009 to 2019, she served as a research fellow and adjunct associate professor in the School of Science and Engineering at Flinders University. 

Lingping Kong received a master's degree and Ph.D. degree in computer applied technology, Harbin institute of technology, Shenzhen, China, in 2013, and 2018. She is currently a senior researcher at VSB-Technical University of Ostrava, Czech Republic. Her research interests include manifold optimization and manifold learning, deep neural network, graph neural network, its applications. 

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. 

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.

Table of Contents

1. Time effect of anxiety stimuli on EEG data discovered by wavelet and data mining analysis.- 2. Implementation of a Fire Detection System Based on YOLOv5.- 3. Research and Analysis of Smart Clothing Based on Citespace.- 4. Current Status and Trends of Research on Sustainable Clothing Materials - A CiteSpace-Based Analysis.- 5. UAV path planning based on Levy flight and dynamic mutation grasshopper optimization.- 6. Generative adversarial networks based on dual-domain fusion for image steganography cost learning.- 7. Robotic arm trajectory optimization using data-driven evolutionary algorithm.- 8. Stock Price Forecasting Based on Gated Recurrent Unit and Nutcracker Optimization Algorithm with Non-Linear Conversion Factor.- 9. An Advanced Willow Catkin Optimization Algorithm for Application of Vehicle Routing Problem with Time Window.