Proceedings of the 4th International Conference on Cognitive Based Information Processing and Applications-Volume 1
Description
This book contains papers presented at the 4th International Conference on Cognitive-based Information Processing and Applications (CIPA) in Changzhou, China, from November 22-23, 2024. The papers represent the various technological advancements in theory, technology, and application of artificial intelligence, including precision mining, intelligent computing, deep learning, and all other theories, models, and technologies related to artificial intelligence. It caters to postgraduate students, researchers, and practitioners specializing and working in the area of cognitive-inspired computing and intelligent computing.
The book represents Volume 1 for this conference proceedings, which consists of a 3-volume book series.
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Persons
Dr. Jim Jansen is a principal scientist of the Qatar Computing Research Institute, leading a research team working on the automatic visualization of user data. He is a graduate of West Point and has a Ph.D. in computer science from Texas A&M University. Professor Jansen is an editor-in-chief of the journal Information Processing and Management and former editor-in-chief of Internet Research. He has received several awards and honors, including an ACM Research Award, six application development awards, a product innovation award, and a university-level teaching award, along with other writing, publishing, research, teaching, and leadership honors. Dr. Jansen has authored or co-authored more than 350 research publications, with articles appearing in a multi-disciplinary range of journals and conferences. He is the co-author of the book Data-Driven Personas (Springer Nature) and the forthcoming book, Understanding Audiences, Customers, and Users via Analytics (Springer Nature).
Qingyuan Zhou received Ph.D. degrees from Sichuan University (SCU), Chengdu, in 2014. Currently, he is a professor and vice president in Changzhou Institute of Mechatronic Technology, China. He has joined and accomplished five national and six provincial research programs. He has also authored/co-authored over 60 papers in international/national journals and conferences including Computers in Human Behavior, Electronic Commerce Research, Intelligent Automation & Soft Computing, etc. His current research interests include electronic commerce, artificial intelligence, and computational economics.
Jun Ye received his B.S. degree in Applied Mathematics at Chongqing University, M.S. degree in Cryptography at Guilin University of Electronic Technology and Ph.D in Xidian University. He is a high level talent of Hainan Province, and he is working at school of Computer Science and Cyberspace Security of Hainan University. His current research interests include computer science and information security. He has authored or co-authored more than 20 high level publications, and he is also a reviewer of many well-known journals. He is one of the high level talents of Hainan Province and got the "First prize" of science and technology progress prize of Hainan Province in 2019.
Content
1. Analysis of Pump Shutdown Water Hammer Algorithm and Protective Measures in Building Fire Water Supply System.- 2. Multi-Dimensional Adjustment Model of the Relationship Between Technology Management and Enterprise Performance Based on Meta-Analysis.- 3. Research on Wearable Device Health Data Analysis and Personalized Training System Based On Artificial Intelligence.- 4. Application and Performance Analysis of Homomorphic Encryption Technology in Sensitive Data Processing of Psychological Assessment Systems.- 5. The Electronic Structure and Catalytic Performance of New Environmentally Friendly Catalyst Materials Based on CASTEP Algorithm.- 6. Financial Recommendation System and Model Analysis Based On K-Nearest Neighbor Algorithm.- 7. Application of PageRank Algorithm in International Economic and Trade Early Warning System.- 8. Research on the Application of IoT-based Smart Energy Management System in Digital Cities.- 9. Design and Implementation of an Automatic Diagnostic System for Oracle Database Performance Issues Based on the AWR Algorithm.- 10. Research on User Sentiment Analysis and Recommendation System Optimization Based On LDA Topic Model.
