Proceedings of the 3rd International Conference on Cognitive Based Information Processing and Applications-Volume 1

CIPA 2023, November 2-3, Changzhou, China
2024
ISBN: 978-981-97-1974-7
Verlag: Springer Nature Singapore

Buch, Englisch, 615 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1051 g

Reihe: Lecture Notes on Data Engineering and Communications Technologies

This book contains papers presented at the 3rd International Conference on Cognitive- based Information Processing and Applications (CIPA) in Changzhou, China, from November 2–3, 2023. 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.

Zielgruppe

Research

Autoren/Hrsg.

Jansen, Bernard J.

Ye, Jun

Zhou, Qingyuan

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke

Inhaltsverzeichnis

A Study on the Application of Cloud-based Database Construction in Language Subject.- Deep Learning Algorithms in Predictive Models for Image Optimisation Methods for Civil Engineering Supervision.- Teacher Performance Evaluation (TPE) System Based on Deep Learning Algorithms.- Research on Internet Music Retrieval Technology Based on Neural Network Algorithms.- Art Design of Urban Public Facilities under the Background of Smart City.- Application Research on Preparatory Heat Treatment Process of Marine Large-size Gears.- Equation and Realization of Instruction synthesis Competence Evaluation System(ES) on Account of Back Propagation Neural Network(BPNN).- Exploration of Intelligent Control System of Traditional Chinese Medicine Processing fire Based on Collaborative Filtering Algorithm.- Evaluation and Investigation on the Blur Medical Image Deblurring Algorithm Based on Sports.- Basketball Technical Feature Target Detection System Based on Artificial Intelligence.- Construction of Rehabilitation Training Platform Based on Data Fusion and Neural Network Algorithms.- Exploration on Automatic Recommendation System for Video Background Music Based on Machine Learning.- Evaluation on a Virtual Clothing Design System Based on Web Technology.- Design of Immersive Display System in Virtual Simulation Laboratory.- Development of Higher Mathematical Test Question Bank System Based on Django Framework.- Design of Intelligent Tourism System based on Three-Dimensional Panoramic Roaming Technology.

Über Autor(innen)

Jim Jansen is a principal scientist in the social computing group of the Qatar Computing Research Institute. He is a graduate of West Point and has a Ph.D. in computer science from Texas A&M University. Professor Jansen is the editor-in-chief of the journal, Information Processing & Management (Elsevier), a member of the editorial boards of seven international journals, and former editor-in-chief of the journal, Internet Research (Emerald). He has received several awards and honors, including an ACM Research Award, six application development awards, and a university-level teaching award, along with other writing, publishing, research, teaching, and leadership honors. Dr. Jansen has authored or co-authored 300 or so research publications, with articles appearing in a multi-disciplinary range of journals and conferences. He is an author of the book, Understanding Sponsored Search: A Coverage of the Core Elements of Keyword Advertising (Cambridge University Press).
Qingyuan Zhou received Ph.D. degree from Sichuan University (SCU), Chengdu, in 2014, respectively. Currently, he is a professor at Changzhou Institute of Mechatronic Technology in 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 and 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. at Xidian University. He is a high-level talent of Hainan Province, and he is working at the 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.