Frontier Computing : Volume 3

Theory, Technologies and Applications (FC 2025)

Jason C. Hung, Neil Y. Yen, Jia-Wei Chang (Herausgeber)

Buch | Hardcover

2026
Springer Verlag, Singapore
978-981-95-6211-4 (ISBN)

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This book gathers the proceedings of the 15th International Conference on Frontier Computing, held in Osaka, on July 6–10, 2025, and provides comprehensive coverage of the latest advances and trends in information technology, science, and engineering. It addresses a number of broad themes, including communication networks, business intelligence and knowledge management, Web intelligence, and related fields that inspire the development of information technology. The respective contributions cover a wide range of topics: database and data mining, networking and communications, Web and Internet of things, embedded systems, soft computing, social network analysis, security and privacy, optical communication, and ubiquitous/pervasive computing. Many of the papers outline promising future research directions, and the book benefits students, researchers, and professionals alike. Further, it offers a useful reference guide for newcomers to the field.

Dr. Jason C. Hung is a Professor of Department of Computer Science and Information Engineering at National Taichung University of Science and Technology, Taiwan, ROC. His research interests include Multimedia Computing and Networking, e- Learning, Web Service and Anticipatory Computing. Dr. Hung received his BS and MS degrees in Computer Science and Information Engineering from Tamkang University, in 1996 and 1998, respectively. He also received his Ph.D. in Computer Science and Information Engineering from Tamkang University in 2001. He is the founder of International Conference on Frontier Computing. In 2013, He served as Hon Treasurer of IET Taipei LN. In April of 2014, he was elected as Fellow of the Institution of Engineering and Technology (FIET). He was elected as vice chair of IET Taipei LN in Nov. 2014. From June 2015, He is Editor-in-Chief of International Journal of Cognitive Performance Support. Dr. Neil Y. Yen is an Associate Professor at the University of Aizu, Japan. Dr. Yen received doctorates in Human Sciences (major in Human Informatics) at Waseda University, Japan, and in Engineering (major in Computer Science) at Tamkang University, Taiwan in March and June 2012 respectively. His doctor degree at Waseda University was funded by the JSPS (Japan Society for the Promotion of Science) under RONPAKU program. Dr. Yen has actively involved himself in the international activities, including editorial works in journals and books, society services in academic conferences sponsored by IEEE/ACM, etc., and devoted himself to discover advanced and interesting research directions. Dr. Yen has been engaged in the interdisciplinary realms of research, and his research interests are now primarily in the scope of human-centered computing and big data. Dr. Jia-Wei Chang is an Associate Professor in Department of Computer Science and Information Engineering at National Taichung University of Science and Technology. Since January 2019, he is a Young Professionals Chair of the Institution of Engineering and Technology (IET) - Taipei Network. Since 2017, he is a consultant of NEXCOM Industry 4.0 Innovation Center. During February to July 2018, he was an adjunct assistant professor in Department of Engineering Science at National Cheng Kung University. He was a data scientist and project manager at IoT BU, Nexcom during 2016-2017. He received the Ph.D. degree from Department of Engineering Science, National Cheng Kung University in 2017. His research interests include natural language processing, internet of things, artificial intelligence, data mining, and e-learning technologies.

Enhancing Higher-Order Thinking in Linear Algebra: A Review on Graph-Based Personalised Learning Approaches.- Multi-target Tracking in Sports by Integrating DeepSORT Algorithm and YOLOv8.- Research on Consumer Purchase Behavior Classification Model Based on Neural Network.- Research on Fault Diagnosis Algorithm of CNC Machine Tools Based on Neural Network.- Automatic Invoice Classification Based On Image Recognition Technology.- Research on Financial Risk Assessment Model Based On Random Forest Algorithm.- Real-Time Edge AI Video Analysis System Based on Lightweight YOLOv7 Optimization.- Deep Learning for Automatic Scene Recognition in AI-Enhanced Video Content.- Design and Application of Hybrid Carbon Price Prediction Algorithm Based on Data Preprocessing and Intelligent Optimization.- InfluxDB Cluster Elastic Architecture Design and Distributed Scheduling Optimization Model for IoT Large-Scale Time Series Database.

Erscheint lt. Verlag	9.3.2026
Reihe/Serie	Lecture Notes in Electrical Engineering
Zusatzinfo	Approx. 300 p.
Verlagsort	Singapore
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Mathematik / Informatik ► Informatik ► Grafik / Design
	Mathematik / Informatik ► Informatik ► Netzwerke
	Technik ► Elektrotechnik / Energietechnik
	Technik ► Nachrichtentechnik
Schlagworte	Artificial Intelligence • Computer Science • Electronic Engineering • Information Security • internet of things • Management of Information System
ISBN-10	981-95-6211-2 / 9819562112
ISBN-13	978-981-95-6211-4 / 9789819562114
Zustand	Neuware