Frontier Computing: Volume 2
Theory, Technologies and Applications (FC 2025)
Series: Lecture Notes in Electrical Engineering;
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Product details:
- Publisher Springer Nature Singapore
- Date of Publication 20 March 2026
- ISBN 9789819561988
- Binding Hardback
- No. of pages536 pages
- Size 235x155 mm
- Language English
- Illustrations II, 536 p. 160 illus., 103 illus. in color. 700
Categories
Long description:
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.
MoreTable of Contents:
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Prediction Model of Chronic Disease Management for the Elderly Based On Sensor Data -. Research on Color Recognition Intelligent Handling Robot Based on the SLAM.- Impact of Pre-trained Language Models on Translation Quality.- Adversarial Sample Defense Mechanism for Network Intrusion Detection System Based on Generative Adversarial Network.- Personalized Layout Design of Indoor Space Based on Generative Adversarial Network Algorithm.- Construction of Digital Autonomous Learning Platform Based on Bayesian Network.- Automatic Recognition and Layout of Image Content Based on DenseNet Model.- Efficient Transmission and Intelligent Processing Technology of Distribution Network Fault Data Integrated with GPT.- A Spatialization Method of Film and Television Audio based on Deep Learning.- Cross-Layer Collaborative Optimization Method in Next Generation Communication Networks.
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