Frontier Computing: Vol 2 : Theory, Technologies and Applications (FC 2025) (Lecture Notes in Electrical Engineering)

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Frontier Computing: Vol 2 : Theory, Technologies and Applications (FC 2025) (Lecture Notes in Electrical Engineering)

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  • 製本 Hardcover:ハードカバー版
  • 言語 ENG
  • 商品コード 9789819561988

Full 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.

Contents

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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