Frontier Computing : Volume 3 : Theory, Technologies and Applications (FC 2025) (Lecture Notes in Electrical Engineering)

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Frontier Computing : Volume 3 : 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 9789819562114

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

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.

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