Artificial Intelligence for Future Society : Proceedings of the 2nd International Conference on Artificial Intelligence for Future Society (AIFS-2025) (Learning and Analytics in Intelligent Systems)

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Artificial Intelligence for Future Society : Proceedings of the 2nd International Conference on Artificial Intelligence for Future Society (AIFS-2025) (Learning and Analytics in Intelligent Systems)

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  • 製本 Hardcover:ハードカバー版
  • 言語 ENG
  • 商品コード 9783032081940

Full Description

Artificial Intelligence for Future Society: Proceedings of the 2nd International Conference on AIFS-2025 is a collection of cutting-edge research, case studies, and transformative ideas presented by global experts at the forefront of AI innovation. This volume showcases the convergence of intelligence and technology through real-world applications and theoretical advancements that are shaping the future of our society. The proceedings span around five themes: 
•    Digital Diversity
•    Human-Machine Interaction
•    Social Impact and Ethical Issues
•    Business Intelligence
•    Healthcare and Paradigm Shift.
By merging theoretical knowledge with practical applications, this book provides a panoramic view of AI's role in creating smart, sustainable, and inclusive systems across sectors. The book empowers AI researchers, practitioners, policymakers, or enthusiasts and frame a pathway from adaptive learning models and data-driven society to ethical algorithms and AI-enabled global collaboration. This edition is a definitive reference for anyone committed to advancing technology for the greater good.

Contents

Optimization of the Construction Mechanism of City Famous Teachers' Work Based on Big Data Analysis.- Optimization of the Construction Mechanism of City Famous Teachers' Work Based on Big Data Analysis.- Architecture and Implementation of Intelligent Document Workflow System Based on Large Language Model Technology.- Artificial Intelligence-Driven Optimization of Ocean Carbon Sink Strategy Research.- Malicious.- Research on the Application of BIT Technology in Equipment Testability Design and PHM.- Construction of Predictive Models for Biochemical Data Mining Based on Deep Learning.- Design of an Equipment Life Assessment System Using Condition Monitoring Data for Pressure Piping Equipment.- AI-Driven Bioinformatics for Deciphering Cyclic RNA Mechanisms in Qingre Huayu Recipe for Cerebral Infarction Therapy.- Intelligent Fingerprint Identification of Athletes Using Detail Matching Algorithm.

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