Artificial Intelligence Computing and Systems: Second International Conference, AICompS 2025, Fukuoka, Japan, November 26–28, 2025, Revised Selected Papers
Author:   Brent Byunghoon Kang ,  Daehee Jang
Publisher:   Springer Verlag, Singapore
ISBN:  

9789819218905


Pages:   550
Publication Date:   04 September 2026
Format:   Paperback
Availability:   Not yet available   Availability explained
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Artificial Intelligence Computing and Systems: Second International Conference, AICompS 2025, Fukuoka, Japan, November 26–28, 2025, Revised Selected Papers


Overview

This book constitutes the refereed proceedings of the Second International Conference on Artificial Intelligence Computing and Systems, AICompS 2025, which took place in Fukuoka, Japan, in November 26–28, 2025. The 30 full papers and 10 short papers were included in this book were carefully reviewed and selected from 69 submissions. This conference focused on a broad range of topics spanning artificial intelligence, AI privacy and safety, secure and trustworthy AI systems, as well as systems, networks, hardware, and information security for AI-driven environments.

Full Product Details

Author:   Brent Byunghoon Kang ,  Daehee Jang
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Nature
ISBN:  

9789819218905


ISBN 10:   981921890
Pages:   550
Publication Date:   04 September 2026
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Forthcoming
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

.- Vague2Detect: Handling Ambiguous Prompts in Knowledge-Based Open-World  Detection. .- Enhanced Carbon Emission Prediction in IoT using Optimized Rotation-Invariant Coordinate Convolutional Neural Network for Accurate Urban Environmental Monitoring. .- Not Just Accuracy: Consistency and Reliability as Core Factors in LLM Evaluation.

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