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AI aided Sustainable Development : Proceedings of 1st International Conference on Artificial Intelligence for Sustainable Society (AISS 2025) / edited by Kazumi Nakamatsu, Yen-Wei Chen, Ari Aharari, Toshifumi Kimura.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2026 Available online

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Format:
Book
Author/Creator:
Nakamatsu, Kazumi.
Contributor:
Nakamatsu
Series:
Advances in Sustainability Science and Technology, 2662-6837
Language:
English
Subjects (All):
Computational intelligence.
Artificial intelligence.
Renewable energy sources.
Sustainability.
Computational Intelligence.
Artificial Intelligence.
Renewable Energy.
Local Subjects:
Computational Intelligence.
Artificial Intelligence.
Renewable Energy.
Sustainability.
Physical Description:
1 online resource (513 pages)
Edition:
1st ed. 2026.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2026.
Summary:
This book is a collection of research papers presented at 1st International Conference on Artificial Intelligence and Sustainable Society (AISS 2025) in Kobe, Japan, during November 28–30, 2025. It constitutes the selected excellent works and recent research trends of scholars and graduate students from AISS 2025. It covers topics such as system techniques, performance, and implementation; content creation and modeling; cognitive aspects, perception, user behavior; AI technology-aided sustainable development; interactions, interactive and responsive environments; AI applications and case studies.
Contents:
Embedding Indigenous Data Sovereignty in Ethical AI Governance: A Global Framework for Culturally Aligned Intelligence Systems
Artificial Intelligence for Decision-Making under Uncertainty in Criminal Investigation: A Systematic Mapping of Paraconsistent Neural Networks, Evidential Logic Eτ, and Supervised Learning. AI-Driven Monitoring of On-Board Fish Storage Conditions to Enhance Quality in Artisanal Fleets
AI-Based Clinical Decision Support System for Community Hospitals: A Proof-of-Concept with Dual-AI Validation Architecture
Optimizing Day-Ahead Energy Trading with Proximal Policy Optimization and Block
Weighted Cell-expanded Long Short-term Memory
Paraconsistent Artificial Neural Networks (PANN) and Contradictory Customer Feedback in Last-Mile Logistics: A Systematic Literature Review
Building Seismic Risk Assessment and Three-Dimensional Visualization Using a Machine Learning-Based Approach
Hate Speech and Abusive Language Detection in Indonesian Twitter using BERT-Based Models with A Small Amount of Epoch Training
Early Detection of Suicidal Ideation through Indonesian Twitter Content
Opening the Black Box: How Large Language Models and Machine Learning can Support Legal Analysis
When Paraconsistent Logic Meets Large Language Models: Resilient Decision Support Systems for Uncertain and Contradictory Environments
Advancing Green Procurement: LLM Assessment and Paraconsistent Logic Reasoning for Explainable ESG Compliance
GPT-Based Business Assistant Model for the Automation of Administrative Processes in Micro and Small Enterprises
ParaBroiler: An Intelligent Environmental Classifier powered by Paraconsistent Annotated Evidential Logic Eτ
FLAME: An Intelligent IoT System for Predictive Wildfire Monitoring
Computer Vision and Paraconsistent Logic for Inclusive Automation: Facial Gesture-Based Control in Embedded Assistive Systems
PANShield: Paraconsistent Analysis Networks for Defense Against Adversarial Attacks in Cybersecurity Systems.
Notes:
Print version record.
ISBN:
9783032252678
OCLC:
1610749793

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