Conference Information
AISS' 2025: International Conference on Artificial Intelligence for Sustainable Society
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Submission Date: |
2025-10-25 Extended |
Notification Date: |
2025-11-10 |
Conference Date: |
2025-11-28 |
Location: |
Kobe, Japan |
Years: |
1 |
Viewed: 4610 Tracked: 0 Attend: 0
Call For Papers
The major topics of AISS2025 are Theory and its Development for AI aided Sustainable Development for Energy and Environment and Applications of AI toward Sustainable Society but not limited to be included in the major topics. The followings are more minute topics for AISS2025:
AI Computing and Control for SS
Evolutionary Computation
Machine Learning
Knowledge-based Intelligent Systems
Hybrid Learning System
Remote Sensing
Network Computing
Neural Computing
Optimization Algorithms
Soft Computing
Mechatronic Systems and Optimization Algorithms
Cloud Computing and Big Data
Quantum Computing
Ubiquitous Computing
Signal and Image Processing
Genetic Algorithms
Decision Support Systems
Deep Learning
Autonomous Systems
Network Intelligence and Control
Hybrid Intelligent Systems
Neural Networks
Fuzzy Control
Other AI Technologies for SS
Searching
Planning
Reasoning
Knowledge Representation
Natural Language Processing
Perception
Multi-agent systems
Statistical learning
Virtual Reality
Generative AI
Interactive AI Service
Energy, Environment, Sustainable Society
Energy Savings
Digitization
Recycling
Renewable Water Resource
Zero-carbon Energy Systems
Green House Gas
Natural Resource Consumption
Renewable Energy
Global Warming
Sustainable Ecosystems
Sustainable Supplement of Natural Energy
AI Technology aided Sustainable Development
AI Technologies for Environment Engineering
AI Control for Energy Saving
AI Technologies for Green House Gas Emission
Intelligent Risk Management for Sustainable Development
Efficient Utilization of Natural Energy
AI aided Natural Energy Plant
AI based Recycle Engineering
Intelligent Systems for Garbage Recycle
AI Technologies for Decarbonization
AI Technologies for Fuel Cell
AI Computing and Control for SS
Evolutionary Computation
Machine Learning
Knowledge-based Intelligent Systems
Hybrid Learning System
Remote Sensing
Network Computing
Neural Computing
Optimization Algorithms
Soft Computing
Mechatronic Systems and Optimization Algorithms
Cloud Computing and Big Data
Quantum Computing
Ubiquitous Computing
Signal and Image Processing
Genetic Algorithms
Decision Support Systems
Deep Learning
Autonomous Systems
Network Intelligence and Control
Hybrid Intelligent Systems
Neural Networks
Fuzzy Control
Other AI Technologies for SS
Searching
Planning
Reasoning
Knowledge Representation
Natural Language Processing
Perception
Multi-agent systems
Statistical learning
Virtual Reality
Generative AI
Interactive AI Service
Energy, Environment, Sustainable Society
Energy Savings
Digitization
Recycling
Renewable Water Resource
Zero-carbon Energy Systems
Green House Gas
Natural Resource Consumption
Renewable Energy
Global Warming
Sustainable Ecosystems
Sustainable Supplement of Natural Energy
AI Technology aided Sustainable Development
AI Technologies for Environment Engineering
AI Control for Energy Saving
AI Technologies for Green House Gas Emission
Intelligent Risk Management for Sustainable Development
Efficient Utilization of Natural Energy
AI aided Natural Energy Plant
AI based Recycle Engineering
Intelligent Systems for Garbage Recycle
AI Technologies for Decarbonization
AI Technologies for Fuel Cell
Last updated by Dunn Carl in 2025-09-11
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