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AISS' 2026: International Conference on Artificial Intelligence for Sustainable Society

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截稿日期:
2026-05-30
通知日期:
2026-07-20
会议日期:
2026-10-23
会议地点:
Osaka, Japan
届数:
2
浏览: 6453   关注: 0   参加: 0

会伴指数 (CP-I)

39.9 / 100
全站第 5,080 名 / 共 5,693 个会议 · 前 90%

能源与环境 第 254 / 298 人工智能与机器学习 第 656 / 742

学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
30
社区关注 (10%)
12
资料公开度 (15%)
35

用到的输入: 有据可查的届次：2 · 过去 24 个月打开过本页的研究者：4 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 45% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-10-03

征稿

AISS' 2026 (International Conference on Artificial Intelligence for Sustainable Society) is an academic conference held in Osaka, Japan on 2026-10-23. The paper submission deadline is 2026-05-30. Acceptance notifications are sent on 2026-07-20.

The major topics of AISS2026 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 AISS2026: 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
由 Dou Sun 最后更新于

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