会议信息

CIS' 2026: International Conference on Cybernetics and Intelligent Systems

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截稿日期:
2026-03-29
通知日期:
2026-04-26
会议日期:
2026-08-05
会议地点:
Changchun, China
届数:
12
浏览: 19074   关注: 1   参加: 0

征稿

CIS' 2026 (International Conference on Cybernetics and Intelligent Systems) is an academic conference held in Changchun, China on 2026-08-05. The paper submission deadline is 2026-03-29. Acceptance notifications are sent on 2026-04-26.

About CIS-RAM The IEEE International Conferences on CIS & RAM have always been held together, to exploit the synergistic relationship between both areas. CIS-RAM was first held in Singapore in 2004, followed by Thailand in 2006, Chengdu (China) in 2008, Singapore in 2010, Qingdao (China) in 2011, Manila (Philippines) in 2013, Angkor Wat (Cambodia) in 2015, Ningbo (China) in 2017, Bangkok (Thailand) in 2019, Penang (Malaysia) in 2023 and Hangzhou (China) in 2024. Accepted papers will be submitted for possible inclusion into IEEE Xplore subject to meeting IEEE Xplore's scope and quality requirements. The proceedings of past CISRAMs have all been included in the IEEE Xplore database and indexed by EI Compendex. The 12th IEEE International Conferences on CIS & RAM will be held in Changchun, China on 5-7 August 2026 and in Noida, India (Satellite) on 3 August 2026. Programs and Topics on CIS Cybernetics Automation and Control, Cooperative Systems and Control, Computational Intelligence, Multi-Agent Systems, Supervisory Control, Hybrid Systems, Neural Networks, Deep Reinforcement Learning, Genetic Algorithms, Evolutionary Computation, Systems Modeling & Control, Optimization, Smart Sensor Networks, Blockchain Technologies, Networked Dynamical Systems, Discrete Event Systems, Swarm Intelligence, Soft Computing, Fuzzy Systems, Decision Support Systems, System of Systems, Big Data, Internet of Things, Image Processing, Environmental Systems, Systems Biology, Cyber-physical Systems, Human/Machine Systems, Transportation Systems, Manufacturing Systems, Smart City, Resource Management, Energy Efficiency, Artificial Intelligence Generated Content, Large Language Models, Natural Language Processing.
由 Dou Sun 最后更新于

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