会议信息

CSIS-IAC 2023: International Annual Conference on Complex Systems and Intelligent Science

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截稿日期:
2023-08-31 延期
通知日期:
2023-09-15
会议日期:
2023-10-20
会议地点:
Shenzhen, China
浏览: 10364   关注: 0   参加: 0
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CSIS-IAC
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会伴指数 (CP-I)

42.1 / 100
全站第 4,159 名 / 共 5,693 个会议 · 前 74%
证据有限：这个会议不在 CCF / ICORE / QUALIS 任何一份榜单里，也没有录用率数据，因此分数的大部分回落到了中性基准。
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%) 无数据 —— 按中性基准 50 分计入 —
社区关注 (10%)
8
资料公开度 (15%)
25

用到的输入: 过去 24 个月打开过本页的研究者：2 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 25% —— 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 2026-10-06

征稿

CSIS-IAC 2023 (International Annual Conference on Complex Systems and Intelligent Science) is an academic conference held in Shenzhen, China on 2023-10-20. The paper submission deadline is 2023-08-31 (extended). Acceptance notifications are sent on 2023-09-15.

CSIS-IAC 2023 aims to provide a high-level international forum for scientists, researchers, educators, industrial professionals, and students worldwide to present state-of-the-art research results, address new challenges, and discuss trends in Complex Systems and Intelligent Science. CSIS-IAC 2023 invites scholars in all areas of Complex and Nonlinear Systems, System Analysis and Integration, Intelligent Science and Technology, and Intelligent Systems and Applications. In addition to regular technical sessions with oral and poster presentations, the conference program will include special sessions on topics of current interest. CSIS-IAC 2023 features plenary/keynote sessions by world leading researchers as well as awards to honor outstanding papers presented at the conference. CSIS-IAC 2023 welcomes proposals for special sessions reporting innovative research results on focused topics and workshops on novel emerging research topics. Please submit special session and workshop proposals to the conference secretariat at <[email protected]> by the paper submission deadline. For more information about the conference, please refer to the conference website for details. Areas and topics of contributed papers include but are not limited to the following: 1. Complex Systems and Complexity Science Artificial systems Autonomous systems Bio-molecular and cellular systems Complex networks Ecological systems Economic systems Energy, environment, and sustainability Hybrid systems Industrial systems Intelligent transportation systems Mathematical, physical and chemical systems Neurodynamics and brain dynamics Physiological and psychological systems Social computing Social systems Switching systems 2. System Analysis and Integration Catastrophe theory Chaos and synchronization Cognitive modeling Complexity in biology and health sciences Computation and information processing in complex systems Computational simulation and experiments Cybernetics Data-based methods Dissipative structure theory Dynamic programming Emergence and complexity Functional evolution and prediction Game theory Information theory Self-organization Synergetics Structural modelling and dynamics of complex systems System of systems 3. Intelligent Science and Technology Adaptive dynamic programming and reinforcement learning Affective computing Artificial intelligence Big data and data mining Brain-inspired computing Computational intelligence Computational linguistics Deep learning Evolution and adaptation Evolutionary computation Fuzzy sets and fuzzy logic systems Genetic algorithms Human-in-the-loop learning Hybrid intelligence Incremental/Active learning Intelligent optimization Knowledge representation and reasoning Machine learning Metaheuristics Natural language processing Neural networks Support vector machines Swarm intelligence 4. Intelligent Systems and Applications Autonomous control Autonomous driving Brain–machine interface Cognitive computing Computer vision Decision-making analysis and methods Games Image/video processing Intelligent control Intelligent medicine Internet of things Learning control and optimization Metaverse, meta learning and metacontrol Machine translation Multi-agent systems Nature-inspired computing Neuromorphic computing Pattern formation and pattern recognition Parallel control and parallel management Robotics, navigation and control Smart environmental protection Smart sensors Smart grids Supervised, semi-supervised and unsupervised learning Unmanned aerial vehicles
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