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IEEE ICAS 2021: IEEE International Conference on Autonomous Systems

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截稿日期:
2021-03-03 Extended
通知日期:
2021-05-21
会议日期:
2021-08-11
会议地点:
Montreal, Quebec, Canada
浏览: 13137   关注: 0   参加: 0

会伴指数 (CP-I)

42.1 / 100
全站第 4,137 名 / 共 5,682 个会议 · 前 73%

机器人与控制 第 301 / 469

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 2026-09-19

征稿

IEEE ICAS 2021 (IEEE International Conference on Autonomous Systems) is an academic conference held in Montreal, Quebec, Canada on 2021-08-11. The paper submission deadline is 2021-03-03 (extended). Acceptance notifications are sent on 2021-05-21.

The IEEE International Conference on Autonomous Systems (IEEE ICAS 2021) will take place in Montréal, Québec, Canada on August 11-13, 2021. The IEEE ICAS 2020 will be a premier international forum for presenting the technological advances and research results in the fields of theoretical, experimental, and applied Autonomous Systems (AS). The 2021 IEEE International Conference on Autonomous Systems (ICAS 2021) is sponsored by IEEE Signal Processing Society (SPS) through IEEE SPS Autonomous Systems Initiative. Over the last decade, researchers have been proposing and investigating computing systems with advanced levels of autonomy in order to manage the ever-increasing requirements in complexity. An autonomous system is an artificial system able to perform a certain number of tasks with a high degree of autonomy. Signal Processing plays a key role within autonomous systems by providing theories and techniques to design algorithms used for perception, control and learning within an autonomous system. This IEEE ICAS 2021 conference is focused on providing an updated state of the art over most advanced signal processing theories and techniques that are relevant for developing autonomous systems. Original papers are invited from multidisciplinary, interdisciplinary and transdisciplinary perspectives on subject topics in Autonomous Systems (AS) including, but not limited to, the following: Topics Theoretical Foundations of AS Intelligent Foundations of AS System Foundations of AS Mathematical Foundations of AS Computational Foundations of AS Brain Science Foundations of AS Cognitive Foundation of AS Bottlenecks of Adaptive Systems Indeterministic & Uncertainty Behaviors of AS Interaction Between Humans and AS Autonomous Computing Platforms Neurological Foundations of AS Signal Processing Theories of AS Emerging Fields of AS Autonomous Computers Autonomous Algorithms Brain-inspired AS Machine Learning Autonomous IoTs Self-driving Vehicles and Vessels Autonomous Robots Real-time AS Autonomous Unmanned Systems Trustworthiness of AS Mission Critical Systems Autonomous Perception/Computer Vision AS Engineering Applied Paradigms of AS Autonomous Programming Cognitive Inference Engines Autonomous Robots Distributed AS Embedded AS Communications among AS Communications Between AS and Humans Autonomous Operating Systems Autonomous Sensors Autonomous Swarms Social AS
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