会议信息

ICIACS 2027: International Conference on Innovations and Advances in Cognitive Systems

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截稿日期:
2026-11-29 还有 48 天
通知日期:
2026-12-26
会议日期:
2027-03-01
会议地点:
Kangeyam, India
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会伴指数 (CP-I)

43.3 / 100
全站第 3,666 名 / 共 5,697 个会议 · 前 65%
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%)
5
资料公开度 (15%)
35

用到的输入: 过去 24 个月打开过本页的研究者：1 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 2026-10-12

征稿

ICIACS 2027 (International Conference on Innovations and Advances in Cognitive Systems) is an academic conference held in Kangeyam, India on 2027-03-01. The paper submission deadline is 2026-11-29. Acceptance notifications are sent on 2026-12-26.

This conference is open for worldwide discussion of various integration schemes of cognitive engineering, along with completely new ideas and revolutionary approaches, that will be evaluated and will allow us to break the barriers, enabling a transition to the next-generation cognitive systems. Track 1: Intelligent Information Processing Information granulation and abstraction methods Fuzzy sets, rough sets, and interval computing Granular neural networks and learning models Granular data mining and knowledge discovery Granular reasoning and decision support systems Uncertainty modeling using granular approaches Granular computing for big data analytics Hybrid granular–AI models Explainable AI using granular structures Track 2: Human-Centered Cognitive Systems Cognitive modeling and human-in-the-loop systems Human–computer interaction and cognitive ergonomics Granular approaches for modeling human perception Cognitive decision-making and adaptive interfaces Trust, transparency, and explainability in cognitive systems Human–AI collaboration and augmentation User-centric system design and evaluation Cognitive workload and performance assessment Intelligent assistive and rehabilitation systems Track 3: Next-Generation Cognitive Systems Systems modeling and system-of-systems engineering Cybernetic principles in intelligent systems Self-adaptive and autonomous cognitive systems Cyber-physical and socio-technical systems Control and optimization of complex systems Granular system theory and hierarchical modeling Intelligent robotics and autonomous agents Resilient and secure cognitive systems Learning and evolution in complex systems
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