会议信息

ICAN 2027: International Conference on Artificial Intelligence driven Computing, Analytics and Networks

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截稿日期:
2027-03-15 还有 181 天
通知日期:
2027-05-15
会议日期:
2027-07-16
会议地点:
Chandigarh, India
届数:
浏览: 15518   关注: 0   参加: 0

会伴指数 (CP-I)

48.0 / 100
全站第 2,054 名 / 共 5,682 个会议 · 前 37%
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%)
56
社区关注 (10%)
10
资料公开度 (15%)
55

用到的输入: 有据可查的届次：7 · 过去 24 个月打开过本页的研究者：3 人

公开资料里还缺: 历年录用率 (+4.5) · 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 2026-09-15

征稿

ICAN 2027 (International Conference on Artificial Intelligence driven Computing, Analytics and Networks) is an academic conference held in Chandigarh, India on 2027-07-16. The paper submission deadline is 2027-03-15. Acceptance notifications are sent on 2027-05-15.

Thematic Areas ICAN 2027 focuses on the transformative impact of Artificial Intelligence on modern computing systems, data-driven analytics, and intelligent networked infrastructures. The conference invites original research contributions that advance design and implementation of AI enabled technologies across multiple domains and applications. An indicative topics are provided below for the ready reference of prospective authors. Track 1 — AI-Driven Computing and Autonomous Systems AI Computing Architectures and Systems General, Agentic, and Collective AI Agentic AI and Self-Learning Autonomous Systems Distributed, Federated, and Collaborative AI AI for Sustainable and Energy-Efficient Computing Track 2 — AI-Driven Analytics and Intelligent Infrastructure Large-Scale AI-Driven Data Analytics Knowledge Discovery and Intelligent Decision-Making AI-Enabled Cyber-Physical Systems Smart Infrastructure and Intelligent Systems AI Applications for Sustainable and Efficient Systems Track 3 — Intelligent Networks and Trustworthy AI Intelligent Networked Systems and AI-Driven Networking AI for Next-Generation Communication Networks Trustworthy, Explainable, and Responsible AI AI Ethics, Governance, Security, and Accountability Trustworthy AI for Networked and Autonomous Systems
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