会议信息

ICCMC 2027: International Conference on Computing Methodologies and Communication

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截稿日期:
2027-03-29 还有 155 天
通知日期:
2027-04-26
会议日期:
2027-06-21
会议地点:
Tamil Nadu, India
届数:
浏览: 19246   关注: 5   参加: 2
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ICCMC
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会伴指数 (CP-I)

51.6 / 100
全站第 1,336 名 / 共 5,759 个会议 · 前 24%

网络与通信 第 188 / 874

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%)
65
社区关注 (10%)
29
资料公开度 (15%)
55

用到的输入: 有据可查的届次:10 · 在会伴关注它的研究者:5 人 · 过去 24 个月打开过本页的研究者:4 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 1.2 · 算于 2026-10-25

征稿

ICCMC 2027 (International Conference on Computing Methodologies and Communication) is an academic conference held in Tamil Nadu, India on 2027-06-21. The paper submission deadline is 2027-03-29. Acceptance notifications are sent on 2027-04-26.

ICCMC 2027 aims to establish an international forum for researchers, engineers, academicians and scholars to present the recent technological developments from the interdisciplinary research domain - Computing Methodologies and Communication. The quantitative engineering studies and applications in the computing and communications field will be considered. The manuscripts are solicited based on the following tracks, but not limited to Track — 1 | Experiential Intelligence in User-Centric Networking AI-driven user-centric networking Personalized content delivery using AI Context-aware networking and ambient intelligence Human-centric AI interfaces for networking AI-driven augmented and virtual reality Emotional intelligence in human-AI collaboration Adaptive user experience through deep learning Track — 2 | Cognitive Networks for Autonomous Connectivity Reinforcement learning for self-optimizing networks Explainable AI in autonomous decision-making Swarm intelligence in network resource allocation Federated learning for edge intelligence Self-healing and self-configuring network architectures Quantum-inspired algorithms for network optimization Bio-inspired networking models and Neuro-inspired computing Track — 3 | Next-Generation Communication Technologies B5G and AI synergy for enhanced connectivity AI applications in software-defined networking Virtualization and AI in communication networks Blockchain and AI for secure communication Quantum computing and communication AI driven network security analytics Cognitive radio networks AI-driven network slicing Collaborative intelligence in communication systems
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