会议信息

ICISC' 2027: International Conference on Inventive Systems and Control

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截稿日期:
2027-04-09 还有 181 天
通知日期:
2027-05-10
会议日期:
2027-07-15
会议地点:
Coimbatore, India
届数:
浏览: 3898   关注: 0   参加: 0
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ICISC'
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会伴指数 (CP-I)

50.2 / 100
全站第 1,574 名 / 共 5,695 个会议 · 前 28%

机器人与控制 第 75 / 470

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%)
67
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:11 · 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 2026-10-10

征稿

ICISC' 2027 (International Conference on Inventive Systems and Control) is an academic conference held in Coimbatore, India on 2027-07-15. The paper submission deadline is 2027-04-09. Acceptance notifications are sent on 2027-05-10.

Novel research and/or review papers on the state-of-the-art and visionary research contributions that present new innovative perspectives, ideas, conceptual and empirical contributions with potential impact in the future are invited to this conference. Track 1: Intelligent Systems Industrial Machine Learning Applications Computer Vision for Industry Advanced Soft Computing Techniques Human-Centric AI in Industrial Environments Deep Learning for Predictive Maintenance Natural Language Processing for Industry Cognitive Architectures for Smart Manufacturing AI for Industrial IoT Systems Explainable AI and Transparent Systems Cyber-Physical Systems with AI Hybrid Fuzzy Systems for Industry Intelligent Agents and Multi-Agent Systems for Industry Complex Industrial Intelligent Systems Trusted and Dependable AI Systems for Industry Track 2: Control Techniques Robotics, Navigation, and Control for Industrial Automation Network Intelligence and Distributed Control Fault Detection and Fault-Tolerant Control Learning and Adaptive Control for Dynamic Systems Modeling, Optimization, and Control of Complex Industrial Systems Intelligent Control in Autonomous Systems Intelligent Decision Support Systems for Industry Fuzzy and Neural Networks-Based Control Systems for Industry: Intelligent Vehicle Control Systems Adaptive Control Systems for Real-Time Applications Hybrid Intelligent Control Systems Embedded Control Systems for Industry Machine Learning-Enhanced Control Applications
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