会议信息

FICMSS 2027: International Conference on the Frontiers of Intelligent Control, Measurement and Signal Systems

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截稿日期:
2026-11-06 已截稿
通知日期:
2026-12-06
会议日期:
2027-01-08
会议地点:
Xi an, China
届数:
浏览: 10669   关注: 1   参加: 0
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FICMSS
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会伴指数 (CP-I)

46.3 / 100
全站第 2,615 名 / 共 5,771 个会议 · 前 46%

机器人与控制 第 164 / 478 电气与电子工程 第 200 / 520

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%)
43
社区关注 (10%)
19
资料公开度 (15%)
55

用到的输入: 有据可查的届次：4 · 在会伴关注它的研究者：1 人 · 过去 24 个月打开过本页的研究者：4 人

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征稿

FICMSS 2027 (International Conference on the Frontiers of Intelligent Control, Measurement and Signal Systems) is an academic conference held in Xi an, China on 2027-01-08. The paper submission deadline is 2026-11-06. Acceptance notifications are sent on 2026-12-06.

Track 1 Intelligent Control Intelligent Control Theory and System Network Intelligence and Network Control Intelligent Fault Detection and Diagnosis Cloud Computing and Computing Intelligence Intelligent and Optimal Control System Power System and Automation Automatic Control Theory Electrical control technology Electromechanical transmission control Unmanned Systems Navigation and Guidance Robotics and automation Track 2 Measurement Measurement and Control Technology Intelligent Instruments Measurement Signal Processing and Analysis High-performance Processors and Intelligent Instrument Instrumentation Theory and Measurement Technology Precision and Ultra-precision Machining Measurement New Instrument and Measurement System Laser Measurement Technology and Instrument Measurement System and Instrument Calibration Optical Metrology Image Software and Device Smart Manufacturing and Test and Measurement Track 3 Signal Systems Signal Processing in Mobile Communications Signal Processing for Internet and Wireless Communications Signal Processing in Optical Communications Signal Processing in Software Radio Realization Multirate Signal Processing in Communications Array Signal Processing Technology Embedded System Data Mining with Its Applications Deep Learning for Signal and Information Processing Machine Learning for Signal Processing
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