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EIBDCT 2027: International Conference on Electronic Information Engineering, Big Data and Computer Technology

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EIBDCT
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截稿日期:
2027-02-08 还有 136 天
通知日期:
2027-03-08
会议日期:
2027-04-23
会议地点:
Yichang, China
届数:
浏览: 11766   关注: 3   参加: 0

会伴指数 (CP-I)

48.8 / 100
全站第 1,885 名 / 共 5,687 个会议 · 前 34%

数据挖掘与数据库 第 108 / 337

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%)
52
社区关注 (10%)
25
资料公开度 (15%)
55

用到的输入: 有据可查的届次：6 · 在会伴关注它的研究者：3 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 1.1 · 算于 2026-09-25

征稿

EIBDCT 2027 (International Conference on Electronic Information Engineering, Big Data and Computer Technology) is an academic conference held in Yichang, China on 2027-04-23. The paper submission deadline is 2027-02-08. Acceptance notifications are sent on 2027-03-08.

The topics of interest for submission include, but are not limited to: Electronic Information Engineering Circuit and system design Signal processing and analysis Communication theory and technology Wireless communication systems Optical communication and optoelectronic technology Microwave and antenna engineering Embedded systems and applications Integrated circuit design and technology Sensor technology and applications Image and video processing Digital signal processing Power electronics and electrical systems Control theory and engineering Electromagnetic compatibility and applications Electronic measurement and instrumentation Big Data Big data storage and management Big data mining and analysis Data cleaning and preprocessing Distributed computing framework Cloud computing and big data Real-time data processing Data visualization technology Multi-source data fusion Big data security and privacy Machine learning for big data Data-driven decision support systems Big data application systems High-performance data processing Knowledge graph and big data Big data in intelligent systems Computer Technology Artificial intelligence and algorithms Machine learning and deep learning Computer vision and pattern recognition Natural language processing Software engineering and development Operating system and kernel technology Computer network and security Database system and application Parallel and distributed systems Cloud computing and edge computing Blockchain technology and applications Human-computer interaction Computer graphics and visualization Intelligent computing systems; Emerging computer technologies
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