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AI+E 2027: International Conference on AI & Engineering

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AI+E
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截稿日期:
2027-01-25 还有 126 天
通知日期:
2027-02-20
会议日期:
2027-03-26
会议地点:
Yueyang, China
届数:
浏览: 3678   关注: 0   参加: 0

会伴指数 (CP-I)

42.7 / 100
全站第 3,961 名 / 共 5,683 个会议 · 前 70%
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%)
30
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：2 · 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 2026-09-21

征稿

AI+E 2027 (International Conference on AI & Engineering) is an academic conference held in Yueyang, China on 2027-03-26. The paper submission deadline is 2027-01-25. Acceptance notifications are sent on 2027-02-20.

International Conference on AI & Engineering (AI+E) aims to promote the exchange of ideas in artificial intelligence applications in engineering domains. ​The topics of interest include, but are not limited to: Artificial Intelligence Artificial intelligence applications Algorithms and models Big data Deep learning architectures and innovations Optical neural network Optimization and training Machine learning in healthcare Natural language processing Computer vision Computational optical imaging Theoretical foundations Pattern recognitiona Intelligent systems and agent Human-agent interaction and​ collaboration Virtual and augmented reality applications User interface design for AI systems Evolving AI regulation Voice assistants and natural language interfaces Gesture recognition and multimodal interaction Engineering Software engineering Internet of Things (IoT) AI in industry AI-driven supply chain optimization AI and machine learning in photonics Intelligent manufacturing and Industry 4.0 Intelligent fault detection, analysis, diagnostics and monitoring Digital twin for engineering Intelligent Planning and Scheduling AI in data analysis and decision making AI in environment AI for cybersecurity AI and Civil Engineering Intelligent transportation systems & smart vehicles Photonics in autonomous systems Mechatronics Automatic programming Automatic control Big data analytics, understanding complex networks
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