会议信息

​ICAERI 2026: ​International Conference on Advanced Equipment Research and Innovation

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​ICAERI
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截稿日期:
2026-07-15
通知日期:
2026-08-21
会议日期:
2026-09-11
会议地点:
Qinhuangdao, China
浏览: 931   关注: 0   参加: 0

会伴指数 (CP-I)

43.8 / 100
全站第 3,354 名 / 共 5,684 个会议 · 前 59%
证据有限：这个会议不在 CCF / ICORE / QUALIS 任何一份榜单里，也没有录用率数据，因此分数的大部分回落到了中性基准。
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%) 无数据 —— 按中性基准 50 分计入 —
社区关注 (10%)
10
资料公开度 (15%)
35

用到的输入: 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) · 历届信息 (+3.0) · 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 25% —— 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 2026-09-24

征稿

​ICAERI 2026 (​International Conference on Advanced Equipment Research and Innovation) is an academic conference held in Qinhuangdao, China on 2026-09-11. The paper submission deadline is 2026-07-15. Acceptance notifications are sent on 2026-08-21.

International Conference on Advanced Equipment Research and Innovation (ICAERI) aims to the promote the exchange of ideas in advanced equipment. Topics of particular interests include: Advanced design theory and technology Lightweight component design System dynamics analysis Unmanned autonomous operation Machine design technologies Material preparation and manufacturing technology Advanced manufacturing materials Service behavior and applications of advanced materials (high strength, lightweight, composites, etc.) Green manufacturing technologies for metallic materials Intelligent drive and transmission Theory and processes of additive manufacturing Manufacturing technology under extreme conditions Digital manufacturing Sustainable and green technologies and processes... Advanced ​manufacturing theory and technology Digitalized and intelligent hydraulic control Coordinated control of multiple intelligent agents Dynamic analysis of complex systems Advanced manufacturing of mechanical equipment... Intelligent health operation and maintenance throughout the lifecycle High-Performance intelligent equipment Modeling techniques for manufacturing processes and systems Intelligent sensing technology and its industrial applications Intelligent monitoring and control systems Big data-based equipment failure prediction and diagnosis Collective intelligence operations for high-end equipment
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