会议信息

AIMLNET 2026: International Conference on AI, Machine Learning in Communications and Networks

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AIMLNET
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截稿日期:
2026-08-14
通知日期:
2026-10-10
会议日期:
2026-12-26
会议地点:
Dubai, UAE
届数:
浏览: 11778   关注: 1   参加: 0

会伴指数 (CP-I)

47.9 / 100
全站第 2,096 名 / 共 5,687 个会议 · 前 37%

人工智能与机器学习 第 223 / 741 网络与通信 第 313 / 864

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%)
17
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：1 人 · 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 2026-09-29

征稿

AIMLNET 2026 (International Conference on AI, Machine Learning in Communications and Networks) is an academic conference held in Dubai, UAE on 2026-12-26. The paper submission deadline is 2026-08-14. Acceptance notifications are sent on 2026-10-10.

Scope & Topics 5th International conference on AI, Machine Learning in Communications and Networks (AIMLNET 2025) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence, Machine Learning impacts on Communications and Networks. The Conference looks for significant contributions to all major fields of the Artificial Intelligence, Machine Learning and networks in theoretical and practical aspects. The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Authors are solicited to contribute to the Conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to. Topics of interest include, but are not limited to, the following · AI, Machine Learning algorithm & Cognitive Radio Networks · AI, Machine Learning and Cyber Security · AI, Machine learning for Transport Layer Congestion Control · AI, Machine learning techniques for networks and data mining · AI, Machine Learning and Intelligent Communications · AI, Machine learning for IoT, Smart cities and Vehicular Networks · AI, Machine learning in Network Automation · Resource and Network Optimization using AI, ML · AI, Machine learning in network theory and methodologies · AI, Machine learning in Network analytics · AI, Machine learning in Network applications · AI, Machine Learning on Information and Signal Processing · AI, ML based Measurement & Performance Analysis · AI, ML for virtualization and SDN · AI, ML in Wireless, Mobile and Satellite Communications · AI, ML trends & Developments in Computer Networks
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