会议信息

ComNet 2024: IEEE International Conference on Communications and Networking

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ComNet
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截稿日期:
2024-07-31 Extended
通知日期:
2024-08-15
会议日期:
2024-11-01
会议地点:
Hammamet, Tunisia
届数:
11
浏览: 7290   关注: 0   参加: 0

会伴指数 (CP-I)

47.0 / 100
全站第 2,299 名 / 共 5,683 个会议 · 前 41%

网络与通信 第 343 / 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%)
67
社区关注 (10%)
8
资料公开度 (15%)
35

用到的输入: 有据可查的届次：11 · 过去 24 个月打开过本页的研究者：2 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 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 2026-09-22

征稿

ComNet 2024 (IEEE International Conference on Communications and Networking) is an academic conference held in Hammamet, Tunisia on 2024-11-01. The paper submission deadline is 2024-07-31 (extended). Acceptance notifications are sent on 2024-08-15.

About IEEE ComNet 2024 The 11th IEEE International Conference on Communications and Networking, IEEE ComNet’2024, together with a 6G Global Connectivity Summit, is organized by MEDIATRON/SUP’COM and aims at bringing together ICT researchers from northern and southern countries to meet, and to exchange ideas and expertise on topics related to Artificial Intelligence (AI), Big Data, Machine Learning, Communications and Networking. Tracks Authors are solicited to contribute to this conference by submitting original articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas : Track1: AI and big data for networks & digital communications Big Data Analytics for Wireless and Wired Network Design Machine learning techniques for propagation modeling and wireless communications in 6G Big Data Intelligent Networking Self Organizing Networks Track 2: AI and big data applied to cybersecurity Deep learning for secure fingerprint techniques Security and privacy issues, Best practices and use cases Big Data, Analytics & Artificial Intelligence in Cybersecurity System Software and Security Track 3: Services and applications AI and big data Impact of AI & Big Data technologies Delivering ai & big data for a smarter future Deep learning for healthcare Ethics on Big Data and AI Open data/Social impact of AI
由 Dou Sun 最后更新于

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