Conference Information
CCNML 2023: International Conference on Communications, Networking and Machine Learning
Submission Date:
2023-06-30 Extended
Notification Date:
Conference Date:
Beijing, China
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Call For Papers
2023 3rd International Conference on Communications, Networking and Machine Learning (CCNML 2023) -EI Compendex
Location: Beijing, China
Dates: July 21-23, 2023
Conference Format: Online and In-person

2023 3rd International Conference on Communications, Networking and Machine Learning (CCNML 2023) will be held during July 21-23, 2023 in Beijing, China. CCNML 2023 is dedicated to addressing the challenges in the areas of Communications, Networking and Machine Learning as well as its applications, presenting the latest scientific research results related to these topics. CCNML 2023 looks forward to bringing together researchers and practitioners from academia and industries to focus on related topics and establishing new collaboration in these areas.

Multiple Access Techniques	
Wireless & Mobile Networking
Cognitive Radio Networks	
Next-Generation Networking and Internet
Interference Cancellation and MUD
Cognitive Radio and Software Defined Radio
Multimedia Communications	
Optical Communications
MIMO Systems	
Microwave Engineering
Wireless Security	
Computer Networks 
(For more topics: )

Paper Publication:
All accepted and registered papers will be included in Conference Proceeding, published by ACM (ISBN: 979-8-4007-0760-5), and then indexed by Ei Compendex and Scopus.

*CCNML 2022 conference proceeding have already been published in Journal of Physics: Conference Series, Volume 2347, 2022 - IOPscience and will be indexed by EI and Scopus soon.
*CCNML 2021 conference proceeding have already been published in Journal of Physics: Conference Series, Volume 2003, 2021 - IOPscience and all papers already been indexed by EI Compendex and Scopus within 2 month after the conference held !

CCNML 2023 Speakers:
Prof. Saman Halgamuge, IEEE Fellow, AAIA Fellow, Fellow of IET, The University of Melbourne, Australia

Prof. Arumugam Nallanathan, Fellow IET, Fellow IEEE, Queen Mary University of London, UK

Prof. Graziano Chesi, Fellow IEEE, The University of Hong Kong, Hong Kong

Prof. Jimmy Liu, Southern University of Science and Technology, China

Paper Submission (Choose one way to submit your paper):
1. Submission System: (Recommend)
2. Email Submission: 

You are also welcome to join us as:
As Presenter: If you want to share you latest research results by giving presentation without publish papers, please submit your abstract (300-400 words)
As Listener: You are also warmly welcomed to take part in CCNML 2023 as a listener even though you have no paper to submit.
As Reviewer: To ensure the fairness and guarantee the quality of CCNML 2023, we cordially invite experts and scholars join us as a reviewer.

Contact us:
Conference Secretary: Ms. Fiona
Tel: +852 56144331

2023年第三届通信, 网络与机器学习国际会议 (CCNML 2023) - EI核心
2023 3rd International Conference on Communications, Networking and Machine Learning (CCNML 2023)
时间: 2023年7月21日- 23日 

●	会议简介
2023年第三届通信, 网络与机器学习国际会议 (CCNML 2023)  将于2023年7月21日- 23日在中国北京举行。CCNML 2023致力于解决通信, 网络与机器学习领域的挑战及其应用,展示与这些主题相关的最新科研成果。CCNML 2023期待着将来自学术界和工业界的研究人员和从业人员聚集在一起,专注于相关主题,并在这些领域建立新的合作。

●	论文出版和检索
CCNML 2023会议论文将收录在会议论文集中, 由ACM(ISBN: 979-8-4007-0760-5) 出版,并被Ei Compendex 和 Scopus 检索。

*CCNML 2022会议论文已经发表在Journal of Physics: Conference Series, Volume 2347, 2022 – IOPscience, 并将很快被EI和Scopus检索。
*CCNML 2021会议论文已经发表在Journal of Physics: Conference Series, Volume 2003, 2021 – IOPscience, 所有论文已在会议结束后2个月内被EI Compendex和Scopus检索!

●	征文主题 
(主题包括但不限于这些,更多详细主题请见官网: )
更多主题请见官网: )

● 演讲专家
Prof. Saman Halgamuge (IEEE Fellow, AAIA Fellow), 墨尔本大学,澳大利亚

Prof. Arumugam Nallanathan (Fellow IET, Fellow IEEE), 伦敦大学玛丽皇后学院,英国

Prof. Graziano Chesi (Fellow IEEE), 香港大学,香港

Prof. Jimmy Liu, 南方科学与技术大学,中国

● 提交论文
1. CMT线上投稿系统: (推荐)
2. 直接将您的文章或摘要投到我们的会议邮箱,我们收到后会第一时间回复您。
3.审稿流程:作者投稿 - 稿件收到确认(1个工作日)- 初审(1-3工作日) - 复审(5-10工作日)- 告知结果(接受/拒稿),越早投稿越早收到文章结果。

● 投稿说明
1. 本会议官方语言为英语,投稿者务必用英语撰写论文。
2. 稿件应为原创作品,未在国内外刊物上发表过, 不接受一稿多投。 作者可通过Crosscheck, Turnitin或其他查询系统查重,否则由文章重复率引起的被拒搞将由作者自行承担责任。涉嫌抄袭的论文将不被出版,且公布在会议主页。
3. 请根据格式模板文件编辑您的文章( )
4. 只做报告不发表论文的作者只需提交摘要。

●	联系方式
电话咨询:15001035132 (微信同号)
QQ咨询:1455341287(您将在第一时间得到回复,添加时请备注“CCNML 2023”)
Last updated by Mauro Peart in 2023-05-31
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