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    International conference on AI, Machine Learning in Communications and Networks (AIMLNET 2021)

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    Website https://aimlnet.org/index | Edit Freely

    Category AI, Machine Learning algorithm & Cognitive Radio Networks; AI, Machine Learning and Cyber Security; AI, Machine learning for Transport Layer Congestion Control; AI, ML for virtualization and SDN; AI, Machine learning in Network applications

    Deadline: October 31, 2021 | Date: December 18, 2021-December 19, 2021

    Venue/Country: Dubai, UAE, United Arab Emirates

    Updated: 2021-10-26 18:52:28 (GMT+9)

    Call For Papers - CFP

    International conference on AI, Machine Learning in Communications and Networks (AIMLNET 2021)

    December 18 ~ 19, 2021, Dubai, UAE

    https://aimlnet.org/index

    SCOPE

    International conference on AI, Machine Learning in Communications and Networks (AIMLNET 2021) 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

    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

    PAPER SUBMISSION

    Authors are invited to submit papers through the conference Submission System by October 31, 2021. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).

    Selected papers from AIMLNET 2021, after further revisions, will be published in the special issue of the following journals

    International Journal of Computer Networks & Communications (IJCNC) ā€“ ERA, Scopus, WJCI Indexed

    International Journal of Network Security & Its Applications (IJNSA) ā€“ ERA, WJCI Indexed

    International Journal of UbiComp (IJU)

    International Journal of Artificial Intelligence & Applications (IJAIA)

    Machine Learning and Applications: An International Journal (MLAIJ)

    International Journal of Mobile Network Communications & Telematics (IJMNCT)

    IMPORTANT DATES

    Submission Deadline : October 31, 2021

    Authors Notification : November 26, 2021

    Registration & Camera-Ready Paper Due : December 04, 2021

    CONTACT US

    Hereā€™s where you can reach us : aimlnet@aimlnet2021.org or aimlnet@yahoo.com


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
    Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.