3rd International conference on AI, Machine Learning in Communications and Networks (AIMLNET 2023)

October 21 ~ 22, 2023, Sydney, Australia

Hybrid -- Registered authors can present their work online or face to face New 

Scope & Topics  Program Schedule


3rd International conference on AI, Machine Learning in Communications and Networks (AIMLNET 2023) 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:



Paper Submission

Authors are invited to submit papers through the conference Submission System by Closed.

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).


Courtesy

Invited Talk

Supported by

Proceedings

Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC Digital Library 

Speakers


Miya Nakajima

Gunma University

Japan 

Yoshiaki YASUMURA

Shibaura Institute of Technology

Japan 

Linfeng Jiang

China University of Geosciences

China 

Julia Koifman

Israel 

Takanori Asano

Shibaura Institute of Technology

Japan 

            Top 5 Papers


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