Cfp: International Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication by NIT Tiruchirappalli [June 22-24; Hybrid Mode]: Submit by April 30

Online Submissions are invited for International Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication by NIT Tiruchirappalli. The last date for submission is April 30.

The National Institute of Technology (formerly known as Regional Engineering College) Tiruchirappalli, situated in the heart of Tamil Nadu on the banks of the river Cauvery, was started as a joint and cooperative venture of the Government of India and the Government of Tamil Nadu during 1964 with a view to catering to the needs of man-power in technology for the Country.

Due to the availability of high-speed computing systems, there is a huge scope to still raise the standard of wireless communication in terms of massive connectivity, capacity enhancement, ultra-high reliability, and low latency using Machine learning (ML), Deep learning (DL) and Computational intelligence (CI) algorithms. The conference aims in bringing out the wireless research community and machine learning research community to submit their findings integrating ML, DL, and CI for wireless communication. About 50 top-quality papers are expected to be presented in the Hybrid mode and are planned to publish presented papers as the book in the series Signals and communication technology (published by Springer).

Mathematical foundations for Wireless communication and Machine Learning (With illustration using Matlab).

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Deep Learning based RF Signal Classification: Hands-on.

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Phase I: Last date for paper submission: March 30, 2023.
Review status notification: April 30, 2023.
Phase II: Last date for paper submission: April 30, 2023 (Hard deadline).
Review status notification: May 30, 2023.

Interested candidates can apply through this link.

Click Here for Workshop Registrations.

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Click here to view the official details of the International Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication by NIT Tiruchirappalli.