OPTIMIZATION OF E-LEARNING AND PERFORMANCE USING IOT AND 6G TECHNOLOGY

Authors

  • A.Balamurugan
  • S Sureshkumar
  • Putta Srivani
  • Melanie Elizabeth Lourens
  • Deema mohammed alsekait

DOI:

https://doi.org/10.47750/pnr.2022.13.S09.060

Keywords:

IoT (Internet of Things), 6G (sixth generation network), ML (Machine Learning), etc.

Abstract

The sixth-generation (6G) has stricter criteria for the online learning capability and high interpretability of taught algorithms. It is anticipated that machine learning would be crucial for making network effective and flexible, however the most promising technologies are frequently considered as secret elements because of their profound designs’ major areas of strength for and. To make AI calculations more reasonable to 6G-empowered web of things (IoT) organizations, the motivation behind this paper is to analyse their translations. This article presents two different ways for acquiring translations: the free technique and the Joint strategy. Probes numerous IoT network datasets exhibit that the recommended techniques produce unrivalled execution regarding the two clarifications and forecasts.

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Published

2022-11-10

How to Cite

A.Balamurugan, S Sureshkumar, Putta Srivani, Melanie Elizabeth Lourens, & Deema mohammed alsekait. (2022). OPTIMIZATION OF E-LEARNING AND PERFORMANCE USING IOT AND 6G TECHNOLOGY. Journal of Pharmaceutical Negative Results, 543–552. https://doi.org/10.47750/pnr.2022.13.S09.060

Issue

Section

Articles