Path loss prediction in tropical regions using machine learning techniques: a case study

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• who: Oluwole John Famoriji and Thokozani Shongwe from the Department of Electrical and Electronic Engineering Technology, University of Johannesburg, Auckland Park, Johannesburg POBox, South Africa have published the research: Path Loss Prediction in Tropical Regions using Machine Learning Techniques: A Case Study, in the Journal: Electronics 2022, 11, 2711. of 29/08/2022
• what: In this article, the feasibility of various machine_learning algorithms for path loss prediction in tropical regions is evaluated. The novelties and contributions of this article are as summarized below. (a) (b) (c) Experimental field strength measurement campaign was conducted in a . . .
  

   

  

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