Machine Learning Analysis of Atmospheric Effects on Electromagnetic Wave Propagation in the UAE

This study aims to explore the impact of atmospheric conditions on electromagnetic wave propagation in the United Arab Emirates (UAE) using machine learning techniques. The UAE region was chosen due to the limited research availability on adverse weather conditions on wave propagation, hindering the effective operation of wave technologies. The study uses data analytics techniques, MATLAB and Python, and artificial intelligence to analyze tropospheric forecasts, correlate information with radar system and weather data, and handle radar datasets. The research aims to enhance tracking technologies and validate models for predicting total path loss and loss of weather parameters.