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    Tropospheric Ducting: A Comprehensive Review and Machine Learning-Based Classification Advancements by Mohammed Banafaa, Ali Hussein Muqaibel

    Published 2025-01-01
    “…To enhance the classification of anomalous propagation in the troposphere, including ducting, we develop machine learning models based on real-world data obtained from King Fahd University of Petroleum and Minerals (KFUPM). Our findings demonstrate that machine learning models, particularly support vector machines, can effectively classify ducting conditions, offering superior predictive performance compared to other models. …”
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