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    Experimental Machine Learning Approach for Optical Turbulence and FSO Outage Performance Modeling by Antonios Lionis, Antonios Sklavounos, Argyris Stassinakis, Keith Cohn, Andreas Tsigopoulos, Kostas Peppas, Konstantinos Aidinis, Hector Nistazakis

    Published 2023-01-01
    “…A single neural network (ANN), a random forest (RF), a decision tree (DT), a gradient boosting regressor (GBR), a k-nearest neighbors (KNN) and a deep neural network (DNN) model are applied to estimate <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msubsup><mi>C</mi><mi>n</mi><mn>2</mn></msubsup></mrow></semantics></math></inline-formula> from experimentally measured macroscopic meteorological parameters obtained from several devices installed at the Naval Postgraduate School (NPS) campus over a period of 11 months. …”
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