Investigation of machine learning methods for prediction of measured values of atmospheric channel for hybrid fso/rf system

HIGHLIGHTS

• who: Maroš Lapčák and collaborators from the Department of Electronics and Multimedia Communications, Technical University of Košice have published the research: Investigation of Machine Learning Methods for Prediction of Measured Values of Atmospheric Channel for Hybrid FSO/RF System, in the Journal: Photonics 2022, 9, x FOR PEER REVIEW Photonics 2022, 9, 524 of 17/Nov/2020
• what: The RSSI parameter is one of the most important parameters for hybrid FSO/RF
• future: The main one is the consideration of all the possible decision outcomes and the tracking of every possible . . .
  

   

  

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