首页|Researchers from Polytechnic University Milan Detail Findings in Machine Learnin g (Radiometric Estimation of Tropospheric Attenuation: a Mixed Physically Based/ machine Learning Approach)
Researchers from Polytechnic University Milan Detail Findings in Machine Learnin g (Radiometric Estimation of Tropospheric Attenuation: a Mixed Physically Based/ machine Learning Approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting originating from Milan, Italy, by NewsRx correspondents, research stated, “A mixed physically based/machine learning (ML ) approach to measure tropospheric attenuation A in all-weather conditions by me ans of microwave radiometers (MWRs) is proposed. The key idea is to combine the advantages originating from the accurate radiometric A retrievals, provided by t he well-established Cosmic background (CB) approach in clear-sky conditions, wit h the benefits coming from ML techniques.” Financial support for this research came from European Space Agency (ESA) throug h “WRADCharacterization of W-Band Propagation Channel Through Ground-Based Obse rvations (Expro Plus)” under ESTEC.
MilanItalyEuropeCyborgsEmerging TechnologiesMachine LearningPolytechnic University Milan
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