首页|Study Data from University of Louisiana Lafayette Update Knowledge of Artificial Intelligence (Physics-inspired Machine Learning for Radiomap Estimation: Integr ation of Radio Propagation Models and Artificial Intelligence)
Study Data from University of Louisiana Lafayette Update Knowledge of Artificial Intelligence (Physics-inspired Machine Learning for Radiomap Estimation: Integr ation of Radio Propagation Models and Artificial Intelligence)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Artific ial Intelligence. According to news reporting originating from Lafayette, Louisi ana, by NewsRx correspondents, research stated, “Radiomap captures the geometric al distribution of radio frequency signal power. As an important tool to qualita tively and quantitatively describe radio propagation behavior and spectrum occup ancy, radiomap has found broad applications in deployment and configuration of m odern wireless and Internet-of-things networks.” Financial supporters for this research include University of Louisiana at Lafaye tte Research Fund, National Science Foundation (NSF), Johns Hopkins University A pplied Physics Internal Research and Development funds.
LafayetteLouisianaUnited StatesNorth and Central AmericaArtificial IntelligenceCyborgsEmerging TechnologiesMachine LearningUniversity of Louisiana Lafayette
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