首页|Research on Machine Learning Reported by a Researcher at University of Maryland (Machine Learning-Based Estimation of Tropical Cyclone Intensity from Advanced Technology Microwave Sounder Using a U-Net Algorithm)
Research on Machine Learning Reported by a Researcher at University of Maryland (Machine Learning-Based Estimation of Tropical Cyclone Intensity from Advanced Technology Microwave Sounder Using a U-Net Algorithm)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Data detailed on artificial intelligence have been presented. According to news reporting out ofCollege Park, Maryland, by NewsRx editors, research stated, “A U-Net algorithm was used to retrievesurface pressure and wind speed over the ocean within tropical cyclones (TCs) and their neighboring areasusing NOAA-20 Advanced Technology Microwave Sounder (ATMS) reprocessed Sensor Data Record (SDR)brightness temperatures (TBs) and geolocation information.”
University of MarylandCollege ParkMarylandUnited StatesNorth and Central AmericaAlgorithmsCyborgsEmerging TechnologiesMachine LearningTechnology