首页|New Machine Learning Study Findings Reported from University of North Carolina C hapel Hill (Predicting Barrier Island Shrub Presence Using Remote Sensing Produc ts and Machine Learning Techniques)
New Machine Learning Study Findings Reported from University of North Carolina C hapel Hill (Predicting Barrier Island Shrub Presence Using Remote Sensing Produc ts and Machine Learning Techniques)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news reporting originating from Chapel Hill, North Carolina, by NewsRx correspondents, research stated, "Barrier islands are highly dynamic coastal landforms that are economically, ecologically, and socie tally important. Woody vegetation located within barrier island interiors can al ter patterns of overwash, leading to periods of periodic-barrier island retreat. " Funders for this research include National Science Foundation (NSF), Preston Jon es and Mary Elizabeth Frances Dean Martin Fellowship Fund from the Department of Earth, Marine and Environmental Sciences at the University of North Carolina at Chapel Hill.
Chapel HillNorth CarolinaUnited Stat esNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningRemote SensingUniversity of North Carolina Chapel Hill
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