首页|Reports from Beijing Normal University Advance Knowledge in Machine Learning (Id entifying Landscape Features Within Upland Thermo-erosion Gullies On the Tibetan Plateau Via Uav-based Machine Learning)
Reports from Beijing Normal University Advance Knowledge in Machine Learning (Id entifying Landscape Features Within Upland Thermo-erosion Gullies On the Tibetan Plateau Via Uav-based Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reporting originating from Beijing, People’s R epublic of China, by NewsRx correspondents, research stated,“PurposeThermo-eros ion gullies (TGs) are the most typical thermokarst feature in the upland permafrost of the Tibetan Plateau. Accurate identification of all major landscapes with in TGs over space areimportant for permafrost stability, and the stage division s for TGs are still a research gap due to thecomplexity of landscape distributi ons and their difficulty in being detected by satellites.”
BeijingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningBeijing Normal University
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