首页|Researcher at Xinjiang University Releases New Data on Machine Learning (Develop ment and Evaluation of Machine Learning Models for Air-to-Land Temperature Conve rsion Using the Newly Established Kunlun Mountain Gradient Observation System)
Researcher at Xinjiang University Releases New Data on Machine Learning (Develop ment and Evaluation of Machine Learning Models for Air-to-Land Temperature Conve rsion Using the Newly Established Kunlun Mountain Gradient Observation System)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news originating from Urumqi, People’s Repub lic of China, by NewsRx correspondents, research stated, “Mountainous landtypes are characterized by a scarcity of observational data, particularly in remote a reas such as the KunlunMountains, where conventional Automatic Weather Stations (AWSs) typically do not record land surfacetemperature (LST) data.”
Xinjiang UniversityUrumqiPeople’s Re public of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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