首页|Findings on Machine Learning Reported by Investigators at Southwest University ( Machine-learning Downscaling of Gpm Satellite Precipitation Products In Mountain ous Regions: a Case Study In Chongqing)

Findings on Machine Learning Reported by Investigators at Southwest University ( Machine-learning Downscaling of Gpm Satellite Precipitation Products In Mountain ous Regions: a Case Study In Chongqing)

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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 outof Chongqing, People’s Republic of China, by NewsRx editors, research stated, “High-quality precipitationdata a re essential for research in hydrology, meteorology and ecology. Nevertheless, i n mountainous regionswith intricate terrain, the reliability of gridded precipi tation data derived from station data interpolationis low due to the limited nu mber of stations caused by the difficulty of station setup.”

ChongqingPeople’s Republic of ChinaA siaCyborgsEmerging TechnologiesMachine LearningSouthwest University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Dec.2)