首页|Data from Fuzhou University Advance Knowledge in Machine Learning (Feature Adapt ation for Landslide Susceptibility Assessment In 'no Sample' Areas)
Data from Fuzhou University Advance Knowledge in Machine Learning (Feature Adapt ation for Landslide Susceptibility Assessment In 'no Sample' Areas)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting originating from Fujian, People’s Re public of China, by NewsRx correspondents, research stated, “Given the time-cons uming nature of compiling landslide inventories, it is increasingly important to develop transferable landslide susceptibility models that can be applied to reg ions without existing data. In this study, we propose a feature-based domain ada ptation method to improve the transferability of landslide susceptibility models , especially in ‘no sample’ areas.” Funders for this research include National Natural Science Foundation of China ( NSFC), Fuzhou University Testing Fund of Precious Apparatus.
FujianPeople's Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningFuzhou University
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