首页|Researcher at University of Science Zeroes in on Machine Learning (Flood risk as sessment using machine learning, hydrodynamic modelling, and the analytic hierar chy process)
Researcher at University of Science Zeroes in on Machine Learning (Flood risk as sessment using machine learning, hydrodynamic modelling, and the analytic hierar chy process)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in artific ial intelligence. According to news originatingfrom Hanoi, Vietnam, by NewsRx e ditors, the research stated, “ABSTRACT: The objective of this studywas to devel op a theoretical framework based on machine learning, the hydrodynamic model, an d theanalytic hierarchy process (AHP) to assess the risk of flooding downstream of the Ba River in the PhuYen.”
University of ScienceHanoiVietnamA siaCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
