Robotics & Machine Learning Daily News2024,Issue(Nov.8) :40-41.

Researchers at University of Twente Report New Data on Machine Learning (Space-t ime Modeling of Cascading Hazards: Chaining Wildfires, Rainfall and Landslide Ev ents Through Machine Learning)

特文特大学的研究人员报告了机器的新数据学习(级联危险的空间-时间建模:链接野火、降雨和滑坡通过机器学习

Robotics & Machine Learning Daily News2024,Issue(Nov.8) :40-41.

Researchers at University of Twente Report New Data on Machine Learning (Space-t ime Modeling of Cascading Hazards: Chaining Wildfires, Rainfall and Landslide Ev ents Through Machine Learning)

特文特大学的研究人员报告了机器的新数据学习(级联危险的空间-时间建模:链接野火、降雨和滑坡通过机器学习

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-关于机器学习的详细数据已经呈现。根据新闻报道由News Rx记者从荷兰恩施德报道,研究称:“目前的研究旨在探索经常受火灾影响的斜坡的年度L和滑动敏感性动态。为此,每年两次已经编制了一份清单,一份是山体滑坡,另一份是野火,面积约为2平方公里2,为期24年。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingfrom Enschede, Netherlands, by News Rx journalists, research stated, “The current study sets out toexplore yearly l andslide susceptibility dynamics on slopes regularly affected by fires. To do so , two yearlyinventories have been generated, one for the landslides and one for the wildfires, for an area of approximately2 km2 2 and for a period of 24 year s.”

Key words

Enschede/Netherlands/Europe/Cyborgs/Emerging Technologies/Machine Learning/University of Twente

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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