Robotics & Machine Learning Daily News2024,Issue(Jul.4) :87-88.

Data on Machine Learning Described by Researchers at University of Padua [Regional-scale Spatiotemporal Landslide Probability Assessment Through Machine L earning and Potential Applications for Operational Warning Systems: a Case Study In Kvam ...]

帕多瓦大学研究人员描述的机器学习数据[通过机器学习进行区域尺度时空滑坡概率评估和操作预警系统的潜在应用:Kvam的案例研究...]

Robotics & Machine Learning Daily News2024,Issue(Jul.4) :87-88.

Data on Machine Learning Described by Researchers at University of Padua [Regional-scale Spatiotemporal Landslide Probability Assessment Through Machine L earning and Potential Applications for Operational Warning Systems: a Case Study In Kvam ...]

帕多瓦大学研究人员描述的机器学习数据[通过机器学习进行区域尺度时空滑坡概率评估和操作预警系统的潜在应用:Kvam的案例研究...]

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摘要

由一名新闻记者兼机器人与机器学习每日新闻编辑-研究人员详细介绍了机器学习的新数据。根据NewsRx记者来自意大利帕多瓦的新闻报道,研究表明:“机器学习模型在滑坡易感性制图中的应用是广泛的,但仅限于空间预测。在时空滑坡预测中应用这些技术的潜力在很大程度上尚未得到探索。”这项研究的资助者包括比萨大学地球科学系Degli Studi di Padova大学。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting originating from Padua, Italy, by NewsRx correspondents, research stated, “The use of machine learning models for landsli de susceptibility mapping is widespread but limited to spatial prediction. The p otential of employing these techniques in spatiotemporal landslide forecasting r emains largely unexplored.” Funders for this research include Universit degli Studi di Padova, Department of Earth Sciences of the University of Pisa.

Key words

Padua/Italy/Europe/Cyborgs/Emerging Technologies/Machine Learning/University of Padua

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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