Data on Machine Learning Reported by Researchers at Jamia Millia Islamia (Effect iveness of Hybrid Ensemble Machine Learning Models for Landslide Susceptibility Analysis: Evidence From Shimla District of North-west Indian Himalayan Region)

Robotics & Machine Learning Daily News2024，Issue(Oct.2) ：20-21.

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Data on Machine Learning Reported by Researchers at Jamia Millia Islamia (Effect iveness of Hybrid Ensemble Machine Learning Models for Landslide Susceptibility Analysis: Evidence From Shimla District of North-west Indian Himalayan Region)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting out of New Delhi, India, by NewsRx editors, research stated, “The Indian Himalayan region is frequently experiencin g climate change-induced landslides. Thus, landslide susceptibility assessment a ssumes greater significance for lessening the impact of a landslide hazard.” Financial supporters for this research include Indian Council of Social Science Research (ICSSR), New Delhi, United States Geological Survey.

Key words

New Delhi/India/Asia/Cyborgs/Emergin g Technologies/Machine Learning/Jamia Millia Islamia

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出版年

2024

Robotics & Machine Learning Daily News

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