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Updated: Sep 10, 2025

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
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数値シミュレーションと機械学習を組み合わせて,ゴミの流れの危険をマッピングする

Ruiyuan Gao1, Ang Wang2, Hailiang Liu3

  • 1Civil Engineering and Construction Center, Huanghe Science and Technology University, Zhengzhou, 450063, China. gry@hhstu.edu.cn.

Scientific reports
|August 21, 2025
PubMed
まとめ

この研究では,機械学習と数値シミュレーションを組み合わせた,より速いゴミの流れの危険マッピング (DFHM) 方法が導入されています. この新しいアプローチは,危険性評価を大幅に速め,大規模なマッピングのためのより効率的な解決策を提供します.

キーワード:
破片の流れリスク評価機械学習数値分析

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