Robotics & Machine Learning Daily News2024,Issue(Nov.20) :51-51.

Northeast Normal University Reports Findings in Machine Learning (Leveraging GIS -based AHP, remote sensing, and machine learning for susceptibility assessment o f different flood types in peshawar, Pakistan)

东北师范大学报告了机器学习的发现(利用基于GIS的AHP、遥感和机器学习对巴基斯坦白沙瓦不同洪水类型的敏感性评估)

Robotics & Machine Learning Daily News2024,Issue(Nov.20) :51-51.

Northeast Normal University Reports Findings in Machine Learning (Leveraging GIS -based AHP, remote sensing, and machine learning for susceptibility assessment o f different flood types in peshawar, Pakistan)

东北师范大学报告了机器学习的发现(利用基于GIS的AHP、遥感和机器学习对巴基斯坦白沙瓦不同洪水类型的敏感性评估)

扫码查看

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-机器学习的新研究是一篇报道的主题。据新闻报道NewsRx编辑从长春发回的《中国人民日报》报道称,“由于其由于地形多样,巴基斯坦每年都面临不同类型的洪水,造成大量的物理、环境和社会经济损害。然而,特定地区对不同洪水的敏感性类型仍未探索。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting out of Changchun, People’s Re public of China, by NewsRx editors, research stated, “Due to itsdiverse topogra phy, Pakistan faces different types of floods each year, which cause substantial physical,environmental, and socioeconomic damage. However, the susceptibility of specific regions to different floodtypes remains unexplored.”

Key words

Changchun/People’s Republic of China/A sia/Cyborgs/Emerging Technologies/Machine Learning/Remote Sensing

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文