Studies from University of Tanjungpura Describe New Findings in Machine Learning (Flood Impact Assessment In Remote Areas Using Machine Learning, Sar, and Gis: a Case Study of Ngabang District, Indonesia)

Tanjungpura大学的研究描述了机器学习的新发现（使用机器学习、Sar和Gis进行偏远地区洪水影响评估：印度尼西亚Ngabang地区的案例研究）

Robotics & Machine Learning Daily News2024，Issue(Dec.4) ：22-22.

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Studies from University of Tanjungpura Describe New Findings in Machine Learning (Flood Impact Assessment In Remote Areas Using Machine Learning, Sar, and Gis: a Case Study of Ngabang District, Indonesia)

Tanjungpura大学的研究描述了机器学习的新发现（使用机器学习、Sar和Gis进行偏远地区洪水影响评估：印度尼西亚Ngabang地区的案例研究）

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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NewsRx记者发源于印度尼西亚Pontianak的研究称，“偏远地区的洪水泛滥”由于数据稀缺，影响评估和监测工作复杂化，提出了重大挑战。这项研究描绘了在这种情况下确定洪水影响的综合方法。

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 reportingoriginating in Pontianak, Indonesia , by NewsRx journalists, research stated, “Flooding in remote regionspresents s ignificant challenges due to data scarcity, complicating impact assessment and m itigation efforts.This research delineates an integrated methodology for quanti fying flood impacts in such contexts.”

Key words

Pontianak/Indonesia/Asia/Asia/Cyborg s/Emerging Technologies/Indonesia/Machine Learning/University of Tanjungpura

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出版年

2024

Robotics & Machine Learning Daily News

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