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-机器学习的新数据在一份新的报告中呈现。据新闻报道NewsRx记者从印度a的Gauhati报道，研究称，“频繁的洪水已经造成了”成为洪泛区的一个永久支架问题，在每个季节都会造成重大灾难由于灾害管理规划不足。本研究提出了洪水优先排序的方法在地区一级确定易受影响的地区，并采用综合方法确定合适的避洪地点机器学习算法和多标准分析，由地理空间技术支持。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting originating in Gauhati, Indi a, by NewsRx journalists, research stated, “Frequent flooding hasbecome a persi stent issue in floodplain regions, causing significant disasters during each rai ny seasondue to insufficient disaster management planning. This study proposes a methodology to prioritize floodsusceptibility areas at the district level and identify suitable sites for flood shelters using a combination ofmachine learn ing algorithms and multi-criteria analysis, supported by geospatial technology.”
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