首页|Report Summarizes Machine Learning Study Findings from Department of Geography ( Assessing Critical Flood-prone Districts and Optimal Shelter Zones In the Brahma putra Valley: Strategies for Effective Flood Risk Management)
Report Summarizes Machine Learning Study Findings from Department of Geography ( Assessing Critical Flood-prone Districts and Optimal Shelter Zones In the Brahma putra Valley: Strategies for Effective Flood Risk Management)
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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.”
GauhatiIndiaAsiaCyborgsEmerging TechnologiesMachine LearningDepartment of Geography
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