首页|Studies from Department of Geography in the Area of Machine Learning Reported (M odeling Wetland Habitat Quality In the Rarh Tract of Eastern India)
Studies from Department of Geography in the Area of Machine Learning Reported (M odeling Wetland Habitat Quality In the Rarh Tract of Eastern India)
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Current study results on Machine Learn ing have been published. According to news reporting from West Bengal, India, by NewsRx journalists, research stated, "Along with wetland loss, wetland habitat quality degradation is a growing concern that requires immediate attention. The current study aimed to assess the Wetland Habitat Quality State (WHQS) of Rarh r egion, Murshidabad, West Bengal." The news correspondents obtained a quote from the research from the Department o f Geography, "WHQS used a total of seventeen metrics, including water quality, h ydrology, and landscape composition. Machine learning techniques such as ANN, SV M, RF, BAGGING, and REP-TREE were used to model WHQS. The effectiveness of the m odels was evaluated using statistical techniques such as the Receiver operating characteristics (ROC) curve. According to machine learning models, 6% of the area fall under very weak habitat quality zones in 1990 which increased b y 15%, 26%, 41% in 2000, 2010 and 2020, respectively. Very strong portions of wetland area have been decreased from 32.7 4% in 1990 to 20.72% in 2020."
West BengalIndiaAsiaCyborgsEmerg ing TechnologiesMachine LearningDepartment of Geography
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