首页|New Findings from Department of Geography Update Understanding of Machine Learni ng (Effects of Fragmentation Characters On Wetland Hydrological Changes In Rarh Region, West Bengal, India)
New Findings from Department of Geography Update Understanding of Machine Learni ng (Effects of Fragmentation Characters On Wetland Hydrological Changes In Rarh Region, West Bengal, India)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Machine Learning are pre sented in a new report. According to news reporting originating from West Bengal , India, by NewsRx correspondents, research stated, "The current study aims to q uantify the relationship between hydrological richness in river and riparian wet land habitats and fragmentation analysis. Eight relevant parameters, such as the frequency of water presence, hydroperiod, and proximity to the river, have bee n incorporated into four models-two statistical models (Shannon entropy and Logi stic Regression) and two machine learning models (artificial neural network and random forest)-in order to investigate wetland hydrological richness." Our news editors obtained a quote from the research from the Department of Geogr aphy, "The models are evaluated using statistical techniques such as ROC curves, and field-based validation is also performed. The information about the best-pe rforming models (random forest for machine learning and logistic regression for statistical models) is valuable for understanding the predictive capabilities of the models applied. RF model identified 168.43 km2, 110.91 km2, 70.13 km2, and 39.15 km2 areas as having very rich and rich water richness zones in 1990, 2000, 2010, and 2020, respectively. The percentage of poor and very poor areas has ra pidly increased from 29.7% in 1990 to 55.35% in 2020 . Additionally, the relationship between wetland fragmentation and hydrological richness is assessed. Wetland fragmentation and shrinking core areas due to anth ropogenic intrusion significantly impact the hydrological richness of wetlands. This study will provide important insights into the changing state of wetlands o ver time, especially concerning the impact of anthropogenic activities on hydrol ogical richness."
West BengalIndiaAsiaCyborgsEmerg ing TechnologiesMachine LearningDepartment of Geography
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