Enhancing groundwater vulnerability assessment: Comparative study of three machine learning models and five classification schemes for Cuddalore district-论文-万方医学网

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Enhancing groundwater vulnerability assessment: Comparative study of three machine learning models and five classification schemes for Cuddalore district

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作者： Saravanan Subbarayan ^[1,2] ; Saranya Thiyagarajan ^[3] ; Shankar Karuppannan ^[4] ; Balamurugan Panneerselvam

作者单位： Department of Applied Geology, School of Applied Natural Sciences, Adama Science and Technology University, Adama, Ethiopia ^[1] Department of Research Analytics, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, India ^[2] Department of Civil Engineering, National Institute of Technology, Tiruchirappalli, India ^[3] Center of Excellence in Interdisciplinary Research for Sustainable Development, Faculty of Engineering, Chulalongkorn University, Thailand ^[4]

关键词 Groundwater vulnerability Optimized DRASTIC Climate change impact Machine learning Multi-class classification

发布时间 2024-04-17

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