Application of bagging and boosting ensemble machine learning techniques for groundwater potential mapping in a drought-prone agriculture region of eastern India
Krishnagopal Halder(Indian Institute of Technology Roorkee), Md Kamrul Islam(King Faisal University), Anitabha Ghosh(Vidyasagar University), Edris Alam(University of Chittagong), Wenzhi Zeng(Hohai University), Dipak Bisai(Vidyasagar University), Subodh Chandra Pal(University of Burdwan), Thomas Gaiser(University of Bonn), Frank Ewert(Harvard University), Uday Chatterjee(Vidyasagar University), Amit Kumar Srivastava(University of Bonn), Chaitanya Baliram Pande(Indian Institute of Tropical Meteorology), Subrata Pan, Ranajit Nabik, Abu Reza Md. Towfiqul Islam(Begum Rokeya University)
Cited by 36
Related Papers
Ecosystem Service Supply and Vulnerability to Global Change in Europe
|Science|2005|1.7k
A comprehensive review of heavy metal pollution in the coastal areas of Bangladesh: abundance, bioaccumulation, health implications, and challenges
|Environmental Science and Pollution Research|2022|134
Hydro-chemical assessment of fluoride and nitrate in groundwater from east and west coasts of Bangladesh and India
|Journal of Cleaner Production|2022|122
Green synthesis of gold nanoparticles using Gracilaria crassa leaf extract and their ecotoxicological potential: Issues to be considered
|Environmental Research|2022|74
Exploring a GIS-based analytic hierarchy process for spatial flood risk assessment in Egypt: a case study of the Damietta branch
|Environmental Sciences Europe|2024|58