Hydrogeological parameter prediction and mapping of fluoride contamination in India using deep learning models

Thumbnail Image
Files
Abstract.pdf (372.73 KB)
DS1016.pdf (3.09 MB)
Date
2024-05
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Indian Institute of Technology (Indian School of Mines) Dhanbad
Abstract
Description
Keywords
Hydrogeological study, Fluoride contamination mapping, Logarithmic transformation, Deep Neural Network, DIST, DS1016, AGP
Citation
URI
http://hdl.handle.net/123456789/3191
Collections
Saumen Maiti