| Prediction of groundwater quality using efficient machine learning technique S Singha, S Pasupuleti, SS Singha, R Singh, S Kumar Chemosphere 276, 130265, 2021 | 176 | 2021 |
| Effectiveness of groundwater heavy metal pollution indices studies by deep-learning S Singha, S Pasupuleti, SS Singha, S Kumar Journal of Contaminant Hydrology 235, 103718, 2020 | 47 | 2020 |
| A GIS-based modified DRASTIC approach for geospatial modeling of groundwater vulnerability and pollution risk mapping in Korba district, Central India SS Singha, S Pasupuleti, S Singha, R Singh, AS Venkatesh Environmental Earth Sciences 78, 1-19, 2019 | 37 | 2019 |
| Assessing ground water quality using GIS S Singha, CP Devatha, S Singha, MK Verma Int. J. of Eng. Res. & Technol 4 (11), 2015 | 33 | 2015 |
| Analytic network process based approach for delineation of groundwater potential zones in Korba district, Central India using remote sensing and GIS SS Singha, S Pasupuleti, S Singha, R Singh, AS Venkatesh Geocarto International 36 (13), 1489-1511, 2021 | 28 | 2021 |
| Groundwater characterization and non-carcinogenic and carcinogenic health risk assessment of nitrate exposure in the Mahanadi River Basin of India S Pasupuleti, SS Singha, S Singha, S Kumar, R Singh, I Dhada Journal of Environmental Management 319, 115746, 2022 | 23 | 2022 |
| An integrated approach for evaluation of groundwater quality in Korba district, Chhattisgarh using Geomatic techniques S Singha, S Pasupuleti, VGK Villuri Journal of Environmental Biology 38 (5), 865, 2017 | 21 | 2017 |
| A fuzzy geospatial approach for delineation of groundwater potential zones in Raipur district, India S Singha, P Das, SS Singha Groundwater for sustainable development 12, 100529, 2021 | 18 | 2021 |
| An analytical hierarchy process-based geospatial modeling for delineation of potential anthropogenic contamination zones of groundwater from Arang block of Raipur district … S Singha, S Pasupuleti, KS Durbha, SS Singha, R Singh, AS Venkatesh Environmental earth sciences 78, 1-19, 2019 | 16 | 2019 |
| Hydrogeochemical modeling based approach for evaluation of groundwater suitability for irrigational use in Korba district, Chhattisgarh, Central India SS Singha, S Pasupuleti SN Applied Sciences 2, 1-13, 2020 | 14 | 2020 |
| Delineation of groundwater prospect zones in Arang block, Raipur district, Chhattisgarh, Central India, using analytical network process S Singha, S Pasupuleti Journal of the Geological Society of India 95 (6), 609-615, 2020 | 14 | 2020 |
| Study on predicting compressive strength of concrete using supervised machine learning techniques BV Varma, EV Prasad, S Singha Asian Journal of Civil Engineering 24 (7), 2549-2560, 2023 | 7 | 2023 |
| Delineation of groundwater potential zones utilising geospatial techniques in Kadiri watershed of Anantapur district, Andhra Pradesh, India S Pasupuleti, DK Sandilya, S Singha, SS Singha, S Saha Journal of Environmental Biology 40 (1), 61-68, 2019 | 7 | 2019 |
| Knowledge-driven and machine learning decision tree-based approach for assessment of geospatial variation of groundwater quality around coal mining regions, Korba district … SS Singha, S Singha, S Pasupuleti, AS Venkatesh Environmental Earth Sciences 81 (2), 36, 2022 | 5 | 2022 |
| A knowledge-driven multi-criteria decision making-Analytical Hierarchy Process based geospatial modeling for the delineation of fluoride contamination zones in groundwater … S Kumar, S Singha, R Singh, AS Venkatesh, U Gogoi Groundwater for Sustainable Development 18, 100795, 2022 | 3 | 2022 |
| Geospatial delineation of flood susceptible zones using analytical hierarchy process RK Singh, SS Singha, S Singha, S Pasupuleti, VGK Villuri IOP Conference Series: Earth and Environmental Science 1280 (1), 012052, 2023 | | 2023 |
| EVALUATION OF GROUNDWATER PLETION SCENARIO IN BALODABAZAR BALODABAZAR, CHHATTISGARH INDIA S Singha, SS Singha International Journal of Civil Engineering 8 (6), 2017 | | 2017 |
| Using MODFLOW and GIS to Assess the Changes to the Groundwater System due to Mining Activity S Singha, SS Singha, MK Verma | | |
