Machine learning algorithms for modeling groundwater level changes in agricultural regions of the United States S Sahoo, TA Russo, J Elliott, I Foster Water Resources Research, 2017 | 384 | 2017 |
Groundwater-level prediction using multiple linear regression and artificial neural network techniques: a comparative assessment S Sahoo, MK Jha Hydrogeology Journal 21 (8), 1865, 2013 | 254 | 2013 |
Efficacy of neural network and genetic algorithm techniques in simulating spatio‐temporal fluctuations of groundwater MK Jha, S Sahoo Hydrological Processes, 2014 | 98 | 2014 |
Pattern recognition in lithology classification: modeling using neural networks, self-organizing maps and genetic algorithms S Sahoo, MK Jha Hydrogeology Journal 25 (2), 311-330, 2017 | 72 | 2017 |
Numerical groundwater-flow modeling to evaluate potential effects of pumping and recharge: implications for sustainable groundwater management in the Mahanadi delta region, India S Sahoo, MK Jha Hydrogeology Journal, 2017 | 52 | 2017 |
Evaluation of GIS-based multicriteria decision analysis and probabilistic modeling for exploring groundwater prospects S Sahoo, MK Jha, N Kumar, VM Chowdary Environmental Earth Sciences 74, 2223-2246, 2015 | 43 | 2015 |
On the statistical forecasting of groundwater levels in unconfined aquifer systems S Sahoo, MK Jha Environmental Earth Sciences 73, 3119-3136, 2015 | 39 | 2015 |
Z‐shaped gate TFET with horizontal pocket for improvement of electrostatic behavior S Sahoo, S Dash, SR Routray, GP Mishra International Journal of Numerical Modelling: Electronic Networks, Devices …, 2021 | 23 | 2021 |
Impact of drain doping engineering on ambipolar and high-frequency performance of ZHP line-TFET S Sahoo, S Dash, SR Routray, GP Mishra Semiconductor Science and Technology 35 (6), 065003, 2020 | 21 | 2020 |
Machine learning algorithms for modeling groundwater level changes in agricultural regions of the US Water Resour Res 53: 3878–3895 S Sahoo, TA Russo, J Elliott, I Foster | 21 | 2017 |
Comment on “Quantifying renewable groundwater stress with GRACE” by Alexandra S. Richey et al. S Sahoo, T Russo, U Lall Water Resources Research 52 (5), 4184-4187, 2016 | 18 | 2016 |
Simulation-optimization for conjunctive water resources management and optimal crop planning in Kushabhadra-Bhargavi river delta of Eastern India MK Jha, RC Peralta, S Sahoo International Journal of Environmental Research and Public Health 17 (10), 3521, 2020 | 13 | 2020 |
Analysis of spatial variation of groundwater depths using geostatistical modeling S Sahoo, MK Jha International Journal of Applied Engineering Research 9 (3), 317-322, 2014 | 11 | 2014 |
Performance improvement of heterojunction double gate TFET with gaussian doping S Sahoo, S Dash, SR Routray, GP Mishra Silicon 13, 4275-4283, 2021 | 10 | 2021 |
A new Z-shaped gate line tunnel FET with improved electrostatic performance S Sahoo, S Dash, SR Routray, GP Mishra Iranian Journal of Science and Technology, Transactions of Electrical …, 2021 | 9 | 2021 |
Tunneling path based analytical drain current model for double gate Tunnel FET (DG-TFET) S Sahoo, S Panda, GP Mishra, S Dash 2016 International Conference on Emerging Trends in Electrical Electronics …, 2016 | 4 | 2016 |
Assessment of Groundwater Resources and Simulation-Optimization Modeling in Deltaic Aquifer Systems S Sahoo Ph. D. dissertation, Agricultural and Food Engineering Department, Indian …, 2015 | 3 | 2015 |
Comparison of intubating conditions of rocuronium bromide and vecuronium bromide in thyroid surgery using train of four AK Mohanty, R Mohanty, SS Routray, S Sahoo JMSCR 7, 104-10, 2018 | 2 | 2018 |
Predição dos níveis de água subterrânea usando técnicas de regressão linear múltipla e redes neuronais artificiais: uma avaliação comparativa S Sahoo, MK Jha Hydrogeology Journal 21, 1865-1887, 2013 | 2 | 2013 |
Hydrologic and hydrogeologic analyses of an alluvial aquifer underlying Kushabhadra-Bhargavi River basin, Odisha, India AK Nayak, S Sahoo, MK Jha, SM Pingale Arabian Journal of Geosciences 9, 1-14, 2016 | 1 | 2016 |