Exploration of an innovative draw solution for a forward osmosis-membrane distillation desalination process NC Nguyen, SS Chen, S Jain, HT Nguyen, SS Ray, HH Ngo, W Guo, ... Environmental Science and Pollution Research 25, 5203-5211, 2018 | 37 | 2018 |
Effect of fiber volume and partial replacement of cement by GGBS on flexural strength of SIFCON S Jain, G Kumar International Journal of Engineering Research and Technology 4 (6), 268-269, 2015 | 6 | 2015 |
Free weather forecast and open-source crop modeling for scientific irrigation scheduling: proof of concept A Ajaz, TA Berthold, Q Xue, S Jain, B Masasi, Q Saddique Irrigation Science 42 (2), 179-195, 2024 | 2 | 2024 |
Enhancing prediction and covariate-driven interpretation of stream flow duration curves using Machine Learning algorithms and surrogate model explanations S Jain, D Kathuria, M Schramm, R Srinivasan AGU Fall Meeting Abstracts 2021, H22A-06, 2021 | 2 | 2021 |
Technical Support Document for One Total Maximum Daily Load for Indicator Bacteria in Arenosa Creek S Jain, S Ruff, M Schramm https://www.tceq.texas.gov/assets/public/waterquality/tmdl/108arenosa/108 …, 2020 | 2 | 2020 |
Technical Support Document for One Total Maximum Daily Load for Indicator Bacteria in Lavaca River Above Tidal S Jain, M Schramm https://www.tceq.texas.gov/assets/public/waterquality/tmdl/108lavaca/108-as …, 2021 | 1 | 2021 |
Predicting large wildfires in the Contiguous United States using deep neural networks S Dhal, S Jain, KC Gadepally, P Vijaykumar, U Braga-Neto, BH Sharma, ... Journal of Applied Remote Sensing 18 (2), 028501-028501, 2024 | | 2024 |
Evaluation of Machine Learning Algorithms in Soil Water Content Prediction at Multiple Depths S Jain, S Samanta, SK Himanshu Agri-Tech Approaches for Nutrients and Irrigation Water Management, 127-145, 2024 | | 2024 |
Leveraging Post-Hoc Model Explanations to Gain Hydrological Insights within Machine Learning Models for Predicting Flow Duration Curves S Jain, D Kathuria, R Srinivasan, M Schramm AGU23, 2023 | | 2023 |
Using spatial crop modeling to improve the regional agricultural water planning. Q Saddique, A Ajaz, S Jain EGU General Assembly Conference Abstracts, EGU-4511, 2023 | | 2023 |
Technical Support Document for One Total Maximum Daily Load for Indicator Bacteria in Poesta Creek S Jain, M Schramm https://www.tceq.texas.gov/downloads/water-quality/tmdl/mission-aransas …, 2023 | | 2023 |
Technical Support Document for Five Total Maximum Daily Loads for Indicator Bacteria in the Thompsons Creek Watershed, Texas D Kikoyo, T Jordan, S Jain, M Schramm, L Gregory twri.tamu.edu/media/6171/tr-545.pdf, 2023 | | 2023 |
Sensitivity analysis on inputs to the DisALEXI algorithm using a Machine Learning interpretability method D Kathuria, K Knipper, S Jain, NE Bambach, AJ McElrone, M Anderson, ... AGU Fall Meeting Abstracts 2022, H55A-14, 2022 | | 2022 |
Estimation of Soil Water Content Under Different Conservation Practices Using Supervised Machine Learning Algorithms on Images Collected Using Unpiloted Aerial System S Samanta, S Ale, A Bawa, J Singh, RFS Mvuyekure, PB DeLaune, ... ASA, CSSA, SSSA International Annual Meeting, 2022 | | 2022 |
Large-Scale Geospatial Data Analysis and Visualization in R V Sehgal, S Jain, L Kocian AGU Fall Meeting 2021, 2021 | | 2021 |
Data Visualization and Geospatial Analysis with R V Sehgal, A Lewis, L Kocian, S Jain https://rpubs.com/Vinit_Sehgal/datavizR21, 2021 | | 2021 |
Carancahua Bay Watershed Protection Plan M Schramm, S deVilleneuve, S Jain, A Berthold, U Mohandass https://twri.tamu.edu/publications/technical-reports/2019-technical-reports …, 2019 | | 2019 |
Exploration of an innovative draw solution for a forward osmosis-membrane distillation desalination process. NCN Nguyen Cong Nguyen, CSS Chen ShiaoShing, S Jain, ... | | 2018 |
Scientific Irrigation Scheduling by Utilizing Weather Api and Open Source Modeling in Texas High Plains and Rio Grande Basin A Ajaz, TA Berthold, Q Xue, S Jain, B Masasi Available at SSRN 4104204, 0 | | |