| |
Author |
Title |
Year |
Publication |
Volume |
Pages |
Links |
|
|
Etschmann, B.; Liu, W.; Li, K.; Dai, S.; Reith, F.; Falconer, D.; Kerr, G.; Paterson, D.; Howard, D.; Kappen, P.; Wykes, J.; Brugger, J. |
Enrichment of germanium and associated arsenic and tungsten in coal and roll-front uranium deposits |
2017 |
Chemical Geology |
463 |
29-49 |
|
|
|
Kumar, V.; Setia, R.; Pandita, S.; Singh, S.; Mitran, T. |
Assessment of U and As in groundwater of India: A meta-analysis |
2022 |
Chemosphere |
303 |
135199 |
|
|
|
Aderemi, B.A.; Olwal, T.O.; Ndambuki, J.M.; Rwanga, S.S. |
Groundwater levels forecasting using machine learning models: A case study of the groundwater region 10 at Karst Belt, South Africa |
2023 |
Systems and Soft Computing |
5 |
200049 |
|
|
|
Jaireth, S.; Roach, I.C.; Bastrakov, E.; Liu, S. |
Basin-related uranium mineral systems in Australia: A review of critical features |
2016 |
Ore Geology Reviews |
76 |
360-394 |
|
|
|
Singh, A.; Patel, S.; Bhadani, V.; Kumar, V.; Gaurav, K. |
AutoML-GWL: Automated machine learning model for the prediction of groundwater level |
2024 |
Engineering Applications of Artificial Intelligence |
127 |
107405 |
|
