Author:
Patra Sumriti Ranjan,Chu Hone-Jay,Tatas
Funder
National Science and Technology Council
Subject
Earth and Planetary Sciences (miscellaneous),Water Science and Technology
Reference52 articles.
1. Afan, H.A., Ibrahem Ahmed Osman, A., Essam, Y., Ahmed, A.N., Huang, Y.F., Kisi, O., Sherif, M., Sefelnasr, A., Chau, K. wing, El-Shafie, A., 2021, Modeling the fluctuations of groundwater level by employing ensemble deep learning techniques. Eng. Appl. Comput. Fluid Mech. 15, 1420–1439. https://doi.org/10.1080/19942060.2021.1974093.
2. Mapping and predicting subsidence from spatio-temporal regression models of groundwater-drawdown and subsidence observations;Ali;Hydrogeol. J.,2020
3. Estimation of annual groundwater changes from InSAR-derived land subsidence;Ali;Water Environ. J.,2022
4. Forecasting across time series databases using recurrent neural networks on groups of similar series: A clustering approach;Bandara;Expert Syst. Appl.,2020
5. Spatio-temporal data fusion for fine-resolution subsidence estimation;Chu;Environ. Model. Softw.,2021