Accelerating regional-scale groundwater flow simulations with a hybrid deep neural network model incorporating mixed input types: A case study of the northeast Qatar aquifer

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

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EX-QNRF-NPRPS-29: Combining Dynamic Storage and Recovery Techniques with the Use of Smart Water Metering for the Multi-Period Aquifers Management in Qatar
Govindan, R. (Lead Principal Investigator), Rahmat Gul, H. B. (Post Doctoral Fellow), Associate-1, R. (Research Associate), Associate-2, R. (Research Associate), Associate-3, R. (Research Associate), Al-Maktoumi, D. A. (Principal Investigator), Xiao, P. D. (Principal Investigator) & Zekri, P. S. (Principal Investigator)
19/04/21 → 19/10/24
Project: Applied Research

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