| Identification of groundwater potential zones in data-scarce mountainous region using explainable machine learning K Dahal, S Sharma, A Shakya, R Talchabhadel, S Adhikari, A Pokharel, ... Journal of Hydrology 627, 130417, 2023 | 6 | 2023 |
| Challenges for a Better Use of Crowdsourcing Information in Climate Emergency Situational Awareness and Early Warning Systems M Kalas, J Ommer, A Shakya, S Vraníc, D Kolokol, T Sabattini Responding to Extreme Weather Events, 141-162, 2024 | 4 | 2024 |
| Estimating terrestrial water storage trends by developing a joint inversion scheme using GRACE and GRACE-FO data S Karimi, A Shakya, R Rietbroek, M Penning de Vries, C van der Tol EGU General Assembly Conference Abstracts, 11918, 2024 | | 2024 |
| Unravelling watershed fluxes to detect emerging changes of the water balance R Rietbroek, S Karimi, A Shakya EGU General Assembly Conference Abstracts, EGU-13524, 2023 | | 2023 |
| Towards developing a generic method for predicting Flow Resistance in Alluvial Rivers using Machine Learning A Shakya, S Giri, T Iwasaki, M Nabi, B Bhattacharya, DP Solomatine AGU Fall Meeting Abstracts 2022, H11J-05, 2022 | | 2022 |
| Climate Change and Karst Aquifers–Methodologies Review J KRSTAJIC, Q YE, J STEYAERT, A SHAKYA International Symposium on Drought and Climate Change 24, 25, 2022 | | 2022 |
| Geospatial Information Knowledge Platform (GeoIKP) for NatureBased Solutions: Recent Progress and a Way Forward SDS Amin Shakya, Milan Kalas, Joy Ommer, Laura Leo Water Security and Climate Change Conference, 2022 | | 2022 |
| Geomorphological considerations for river studies in the Nepali context BB Amin Shakya, Sanjay Giri, Toshiki Iwasaki KEC Conference, 2022 | | 2022 |
| Citizen science landscape in Nepal: A case for a national citizen science repository JLFM Amin Shakya, Nowrina Rahim KEC Conference, 282, 2022 | | 2022 |
| Towards capturing bedform transition: harnessing capabilities of CFD bedform models and machine learning A Shakya, S Giri, T Iwasaki, M Nabi, B Bhattacharya, D Solomatine EGU General Assembly 2022, EGU22-2398, 2022 | | 2022 |
| Recent advances on bedform research and application: Process-based to machine learning S Giri, A Shakya, M Nabi, S Naqshband, T Iwasaki, S Yamaguchi, ... EGU General Assembly Conference Abstracts, EGU21-9017, 2021 | | 2021 |
| Approaches to predict bedform states, associated flow resistance and depth: Physics-based to machine learning A Shakya, S Giri, DC Froehlich, T Iwasaki, S Yamaguchi, M Nabi, ... NCR DAYS 2021: Rivers in an uncertain future, 90-91, 2021 | | 2021 |
Kshitij DahalArizona State University在 asu.edu 的电子邮件经过验证
