| Breaking down the computational barriers to real‐time urban flood forecasting VY Ivanov, D Xu, MC Dwelle, K Sargsyan, DB Wright, N Katopodes, J Kim, ... Geophysical Research Letters 48 (20), e2021GL093585, 2021 | 35 | 2021 |
| Improving the accuracy of dam inflow predictions using a long short-term memory network coupled with wavelet transform and predictor selection TD Tran, VN Tran, J Kim Mathematics 9 (5), 551, 2021 | 25 | 2021 |
| A novel modeling framework for computationally efficient and accurate real‐time ensemble flood forecasting with uncertainty quantification VN Tran, MC Dwelle, K Sargsyan, VY Ivanov, J Kim Water Resources Research 56 (3), e2019WR025727, 2020 | 22 | 2020 |
| Quantification of predictive uncertainty with a metamodel: Toward more efficient hydrologic simulations VN Tran, J Kim Stochastic Environmental Research and Risk Assessment 33, 1453-1476, 2019 | 20 | 2019 |
| Robust and efficient uncertainty quantification for extreme events that deviate significantly from the training dataset using polynomial chaos-kriging VN Tran, J Kim Journal of Hydrology 609, 127716, 2022 | 19 | 2022 |
| A robust surrogate data assimilation approach to real-time forecasting using polynomial chaos expansion VN Tran, J Kim Journal of Hydrology 598, 126367, 2021 | 10 | 2021 |
| Investigating the Future Flood and Drought Shifts in the Transboundary Srepok River Basin Using CMIP6 Projections SK Do, BQ Nguyen, VN Tran, M Grodzka-Łukaszewska, G Sinicyn, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024 | 7 | 2024 |
| Toward an efficient uncertainty quantification of streamflow predictions using sparse polynomial chaos expansion VN Tran, J Kim Water 13 (2), 203, 2021 | 6 | 2021 |
| Data reformation–A novel data processing technique enhancing machine learning applicability for predicting streamflow extremes VN Tran, VY Ivanov, J Kim Advances in Water Resources 182, 104569, 2023 | 5 | 2023 |
| Closing in on Hydrologic Predictive Accuracy: Combining the Strengths of High‐Fidelity and Physics‐Agnostic Models VN Tran, VY Ivanov, D Xu, J Kim Geophysical Research Letters 50 (17), e2023GL104464, 2023 | 5 | 2023 |
| A deep learning modeling framework with uncertainty quantification for inflow-outflow predictions for cascade reservoirs VN Tran, VY Ivanov, GT Nguyen, TN Anh, PH Nguyen, DH Kim, J Kim Journal of Hydrology 629, 130608, 2024 | 4 | 2024 |
| Study on sediment regime changes in downstream of the Ba River, Vietnam under the impact of reservoirs system TG Nguyen, TT Hoang, NV Tran, DHB Pham, DQ Vu VNU Journal of Science: Earth and Environmental Sciences 33 (4), 2017 | 3 | 2017 |
| Application of remote sensing and GIS in assessment of driving forces of Da Dien estuary change: A case study in Phu Yen, Vietnam DHB Pham, TG Nguyen, NA Tran, NV Tran, B Quang-Thanh, TT Hoang Proceedings of the 8th Asia–Pacific Workshop on Marine Hydrodynamics …, 2016 | 3 | 2016 |
| Data-Driven Dam Outflow Prediction using deep learning with simultaneous selection of Input predictors and hyperparameters using the bayesian optimization algorithm VN Tran, DD Dinh, BDH Pham, KD Dang, TN Anh, HN Ngoc, GT Nguyen Water Resources Management 38 (2), 401-421, 2024 | 2 | 2024 |
| Hydrodynamics and Short-Term Morphological Change in The Estuaries of Phu Yen Province, Vietnam CK Nguyen, GT Nguyen, AN Tran, DD Dang, VN Tran The 8th Asia-Pacific Workshop on Marine Hydrodynamics in Naval Architecture …, 2016 | 2 | 2016 |
| Temporal Changes in Water and Sediment Discharges: Impacts of Climate Change and Human Activities in the Red River Basin (1958–2021) with Projections up to 2100 QH Nguyen, VN Tran Water 16 (8), 1155, 2024 | 1 | 2024 |
| Multi-step-ahead prediction of water levels using machine learning: A comparative analysis in the Vietnamese Mekong Delta HN Duc, GN Tien, HN Xuan, VT Ngoc, DN Huu Vietnam Journal of Earth Sciences, 468-488, 2024 | | 2024 |
| UIDS: A Matlab-based Urban Flood Model Considering Rainfall-induced and Surcharge-induced Inundations VN Tran, J Kim Environmental Modelling & Software, 106132, 2024 | | 2024 |
| Enhancing wildfire mapping accuracy using mono-temporal Sentinel-2 data: A novel approach through qualitative and quantitative feature selection with explainable AI LN Van, VN Tran, GV Nguyen, M Yeon, MTT Do, G Lee Ecological Informatics 81, 102601, 2024 | | 2024 |
| Daily station-level records of air temperature, snow depth, and ground temperature in the Northern Hemisphere VN Tran, W Zhou, T Kim, V Mazepa, V Valdayskikh, VY Ivanov Scientific Data 11 (1), 645, 2024 | | 2024 |
Jongho KimUniversity of Ulsan在 ulsan.ac.kr 的电子邮件经过验证
