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PhyloProfile: dynamic visualization and exploration of multi-layered phylogenetic profiles

Bioinformatics, 2018-09, Vol.34 (17), p.3041-3043

2018

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A robust surrogate data assimilation approach to real-time forecasting using polynomial chaos expansion

Journal of hydrology (Amsterdam), 2021-07, Vol.598, p.126367, Article 126367

2021

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Conserved Gene Microsynteny Unveils Functional Interaction Between Protein Disulfide Isomerase and Rho Guanine-Dissociation Inhibitor Families

Scientific reports, 2017-12, Vol.7 (1), p.17262-18, Article 17262

2017

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Quantification of predictive uncertainty with a metamodel: toward more efficient hydrologic simulations

Stochastic environmental research and risk assessment, 2019-07, Vol.33 (7), p.1453-1476

2019

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A deep learning modeling framework with uncertainty quantification for inflow-outflow predictions for cascade reservoirs

Journal of hydrology (Amsterdam), 2024-02, Vol.629, p.130608, Article 130608

2024

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Closing in on Hydrologic Predictive Accuracy: Combining the Strengths of High‐Fidelity and Physics‐Agnostic Models

Geophysical research letters, 2023-09, Vol.50 (17), p.n/a

2023

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A Novel Modeling Framework for Computationally Efficient and Accurate Real‐Time Ensemble Flood Forecasting With Uncertainty Quantification

Water resources research, 2020-03, Vol.56 (3), p.n/a

2020

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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

Water (Basel), 2024-04, Vol.16 (8), p.1155

2024

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Toward an Efficient Uncertainty Quantification of Streamflow Predictions Using Sparse Polynomial Chaos Expansion

Water (Basel), 2021-01, Vol.13 (2), p.203

2021

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Improving the Accuracy of Dam Inflow Predictions Using a Long Short-Term Memory Network Coupled with Wavelet Transform and Predictor Selection

Mathematics (Basel), 2021-03, Vol.9 (5), p.551

2021

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Investigating the Future Flood and Drought Shifts in the Transboundary Srepok River basin Using CMIP6 Projections

IEEE journal of selected topics in applied earth observations and remote sensing, 2024-01, Vol.17, p.1-16

2024

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Daily station-level records of air temperature, snow depth, and ground temperature in the Northern Hemisphere

Scientific data, 2024-06, Vol.11 (1), p.645-16

2024

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Robust and efficient uncertainty quantification for extreme events that deviate significantly from the training dataset using polynomial chaos-kriging

Journal of hydrology (Amsterdam), 2022-06, Vol.609, p.127716, Article 127716

2022

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UIDS: A Matlab-based urban flood model considering rainfall-induced and surcharge-induced inundations

Environmental modelling & software : with environment data news, 2024-08, Vol.179, p.106132, Article 106132

2024

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Sequencing the Genomes of the First Terrestrial Fungal Lineages: What Have We Learned?

Microorganisms (Basel), 2023-07, Vol.11 (7), p.1830

2023

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Data reformation – A novel data processing technique enhancing machine learning applicability for predicting streamflow extremes

Advances in water resources, 2023-12, Vol.182, p.104569, Article 104569

2023

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Data-Driven Dam Outflow Prediction Using Deep Learning with Simultaneous Selection of Input Predictors and Hyperparameters Using the Bayesian Optimization Algorithm

Water resources management, 2024, Vol.38 (2), p.401-421

2024

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Breaking Down the Computational Barriers to Real‐Time Urban Flood Forecasting

Geophysical research letters, 2021-10, Vol.48 (20), p.n/a

2021

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Multi-step-ahead prediction of water levels using machine learning: A comparative analysis in the Vietnamese Mekong Delta

Vietnam Journal of Earth Sciences, 2024-07, p.468-488

2024

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A Novel Modeling Framework for Computationally Efficient and Accurate Real-Time Ensemble Flood Forecasting With Uncertainty Quantification

Water resources research, 2020-02, Vol.56 (3)

2020

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Enhancing wildfire mapping accuracy using mono-temporal Sentinel-2 data: A novel approach through qualitative and quantitative feature selection with explainable AI

Ecological informatics, 2024-07, Vol.81, p.102601, Article 102601

2024

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Uncertain Benefits of Using Remotely Sensed Evapotranspiration for Streamflow Estimation—Insights From a Randomized, Large-Sample Experiment

Water resources management, 2024-08, Vol.38 (10), p.3819-3835

2024

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Breaking Down the Computational Barriers to Real-Time Urban Flood Forecasting

Geophysical research letters, 2021-09, Vol.48 (20)

2021

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Urban flooding is intensified by outdated design guidelines and a lack of a systems approach

Nature Cities, 2024-09, Vol.1 (10), p.626-627

2024

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Connectivity in urbanscapes can cause unintended flood impacts from stormwater systems

Nature Cities, 2024-08, Vol.1 (10), p.654-664

2024

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PhyloProfile: dynamic visualization and exploration of multi-layered phylogenetic profiles

A robust surrogate data assimilation approach to real-time forecasting using polynomial chaos expansion

Conserved Gene Microsynteny Unveils Functional Interaction Between Protein Disulfide Isomerase and Rho Guanine-Dissociation Inhibitor Families

Quantification of predictive uncertainty with a metamodel: toward more efficient hydrologic simulations

A deep learning modeling framework with uncertainty quantification for inflow-outflow predictions for cascade reservoirs

Closing in on Hydrologic Predictive Accuracy: Combining the Strengths of High‐Fidelity and Physics‐Agnostic Models

A Novel Modeling Framework for Computationally Efficient and Accurate Real‐Time Ensemble Flood Forecasting With Uncertainty Quantification

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

Toward an Efficient Uncertainty Quantification of Streamflow Predictions Using Sparse Polynomial Chaos Expansion

Improving the Accuracy of Dam Inflow Predictions Using a Long Short-Term Memory Network Coupled with Wavelet Transform and Predictor Selection

Investigating the Future Flood and Drought Shifts in the Transboundary Srepok River basin Using CMIP6 Projections

Daily station-level records of air temperature, snow depth, and ground temperature in the Northern Hemisphere

Robust and efficient uncertainty quantification for extreme events that deviate significantly from the training dataset using polynomial chaos-kriging

UIDS: A Matlab-based urban flood model considering rainfall-induced and surcharge-induced inundations

Sequencing the Genomes of the First Terrestrial Fungal Lineages: What Have We Learned?

Data reformation – A novel data processing technique enhancing machine learning applicability for predicting streamflow extremes

Data-Driven Dam Outflow Prediction Using Deep Learning with Simultaneous Selection of Input Predictors and Hyperparameters Using the Bayesian Optimization Algorithm

Breaking Down the Computational Barriers to Real‐Time Urban Flood Forecasting

Multi-step-ahead prediction of water levels using machine learning: A comparative analysis in the Vietnamese Mekong Delta

A Novel Modeling Framework for Computationally Efficient and Accurate Real-Time Ensemble Flood Forecasting With Uncertainty Quantification

Enhancing wildfire mapping accuracy using mono-temporal Sentinel-2 data: A novel approach through qualitative and quantitative feature selection with explainable AI

Uncertain Benefits of Using Remotely Sensed Evapotranspiration for Streamflow Estimation—Insights From a Randomized, Large-Sample Experiment

Breaking Down the Computational Barriers to Real-Time Urban Flood Forecasting

Urban flooding is intensified by outdated design guidelines and a lack of a systems approach

Connectivity in urbanscapes can cause unintended flood impacts from stormwater systems

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