A novel attention-based LSTM cell post-processor coupled with bayesian optimization for streamflow prediction

Deep‐learning model used to predict thunderstorms within 400 km 2 of south Texas domains

(2020) Hamid Kamangir et al.   METEOROLOGICAL APPLICATIONS

Interpretable spatio-temporal attention LSTM model for flood forecasting

(2020) Yukai Ding et al.   NEUROCOMPUTING

The importance of short lag-time in the runoff forecasting model based on long short-term memory

(2020) Xi Chen et al.   JOURNAL OF HYDROLOGY

Short-term runoff prediction with GRU and LSTM networks without requiring time step optimization during sample generation

(2020) Shuai Gao et al.   JOURNAL OF HYDROLOGY

Compound Inundation Impacts of Coastal Climate Change: Sea-Level Rise, Groundwater Rise, and Coastal Precipitation

(2020) Reyhaneh Rahimi et al.   Water

A Lag-FLSTM deep learning network based on Bayesian Optimization for multi-sequential-variant PM2.5 prediction

(2020) Jun Ma et al.   Sustainable Cities and Society

Forecast of short-term daily reference evapotranspiration under limited meteorological variables using a hybrid bi-directional long short-term memory model (Bi-LSTM)

(2020) Juan Yin et al.   AGRICULTURAL WATER MANAGEMENT

How Groundwater Level Fluctuations and Geotechnical Properties Lead to Asymmetric Subsidence: A PSInSAR Analysis of Land Deformation over a Transit Corridor in the Los Angeles Metropolitan Area

(2019) Mohammad Khorrami et al.   Remote Sensing

Deep learning and process understanding for data-driven Earth system science

(2019) Markus Reichstein et al.   NATURE

A hybrid short-term load forecasting model based on variational mode decomposition and long short-term memory networks considering relevant factors with Bayesian optimization algorithm

(2019) Feifei He et al.   APPLIED ENERGY

A hybrid electricity price forecasting model with Bayesian optimization for German energy exchange

(2019) Hangyang Cheng et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Application of convolutional neural networks featuring Bayesian optimization for landslide susceptibility assessment

(2019) Maher Ibrahim Sameen et al.   CATENA

Video captioning using boosted and parallel Long Short-Term Memory networks

(2019) Masoomeh Nabati et al.   COMPUTER VISION AND IMAGE UNDERSTANDING

Multiscale Postprocessor for Ensemble Streamflow Prediction for Short to Long Ranges

(2019) Babak Alizadeh et al.   JOURNAL OF HYDROMETEOROLOGY

Combining Hydrologic Analysis and Life Cycle Assessment Approaches to Evaluate Sustainability of Water Infrastructure: Uncertainty Analysis

(2019) Hassan Tavakol-Davani et al.   Water

Developing a Long Short-Term Memory (LSTM) based model for predicting water table depth in agricultural areas

(2018) Jianfeng Zhang et al.   JOURNAL OF HYDROLOGY

Exploring the spatio-temporal interrelation between groundwater and surface water by using the self-organizing maps

(2018) I-Ting Chen et al.   JOURNAL OF HYDROLOGY

A trans-disciplinary review of deep learning research and its relevance for water resources scientists

(2018) Chaopeng Shen   WATER RESOURCES RESEARCH

The importance of aspect for modelling the hydrological response in a glacier catchment in Central Asia

(2017) Hongkai Gao et al.   HYDROLOGICAL PROCESSES

A data-driven SVR model for long-term runoff prediction and uncertainty analysis based on the Bayesian framework

(2017) Zhongmin Liang et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Designing Nanostructures for Phonon Transport via Bayesian Optimization

(2017) Shenghong Ju et al.   Physical Review X

Advancing tracer-aided rainfall-runoff modelling: a review of progress, problems and unrealised potential

(2015) Christian Birkel et al.   HYDROLOGICAL PROCESSES

Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review

(2014) Vahid Nourani et al.   JOURNAL OF HYDROLOGY

Patterns of similarity of seasonal water balances: A window into streamflow variability over a range of time scales

(2014) Wouter R. Berghuijs et al.   WATER RESOURCES RESEARCH

The Science of NOAA's Operational Hydrologic Ensemble Forecast Service

(2013) Julie Demargne et al.   BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY

Streamflow prediction using linear genetic programming in comparison with a neuro-wavelet technique

(2013) Ali Danandeh Mehr et al.   JOURNAL OF HYDROLOGY

Hydrologic post-processing of MOPEX streamflow simulations

(2013) Aizhong Ye et al.   JOURNAL OF HYDROLOGY

Towards a comprehensive assessment of model structural adequacy

(2012) Hoshin V. Gupta et al.   WATER RESOURCES RESEARCH

Generation of ensemble precipitation forecast from single-valued quantitative precipitation forecast for hydrologic ensemble prediction

(2011) Limin Wu et al.   JOURNAL OF HYDROLOGY