A Rainfall‐Runoff Model With LSTM‐Based Sequence‐to‐Sequence Learning

Identifying disaster-related tweets and their semantic, spatial and temporal context using deep learning, natural language processing and spatial analysis: a case study of Hurricane Irma

(2019) Muhammed Ali Sit et al.   International Journal of Digital Earth

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

(2019) Markus Reichstein et al.   NATURE

An intelligent system on knowledge generation and communication about flooding

(2018) Yusuf Sermet et al.   ENVIRONMENTAL MODELLING & SOFTWARE

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

Monthly Rainfall-Runoff Modeling at Watershed Scale: A Comparative Study of Data-Driven and Theory-Driven Approaches

(2018) Won Chang et al.   Water

Flood Prediction Using Machine Learning Models: Literature Review

(2018) Amir Mosavi et al.   Water

Deep Learning with a Long Short-Term Memory Networks Approach for Rainfall-Runoff Simulation

(2018) Caihong Hu et al.   Water

Prolongation of SMAP to Spatiotemporally Seamless Coverage of Continental U.S. Using a Deep Learning Neural Network

(2017) Kuai Fang et al.   GEOPHYSICAL RESEARCH LETTERS

Urban flash flood forecast using support vector machine and numerical simulation

(2017) Jun Yan et al.   JOURNAL OF HYDROINFORMATICS

Iowa Statewide Stream Nitrate Load Calculated Using In Situ Sensor Network

(2017) Christopher S. Jones et al.   JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION

Optimization of river network representation data models for web-based systems

(2017) Ibrahim Demir et al.   Earth and Space Science

Support Vector Regression for Rainfall-Runoff Modeling in Urban Drainage: A Comparison with the EPA’s Storm Water Management Model

(2016) Francesco Granata et al.   Water

Modeling water quality in an urban river using hydrological factors – Data driven approaches

(2015) Fi-John Chang et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Data-Enabled Field Experiment Planning, Management, and Research Using Cyberinfrastructure

(2015) Ibrahim Demir et al.   JOURNAL OF HYDROMETEOROLOGY

Deep learning

(2015) Yann LeCun et al.   NATURE

Monthly streamflow forecasting using Gaussian Process Regression

(2014) Alexander Y. Sun et al.   JOURNAL OF HYDROLOGY

Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions

(2010) Holger R. Maier et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Introduction to GPU Computing and CUDA Programming: A Case Study on FDTD [EM Programmer's Notebook

(2010) Danilo De Donno et al.   IEEE ANTENNAS AND PROPAGATION MAGAZINE

Gaussian process regression bootstrapping: exploring the effects of uncertainty in time course data

(2009) Paul D. W. Kirk et al.   BIOINFORMATICS

A hybrid neural network and ARIMA model for water quality time series prediction

(2009) Durdu Ömer Faruk   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE