Long short-term memory (LSTM) recurrent neural network for low-flow hydrological time series forecasting

Comparison of stochastic and machine learning methods for multi-step ahead forecasting of hydrological processes

(2019) Georgia Papacharalampous et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Predictability of monthly temperature and precipitation using automatic time series forecasting methods

(2018) Georgia Papacharalampous et al.   Acta Geophysica

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

Forecasting groundwater levels using nonlinear autoregressive networks with exogenous input (NARX)

(2018) Andreas Wunsch et al.   JOURNAL OF HYDROLOGY

Use long short-term memory to enhance Internet of Things for combined sewer overflow monitoring

(2018) Duo Zhang et al.   JOURNAL OF HYDROLOGY

Application of the Hybrid Artificial Neural Network Coupled with Rolling Mechanism and Grey Model Algorithms for Streamflow Forecasting Over Multiple Time Horizons

(2018) Zaher Mundher Yaseen et al.   WATER RESOURCES MANAGEMENT

Predictability of monthly temperature and precipitation using automatic time series forecasting methods

(2018) Georgia Papacharalampous et al.   Acta Geophysica

An evaluation of statistical, NMME and hybrid models for drought prediction in China

(2018) Lei Xu et al.   JOURNAL OF HYDROLOGY

Assessment of Environmental Flows from Complexity to Parsimony—Lessons from Lesotho

(2018) Aristoteles Tegos et al.   Water

Application of Support Vector Regression for Modeling Low Flow Time Series

(2018) Bibhuti Bhusan Sahoo et al.   KSCE Journal of Civil Engineering

Univariate Time Series Forecasting of Temperature and Precipitation with a Focus on Machine Learning Algorithms: a Multiple-Case Study from Greece

(2018) Georgia Papacharalampous et al.   WATER RESOURCES MANAGEMENT

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

Monthly Rainfall Forecasting Using Echo State Networks Coupled with Data Preprocessing Methods

(2017) Qi Ouyang et al.   WATER RESOURCES MANAGEMENT

Machine learning algorithms for modeling groundwater level changes in agricultural regions of the U.S.

(2017) S. Sahoo et al.   WATER RESOURCES RESEARCH

Use of a nonstationary copula to predict future bivariate low flow frequency in the Connecticut river basin

(2016) Kuk-Hyun Ahn et al.   HYDROLOGICAL PROCESSES

Predictability in dice motion: how does it differ from hydro-meteorological processes?

(2016) Panayiotis Dimitriadis et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Stream-flow forecasting using extreme learning machines: A case study in a semi-arid region in Iraq

(2016) Zaher Mundher Yaseen et al.   JOURNAL OF HYDROLOGY

Artificial intelligence based models for stream-flow forecasting: 2000–2015

(2015) Zaher Mundher Yaseen et al.   JOURNAL OF HYDROLOGY

Deep learning

(2015) Yann LeCun et al.   NATURE

Climacogram versus autocovariance and power spectrum in stochastic modelling for Markovian and Hurst–Kolmogorov processes

(2015) Panayiotis Dimitriadis et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

A Bayesian statistical model for deriving the predictive distribution of hydroclimatic variables

(2013) Hristos Tyralis et al.   CLIMATE DYNAMICS

Low flows in France and their relationship to large-scale climate indices

(2013) I. Giuntoli et al.   JOURNAL OF HYDROLOGY

A review on the applications of wavelet transform in hydrology time series analysis

(2012) Yan-Fang Sang   ATMOSPHERIC RESEARCH

Identification of appropriate lags and temporal resolutions for low flow indicators in the River Rhine to forecast low flows with different lead times

(2012) Mehmet C. Demirel et al.   HYDROLOGICAL PROCESSES

A wavelet-support vector machine conjunction model for monthly streamflow forecasting

(2011) Ozgur Kisi et al.   JOURNAL OF HYDROLOGY

The relation between periods’ identification and noises in hydrologic series data

(2009) Yan-Fang Sang et al.   JOURNAL OF HYDROLOGY

A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series

(2009) Wen-Chuan Wang et al.   JOURNAL OF HYDROLOGY

Medium-range flow prediction for the Nile: a comparison of stochastic and deterministic methods / Prévision du débit du Nil à moyen terme: une comparaison de méthodes stochastiques et déterministes

(2008) DEMETRIS KOUTSOYIANNIS et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Critical appraisal of methods for the assessment of environmental flows and their application in two river systems of India

(2008) Ramakar Jha et al.   KSCE Journal of Civil Engineering

Model complexity control for hydrologic prediction

(2008) G. Schoups et al.   WATER RESOURCES RESEARCH

Using adaptive neuro-fuzzy inference system for hydrological time series prediction

(2007) Mohammad Zounemat-Kermani et al.   APPLIED SOFT COMPUTING

Hydrological time-series modelling using an adaptive neuro-fuzzy inference system

(2007) Mahmut Firat et al.   HYDROLOGICAL PROCESSES

A new boosting algorithm for improved time-series forecasting with recurrent neural networks

(2006) Mohammad Assaad et al.   Information Fusion