EMD and LSTM Hybrid Deep Learning Model for Predicting Sunspot Number Time Series with a Cyclic Pattern

Stochastic simulation on reproducing long-term memory of hydroclimatological variables using deep learning model

(2020) Taesam Lee et al.   JOURNAL OF HYDROLOGY

Short-term water quality variable prediction using a hybrid CNN–LSTM deep learning model

(2020) Rahim Barzegar et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Forecasting Sunspot Time Series Using Deep Learning Methods

(2019) Zeydin Pala et al.   SOLAR PHYSICS

Multivariate Nonstationary Oscillation Simulation of Climate Indices with Empirical Mode Decomposition

(2019) Taesam Lee et al.   WATER RESOURCES RESEARCH

Long Time Series Land Cover Classification in China from 1982 to 2015 Based on Bi-LSTM Deep Learning

(2019) Haoyu Wang et al.   Remote Sensing

Sunspot cycle prediction using Warped Gaussian process regression

(2019) Ítalo G. Gonçalves et al.   ADVANCES IN SPACE RESEARCH

Monthly runoff forecasting based on LSTM–ALO model

(2018) Xiaohui Yuan et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

A Hybrid Regression-Neural Network (HR-NN) Method for Forecasting the Solar Activity

(2018) D. I. Okoh et al.   SPACE WEATHER-THE INTERNATIONAL JOURNAL OF RESEARCH AND APPLICATIONS

Financial time series forecasting model based on CEEMDAN and LSTM

(2018) Jian Cao et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

LSTM: A Search Space Odyssey

(2017) Klaus Greff et al.   IEEE Transactions on Neural Networks and Learning Systems

Hybrid signal detection approach for hydro-meteorological variables combining EMD and cross-wavelet analysis

(2015) Martin Durocher et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

An orchestrated climate song from the Pacific and Atlantic Oceans and its implication on climatological processes

(2012) T. Lee et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

Solar Cycle Predictions (Invited Review)

(2012) W. Dean Pesnell   SOLAR PHYSICS

Stochastic simulation of nonstationary oscillation hydroclimatic processes using empirical mode decomposition

(2012) T. Lee et al.   WATER RESOURCES RESEARCH

An EMD and PCA hybrid approach for separating noise from signal, and signal in climate change detection

(2011) Taesam Lee et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

Prediction of climate nonstationary oscillation processes with empirical mode decomposition

(2011) T. Lee et al.   JOURNAL OF GEOPHYSICAL RESEARCH

Prediction of sunspot number amplitude and solar cycle length for cycles 24 and 25

(2010) N.R. Rigozo et al.   JOURNAL OF ATMOSPHERIC AND SOLAR-TERRESTRIAL PHYSICS

Long-term prediction of precipitation and hydrologic extremes with nonstationary oscillation processes

(2010) T. Lee et al.   JOURNAL OF GEOPHYSICAL RESEARCH

Solar Weather Event Modelling and Prediction

(2009) Mauro Messerotti et al.   SPACE SCIENCE REVIEWS