Related references
Note: Only part of the references are listed.Comparison of the advanced machine learning methods for better prediction accuracy of solar radiation using only temperature data: A case study
Amin Mirbolouki et al.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2022)
The role of hyperparameters in predicting rainfall using n-hidden-layered networks
E. Mary Jasmine et al.
NATURAL HAZARDS (2022)
Drought modelling by standard precipitation index (SPI) in a semi-arid climate using deep learning method: long short-term memory
Alireza Docheshmeh Gorgij et al.
NEURAL COMPUTING & APPLICATIONS (2022)
Comparison of different methodologies for rainfall-runoff modeling: machine learning vs conceptual approach
Rana Muhammad Adnan et al.
NATURAL HAZARDS (2021)
1D convolutional neural networks and applications: A survey
Serkan Kiranyaz et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)
Bayesian machine learning ensemble approach to quantify model uncertainty in predicting groundwater storage change
Jina Yin et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2021)
Machine learning for hydrologic sciences: An introductory overview
Tianfang Xu et al.
WILEY INTERDISCIPLINARY REVIEWS-WATER (2021)
Exploring a Long Short-Term Memory based Encoder-Decoder framework for multi-step-ahead flood forecasting
I-Feng Kao et al.
JOURNAL OF HYDROLOGY (2020)
Flood susceptibility mapping using convolutional neural network frameworks
Yi Wang et al.
JOURNAL OF HYDROLOGY (2020)
Short-term water quality variable prediction using a hybrid CNN-LSTM deep learning model
Rahim Barzegar et al.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2020)
Comparison of Long Short Term Memory Networks and the Hydrological Model in Runoff Simulation
Hongxiang Fan et al.
WATER (2020)
Deep learning convolutional neural network in rainfall-runoff modelling
Song Pham Van et al.
JOURNAL OF HYDROINFORMATICS (2020)
A spatiotemporal deep fusion model for merging satellite and gauge precipitation in China
Hongcai Wu et al.
JOURNAL OF HYDROLOGY (2020)
Research and application of an intelligent networking model for flood forecasting in the arid mountainous basins
Ximin Yuan et al.
JOURNAL OF FLOOD RISK MANAGEMENT (2020)
The importance of short lag-time in the runoff forecasting model based on long short-term memory
Xi Chen et al.
JOURNAL OF HYDROLOGY (2020)
Tiny-RainNet: a deep convolutional neural network with bi-directional long short-term memory model for short-term rainfall prediction
Chang-Jiang Zhang et al.
METEOROLOGICAL APPLICATIONS (2020)
A deep convolutional neural network model for rapid prediction of fluvial flood inundation
Syed Kabir et al.
JOURNAL OF HYDROLOGY (2020)
Application of Long Short-Term Memory (LSTM) Neural Network for Flood Forecasting
Xuan-Hien Le et al.
WATER (2019)
Predicting residential energy consumption using CNN-LSTM neural networks
Tae-Young Kim et al.
ENERGY (2019)
Speech emotion recognition using deep 1D & 2D CNN LSTM networks
Jianfeng Zhao et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2019)
An advanced deep learning approach to real-time estimation of lane-based queue lengths at a signalized junction
Seunghyeon Lee et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2019)
Toward Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning
Frederik Kratzert et al.
WATER RESOURCES RESEARCH (2019)
Recent advances in convolutional neural networks
Jiuxiang Gu et al.
PATTERN RECOGNITION (2018)
Ensembles vs. information theory: supporting science under uncertainty
Grey S. Nearing et al.
FRONTIERS OF EARTH SCIENCE (2018)
Deep Learning with a Long Short-Term Memory Networks Approach for Rainfall-Runoff Simulation
Caihong Hu et al.
WATER (2018)
Rainfall-runoff modelling using Long Short-Term Memory (LSTM) networks
Frederik Kratzert et al.
HYDROLOGY AND EARTH SYSTEM SCIENCES (2018)
Streamflow estimation by support vector machine coupled with different methods of time series decomposition in the upper reaches of Yangtze River, China
Shuang Zhu et al.
ENVIRONMENTAL EARTH SCIENCES (2016)
Rainfall-runoff modeling using artificial neural network coupled with singular spectrum analysis
C. L. Wu et al.
JOURNAL OF HYDROLOGY (2011)
Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds
Jan Adamowski et al.
JOURNAL OF HYDROLOGY (2010)
Toward improved identification of hydrological models: A diagnostic evaluation of the abcd monthly water balance model for the conterminous United States
Guillermo F. Martinez et al.
WATER RESOURCES RESEARCH (2010)
Share Paper
