Related references
Note: Only part of the references are listed.Dissolved oxygen concentration predictions for running waters with using hybrid machine learning techniques
Reza Dehghani et al.
MODELING EARTH SYSTEMS AND ENVIRONMENT (2022)
Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index Data
A. A. Masrur Ahmed et al.
REMOTE SENSING (2021)
Research on Runoff Simulations Using Deep-Learning Methods
Yan Liu et al.
SUSTAINABILITY (2021)
Automatic detection of cyberbullying using multi-feature based artificial intelligence with deep decision tree classification
Natarajan Yuvaraj et al.
COMPUTERS & ELECTRICAL ENGINEERING (2021)
MSGP-LASSO: An improved multi-stage genetic programming model for streamflow prediction
Ali Danandeh Mehr et al.
INFORMATION SCIENCES (2021)
Performance Comparison of an LSTM-based Deep Learning Model versus Conventional Machine Learning Algorithms for Streamflow Forecasting
Maryam Rahimzad et al.
WATER RESOURCES MANAGEMENT (2021)
Streamflow and rainfall forecasting by two long short-term memory-based models
Lingling Ni et al.
JOURNAL OF HYDROLOGY (2020)
A water quality prediction method based on the multi-time scale bidirectional long short-term memory network
Qinghong Zou et al.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2020)
An improved long short-term memory network for streamflow forecasting in the upper Yangtze River
Shuang Zhu et al.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (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)
Financial time series forecasting with deep learning : A systematic literature review: 2005-2019
Omer Berat Sezer et al.
APPLIED SOFT COMPUTING (2020)
Deep learning convolutional neural network in rainfall-runoff modelling
Song Pham Van et al.
JOURNAL OF HYDROINFORMATICS (2020)
A CNN-LSTM model for gold price time-series forecasting
Ioannis E. Livieris et al.
NEURAL COMPUTING & APPLICATIONS (2020)
A Novel Hybrid CNN-LSTM Scheme for Nitrogen Oxide Emission Prediction in FCC Unit
Wei He et al.
MATHEMATICAL PROBLEMS IN ENGINEERING (2020)
Employing Machine Learning Algorithms for Streamflow Prediction: A Case Study of Four River Basins with Different Climatic Zones in the United States
Peiman Parisouj et al.
WATER RESOURCES MANAGEMENT (2020)
Transfer learning and domain adaptation based on modeling of socio-economic systems
Oleg D. Kazakov et al.
BIZNES INFORMATIKA-BUSINESS INFORMATICS (2020)
Evolutionary modelling of municipal water demand with multiple feature selection techniques
Oluwaseun Oyebode
JOURNAL OF WATER SUPPLY RESEARCH AND TECHNOLOGY-AQUA (2019)
Long short-term memory (LSTM) recurrent neural network for low-flow hydrological time series forecasting
Bibhuti Bhusan Sahoo et al.
ACTA GEOPHYSICA (2019)
Introductory overview: Error metrics for hydrologic modelling - A review of common practices and an open source library to facilitate use and adoption
Elise K. Jackson et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2019)
Short-Term Streamflow Forecasting Using the Feature-Enhanced Regression Model
Yun Bai et al.
WATER RESOURCES MANAGEMENT (2019)
Small Watershed Stream-Flow Forecasting Based on LSTM
Le Yan et al.
PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON UBIQUITOUS INFORMATION MANAGEMENT AND COMMUNICATION (IMCOM) 2019 (2019)
Integrating VGI and 2D hydraulic models into a data assimilation framework for real time flood forecasting and mapping
Antonio Annis et al.
GEO-SPATIAL INFORMATION SCIENCE (2019)
A Comparison of Emotional Neural Network (ENN) and Artificial Neural Network (ANN) Approach for Rainfall-Runoff Modelling
Suraj Kumar et al.
CIVIL ENGINEERING JOURNAL-TEHRAN (2019)
Univariate streamflow forecasting using commonly used data-driven models: literature review and case study
Zhenghao Zhang et al.
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES (2018)
Monthly runoff forecasting based on LSTM-ALO model
Xiaohui Yuan et al.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2018)
Gated Recurrent Unit Network-Based Short-Term Photovoltaic Forecasting
Yusen Wang et al.
ENERGIES (2018)
Estimation of River Discharge Solely from Remote-Sensing Derived Data: An Initial Study Over the Yangtze River
Arthur W. Sichangi et al.
REMOTE SENSING (2018)
Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks
Osama Abdeljaber et al.
JOURNAL OF SOUND AND VIBRATION (2017)
Estimating continental river basin discharges using multiple remote sensing data sets
Arthur W. Sichangi et al.
REMOTE SENSING OF ENVIRONMENT (2016)
Impact of Climate Change on the Hydrology of Upper Tiber River Basin Using Bias Corrected Regional Climate Model
B. M. Fiseha et al.
WATER RESOURCES MANAGEMENT (2014)
A quantile function approach to discharge estimation from satellite altimetry (ENVISAT)
M. J. Tourian et al.
WATER RESOURCES RESEARCH (2013)
Sliding window-based frequent pattern mining over data streams
Syed Khairuzzaman Tanbeer et al.
INFORMATION SCIENCES (2009)
Share Paper
