Short-Term Daily Univariate Streamflow Forecasting Using Deep Learning Models

Daily Runoff Forecasting Using a Cascade Long Short-Term Memory Model that Considers Different Variables

(2021) Yun Bai et al.   WATER RESOURCES MANAGEMENT

The Understanding of Deep Learning: A Comprehensive Review

(2021) Ranjan Kumar Mishra et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Time Series Forecasting of Univariate Agrometeorological Data: A Comparative Performance Evaluation via One-Step and Multi-Step Ahead Forecasting Strategies

(2021) Saurabh Suradhaniwar et al.   SENSORS

Performance Comparison of an LSTM-based Deep Learning Model versus Conventional Machine Learning Algorithms for Streamflow Forecasting

(2021) Maryam Rahimzad et al.   WATER RESOURCES MANAGEMENT

A Comparison of Multiple Imputation Methods for Recovering Missing Data in Hydrological Studies

(2021) Fatimah Bibi Hamzah et al.   Civil Engineering Journal-Tehran

Hydrological Models and Artificial Neural Networks (ANNs) to Simulate Streamflow in a Tropical Catchment of Sri Lanka

(2021) Miyuru B. Gunathilake et al.   Applied Computational Intelligence and Soft Computing

Enhancing robustness of monthly streamflow forecasting model using gated recurrent unit based on improved grey wolf optimizer

(2021) Xuehua Zhao et al.   JOURNAL OF HYDROLOGY

Multivariate Streamflow Simulation Using Hybrid Deep Learning Models

(2021) Eyob Betru Wegayehu et al.   Computational Intelligence and Neuroscience

A water quality prediction method based on the multi-time scale bidirectional long short-term memory network

(2020) Qinghong Zou et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Financial time series forecasting with deep learning : A systematic literature review: 2005–2019

(2020) Omer Berat Sezer et al.   APPLIED SOFT COMPUTING

Comparative Analysis of Recurrent Neural Network Architectures for Reservoir Inflow Forecasting

(2020) Halit Apaydin et al.   Water

Alternative solutions for long missing streamflow data for sustainable water resources management

(2020) Buket Mesta et al.   INTERNATIONAL JOURNAL OF WATER RESOURCES DEVELOPMENT

Short-term runoff prediction with GRU and LSTM networks without requiring time step optimization during sample generation

(2020) Shuai Gao et al.   JOURNAL OF HYDROLOGY

Forecast of short-term daily reference evapotranspiration under limited meteorological variables using a hybrid bi-directional long short-term memory model (Bi-LSTM)

(2020) Juan Yin et al.   AGRICULTURAL WATER MANAGEMENT

An Experimental Review on Deep Learning Architectures for Time Series Forecasting

(2020) Pedro Lara-Benitez et al.   International Journal of Neural Systems

Deep Learning for Time Series Forecasting: A Survey

(2020) José F. Torres et al.   Big Data

Evaluating the performances of several artificial intelligence methods in forecasting daily streamflow time series for sustainable water resources management

(2020) Wen-jing Niu et al.   Sustainable Cities and Society

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

(2019) Bibhuti Bhusan Sahoo et al.   Acta Geophysica

Conditional Generative Adversarial Networks (cGANs) for Near Real-Time Precipitation Estimation from Multispectral GOES-16 Satellite Imageries—PERSIANN-cGAN

(2019) Negin Hayatbini et al.   Remote Sensing

Hybrid Hydrological Data-Driven Approach for Daily Streamflow Forecasting

(2019) Maysara Ghaith et al.   JOURNAL OF HYDROLOGIC ENGINEERING

Univariate streamflow forecasting using commonly used data-driven models: literature review and case study

(2018) Zhenghao Zhang et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Neural network modeling of hydrological systems: A review of implementation techniques

(2018) Oluwaseun Oyebode et al.   NATURAL RESOURCE MODELING

A trans-disciplinary review of deep learning research and its relevance for water resources scientists

(2018) Chaopeng Shen   WATER RESOURCES RESEARCH

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

An enhanced extreme learning machine model for river flow forecasting: State-of-the-art, practical applications in water resource engineering area and future research direction

(2018) Zaher Mundher Yaseen et al.   JOURNAL OF HYDROLOGY

Forecasting Daily Streamflow Discharges Using Various Neural Network Models and Training Algorithms

(2017) Sinan Nacar et al.   KSCE Journal of Civil Engineering

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

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

Infilling of missing rainfall and streamflow data in the Shire River basin, Malawi – A self organizing map approach

(2012) F.D. Mwale et al.   PHYSICS AND CHEMISTRY OF THE EARTH

Regional hydrological drought in north-western Europe: linking a new Regional Drought Area Index with weather types

(2010) Anne K. Fleig et al.   HYDROLOGICAL PROCESSES