Improving Monthly Rainfall Forecast in a Watershed by Combining Neural Networks and Autoregressive Models

Accurate storm surge forecasting using the encoder–decoder long short term memory recurrent neural network

(2022) Long-Hu Bai et al.   PHYSICS OF FLUIDS

Application of Long Short-Term Memory (LSTM) on the Prediction of Rainfall-Runoff in Karst Area

(2022) Longzhang Fang et al.   Frontiers in Physics

Prediction of Flow Based on a CNN-LSTM Combined Deep Learning Approach

(2022) Peifeng Li et al.   Water

The Skills of Medium-Range Precipitation Forecasts in the Senegal River Basin

(2022) Mekonnen Gebremichael et al.   Sustainability

Streamflow modelling and forecasting for Canadian watersheds using LSTM networks with attention mechanism

(2022) Lakshika Girihagama et al.   NEURAL COMPUTING & APPLICATIONS

Rainfall prediction using generative adversarial networks with convolution neural network

(2021) R. Venkatesh et al.   Soft Computing

Prediction of Short-Time Rainfall Based on Deep Learning

(2021) Dechao Sun et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Multi-step rainfall forecasting using deep learning approach

(2021) Sanam Narejo et al.   PeerJ Computer Science

Assessing the potential and hydrological usefulness of the CHIRPS precipitation dataset over a complex topography in Pakistan

(2021) Muhammad Shahid et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Machine Learning for Climate Precipitation Prediction Modeling over South America

(2021) Juliana Aparecida Anochi et al.   Remote Sensing

Hourly Rainfall Forecast Model Using Supervised Learning Algorithm

(2021) Qingzhi Zhao et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Modeling Pan Evaporation Using Gaussian Process Regression K-Nearest Neighbors Random Forest and Support Vector Machines; Comparative Analysis

(2020) Sevda Shabani et al.   Atmosphere

Complete ensemble empirical mode decomposition hybridized with random forest and kernel ridge regression model for monthly rainfall forecasts

(2020) Mumtaz Ali et al.   JOURNAL OF HYDROLOGY

Performance Enhancement Model for Rainfall Forecasting Utilizing Integrated Wavelet-Convolutional Neural Network

(2020) Kai Lun Chong et al.   WATER RESOURCES MANAGEMENT

A long short-term memory model for global rapid intensification prediction

(2020) Qidong Yang et al.   WEATHER AND FORECASTING

Surface and high-altitude combined rainfall forecasting using convolutional neural network

(2020) Pengcheng Zhang et al.   Peer-to-Peer Networking and Applications

Multiscale Forecasting of High-Impact Weather: Current Status and Future Challenges

(2020) Sharanya J. Majumdar et al.   BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY

Using long short-term memory networks for river flow prediction

(2020) Wei Xu et al.   HYDROLOGY RESEARCH

Novel Ensemble Approach of Deep Learning Neural Network (DLNN) Model and Particle Swarm Optimization (PSO) Algorithm for Prediction of Gully Erosion Susceptibility

(2020) Shahab S. Band et al.   SENSORS

Improving near real-time precipitation estimation using a U-Net convolutional neural network and geographical information

(2020) Mojtaba Sadeghi et al.   ENVIRONMENTAL MODELLING & SOFTWARE

A Novel Assisted Artificial Neural Network Modeling Approach for Improved Accuracy Using Small Datasets: Application in Residual Strength Evaluation of Panels with Multiple Site Damage Cracks

(2020) Ala Hijazi et al.   Applied Sciences-Basel

Deep Learning-Based Weather Prediction: A Survey

(2020) Xiaoli Ren et al.   Big Data Research

Rainfall forecasting model using machine learning methods: Case study Terengganu, Malaysia

(2020) Wanie M. Ridwan et al.   Ain Shams Engineering Journal

Modeling Level 2 Passive Microwave Precipitation Retrieval Error Over Complex Terrain Using a Nonparametric Statistical Technique

(2020) Yagmur Derin et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

A reliable linear method for modeling lake level fluctuations

(2019) Isa Ebtehaj et al.   JOURNAL OF HYDROLOGY

Forecasting monthly precipitation using sequential modelling

(2019) Deepak Kumar et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Hybrid Wavelet-M5 Model Tree for Rainfall-Runoff Modeling

(2019) Vahid Nourani et al.   JOURNAL OF HYDROLOGIC ENGINEERING

Neural Network Approach to Forecast Hourly Intense Rainfall Using GNSS Precipitable Water Vapor and Meteorological Sensors

(2019) Pedro Benevides et al.   Remote Sensing

Machine learning models accurately model ozone exposure during wildfire events

(2019) Gregory L. Watson et al.   ENVIRONMENTAL POLLUTION

Earth fissure hazard prediction using machine learning models

(2019) Bahram Choubin et al.   ENVIRONMENTAL RESEARCH

Using a multilayer perceptron in intraocular lens power calculation

(2019) José Carlos Fernández-Álvarez et al.   JOURNAL OF CATARACT AND REFRACTIVE SURGERY

Integrated machine learning methods with resampling algorithms for flood susceptibility prediction

(2019) Esmaeel Dodangeh et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Coupling a firefly algorithm with support vector regression to predict evaporation in northern Iran

(2018) Roozbeh Moazenzadeh et al.   Engineering Applications of Computational Fluid Mechanics

Survey of computational intelligence as basis to big flood management: challenges, research directions and future work

(2018) Farnaz Fotovatikhah et al.   Engineering Applications of Computational Fluid Mechanics

Forecasting the volatility of stock price index: A hybrid model integrating LSTM with multiple GARCH-type models

(2018) Ha Young Kim et al.   EXPERT SYSTEMS WITH APPLICATIONS

New insights into soil temperature time series modeling: linear or nonlinear?

(2018) Hossein Bonakdari et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Research on Real-Time Local Rainfall Prediction Based on MEMS Sensors

(2018) Zeyi Chao et al.   Journal of Sensors

Sugarcane growth prediction based on meteorological parameters using extreme learning machine and artificial neural network

(2018) Pezhman Taherei Ghazvinei et al.   Engineering Applications of Computational Fluid Mechanics

Electromyogram-based hand gesture recognition robust to various arm postures

(2018) Kiwon Rhee et al.   International Journal of Distributed Sensor Networks

Application of Artificial Neural Networks to Rainfall Forecasting in the Geum River Basin, Korea

(2018) Jeongwoo Lee et al.   Water

Evaporation modelling using different machine learning techniques

(2017) Lunche Wang et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks

(2016) Yushi Chen et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Forecasting monthly inflow with extreme seasonal variation using the hybrid SARIMA-ANN model

(2016) Hamid Moeeni et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Monthly rainfall forecast of Bangladesh using autoregressive integrated moving average method

(2016) Ishtiak Mahmud et al.   Environmental Engineering Research

The influence of parametric uncertainty on the relationships between HBV model parameters and climatic characteristics

(2015) Marzena Osuch et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Automatic Time Series Forecasting: TheforecastPackage forR

(2015) Rob J. Hyndman et al.   Journal of Statistical Software

An estimation model for determining the annual energy cost budget in educational facilities using SARIMA (seasonal autoregressive integrated moving average) and ANN (artificial neural network)

(2014) Kwangbok Jeong et al.   ENERGY

A rainfall forecasting method using machine learning models and its application to the Fukuoka city case

(2013) S. Monira Sumi et al.   International Journal of Applied Mathematics and Computer Science

Centennial-Scale Sea Surface Temperature Analysis and Its Uncertainty

(2013) Shoji Hirahara et al.   JOURNAL OF CLIMATE

Hydrological evaluation of satellite-based rainfall estimates over the Volta and Baro-Akobo Basin

(2013) Vera Thiemig et al.   JOURNAL OF HYDROLOGY

Runoff conditions in the upper Danube basin under an ensemble of climate change scenarios

(2012) Harald Kling et al.   JOURNAL OF HYDROLOGY

A Neural Network Nonlinear Multimodel Ensemble to Improve Precipitation Forecasts over Continental US

(2012) Vladimir M. Krasnopolsky et al.   Advances in Meteorology

Rain intensity forecast using Artificial Neural Networks in Athens, Greece

(2011) P.T. Nastos et al.   ATMOSPHERIC RESEARCH

Two hybrid Artificial Intelligence approaches for modeling rainfall–runoff process

(2011) Vahid Nourani et al.   JOURNAL OF HYDROLOGY

Application of seasonal time series model in the precipitation forecast

(2011) Shengwei Wang et al.   MATHEMATICAL AND COMPUTER MODELLING

Functional model of water balance variability at the catchment scale: 1. Evidence of hydrologic similarity and space-time symmetry

(2011) Murugesu Sivapalan et al.   WATER RESOURCES RESEARCH

Daily pan evaporation modeling using linear genetic programming technique

(2010) Aytac Guven et al.   IRRIGATION SCIENCE

Prediction of rainfall time series using modular artificial neural networks coupled with data-preprocessing techniques

(2010) C.L. Wu et al.   JOURNAL OF HYDROLOGY

Predicting fuelwood prices in Greece with the use of ARIMA models, artificial neural networks and a hybrid ARIMA–ANN model

(2009) Theodoros Koutroumanidis et al.   ENERGY POLICY

A hybrid neural network and ARIMA model for water quality time series prediction

(2009) Durdu Ömer Faruk   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling

(2009) Hoshin V. Gupta et al.   JOURNAL OF HYDROLOGY

Rainfall forecasting by technological machine learning models

(2008) Wei-Chiang Hong   APPLIED MATHEMATICS AND COMPUTATION

Data-driven modelling: some past experiences and new approaches

(2007) Dimitri P. Solomatine et al.   JOURNAL OF HYDROINFORMATICS