Fusing stacked autoencoder and long short-term memory for regional multistep-ahead flood inundation forecasts

A Rainfall‐Runoff Model With LSTM‐Based Sequence‐to‐Sequence Learning

(2020) Zhongrun Xiang et al.   WATER RESOURCES RESEARCH

Improving the Reliability of Probabilistic Multi-Step-Ahead Flood Forecasting by Fusing Unscented Kalman Filter with Recurrent Neural Network

(2020) Yanlai Zhou et al.   Water

Self-organizing maps of typhoon tracks allow for flood forecasts up to two days in advance

(2020) Li-Chiu Chang et al.   Nature Communications

Interpretable spatio-temporal attention LSTM model for flood forecasting

(2020) Yukai Ding et al.   NEUROCOMPUTING

A comprehensive review of deep learning applications in hydrology and water resources

(2020) Muhammed Sit et al.   WATER SCIENCE AND TECHNOLOGY

Comparative applications of data-driven models representing water table fluctuations

(2019) Jina Jeong et al.   JOURNAL OF HYDROLOGY

Enhancing real-time streamflow forecasts with wavelet-neural network based error-updating schemes and ECMWF meteorological predictions in Variable Infiltration Capacity model

(2019) Trushnamayee Nanda et al.   JOURNAL OF HYDROLOGY

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

(2019) Bibhuti Bhusan Sahoo et al.   Acta Geophysica

Deep learning for denoising

(2019) Siwei Yu et al.   GEOPHYSICS

Application of Long Short-Term Memory (LSTM) Neural Network for Flood Forecasting

(2019) Le et al.   Water

Deep Learning with Stacked Denoising Auto-Encoder for Short-Term Electric Load Forecasting

(2019) Peng Liu et al.   Energies

Hydrological modelling of karst catchment using lumped conceptual and data mining models

(2019) Cenk Sezen et al.   JOURNAL OF HYDROLOGY

A Novel Hybrid Extreme Learning Machine Approach Improved by K Nearest Neighbor Method and Fireworks Algorithm for Flood Forecasting in Medium and Small Watershed of Loess Region

(2019) Juanhui Ren et al.   Water

Temporal Prediction of Multiapplication Consolidated Workloads in Distributed Clouds

(2019) Jing Bi et al.   IEEE Transactions on Automation Science and Engineering

Streamflow and rainfall forecasting by two long short-term memory-based models

(2019) Lingling Ni et al.   JOURNAL OF HYDROLOGY

Short-Term Streamflow Forecasting Using the Feature-Enhanced Regression Model

(2019) Yun Bai et al.   WATER RESOURCES MANAGEMENT

Classification with an edge: Improving semantic image segmentation with boundary detection

(2018) D. Marmanis et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Bayesian deep convolutional encoder–decoder networks for surrogate modeling and uncertainty quantification

(2018) Yinhao Zhu et al.   JOURNAL OF COMPUTATIONAL PHYSICS

An adaptive middle and long-term runoff forecast model using EEMD-ANN hybrid approach

(2018) Qiao-Feng Tan et al.   JOURNAL OF HYDROLOGY

Developing a Long Short-Term Memory (LSTM) based model for predicting water table depth in agricultural areas

(2018) Jianfeng Zhang et al.   JOURNAL OF HYDROLOGY

An efficient deep model for day-ahead electricity load forecasting with stacked denoising auto-encoders

(2018) Chao Tong et al.   JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING

A Model Combining Stacked Auto Encoder and Back Propagation Algorithm for Short-Term Wind Power Forecasting

(2018) Runhai Jiao et al.   IEEE Access

Flood inundation assessment for the Hanoi Central Area, Vietnam under historical and extreme rainfall conditions

(2018) Pingping Luo et al.   Scientific Reports

Building ANN-Based Regional Multi-Step-Ahead Flood Inundation Forecast Models

(2018) Li-Chiu Chang et al.   Water

Building an Intelligent Hydroinformatics Integration Platform for Regional Flood Inundation Warning Systems

(2018) Li-Chiu Chang et al.   Water

Explore a deep learning multi-output neural network for regional multi-step-ahead air quality forecasts

(2018) Yanlai Zhou et al.   JOURNAL OF CLEANER PRODUCTION

SGW-SCN: An integrated machine learning approach for workload forecasting in geo-distributed cloud data centers

(2018) Jing Bi et al.   INFORMATION SCIENCES

Uncovering the Temporal Context for Video Question Answering

(2017) Linchao Zhu et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

An Emotional ANN (EANN) approach to modeling rainfall-runoff process

(2017) Vahid Nourani   JOURNAL OF HYDROLOGY

A survey of deep neural network architectures and their applications

(2017) Weibo Liu et al.   NEUROCOMPUTING

A Comparative Study of Various Hybrid Wavelet Feedforward Neural Network Models for Runoff Forecasting

(2017) Muhammad Shoaib et al.   WATER RESOURCES MANAGEMENT

Coupling SWAT and ANN models for enhanced daily streamflow prediction

(2016) Navideh Noori et al.   JOURNAL OF HYDROLOGY

A nonlinear spatio-temporal lumping of radar rainfall for modeling multi-step-ahead inflow forecasts by data-driven techniques

(2016) Fi-John Chang et al.   JOURNAL OF HYDROLOGY

A hybrid approach to monthly streamflow forecasting: Integrating hydrological model outputs into a Bayesian artificial neural network

(2016) Greer B. Humphrey et al.   JOURNAL OF HYDROLOGY

Novel segmented stacked autoencoder for effective dimensionality reduction and feature extraction in hyperspectral imaging

(2016) Jaime Zabalza et al.   NEUROCOMPUTING

Auto-encoder based dimensionality reduction

(2016) Yasi Wang et al.   NEUROCOMPUTING

Deep Feature Learning Architectures for Daily Reservoir Inflow Forecasting

(2016) Chuan Li et al.   WATER RESOURCES MANAGEMENT

Hourly runoff forecasting for flood risk management: Application of various computational intelligence models

(2015) Honey Badrzadeh et al.   JOURNAL OF HYDROLOGY

Neural network river forecasting through baseflow separation and binary-coded swarm optimization

(2015) Riccardo Taormina et al.   JOURNAL OF HYDROLOGY

Optimization of neural networks for precipitation analysis in a humid region to detect drought and wet year alarms

(2015) Mohammad Valipour   METEOROLOGICAL APPLICATIONS

Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review

(2014) Vahid Nourani et al.   JOURNAL OF HYDROLOGY

Real-time multi-step-ahead water level forecasting by recurrent neural networks for urban flood control

(2014) Fi-John Chang et al.   JOURNAL OF HYDROLOGY

Reinforced recurrent neural networks for multi-step-ahead flood forecasts

(2013) Pin-An Chen et al.   JOURNAL OF HYDROLOGY

Including spatial distribution in a data-driven rainfall-runoff model to improve reservoir inflow forecasting in Taiwan

(2012) Meng-Jung Tsai et al.   HYDROLOGICAL PROCESSES