Data construction methodology for convolution neural network based daily runoff prediction and assessment of its applicability

Research on Runoff Simulations Using Deep-Learning Methods

(2021) Yan Liu et al.   Sustainability

Daily runoff forecasting by deep recursive neural network

(2021) Jiangwei Zhang et al.   JOURNAL OF HYDROLOGY

Short-term water quality variable prediction using a hybrid CNN–LSTM deep learning model

(2020) Rahim Barzegar et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Application of Artificial Neural Networks in Forecasting a Standardized Precipitation Evapotranspiration Index for the Upper Blue Nile Basin

(2020) Getachew Mehabie Mulualem et al.   Water

Integrative stochastic model standardization with genetic algorithm for rainfall pattern forecasting in tropical and semi-arid environments

(2020) Sinan Q. Salih et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Utility of Artificial Neural Networks in Modeling Pan Evaporation in Hyper-Arid Climates

(2020) Abdullah A. Alsumaiei   Water

Medium-Term Rainfall Forecasts Using Artificial Neural Networks with Monte-Carlo Cross-Validation and Aggregation for the Han River Basin, Korea

(2020) Jeongwoo Lee et al.   Water

Distributed long-term hourly streamflow predictions using deep learning – A case study for State of Iowa

(2020) Zhongrun Xiang et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Effects of data count and image scaling on Deep Learning training

(2020) Daisuke Hirahara et al.   PeerJ Computer Science

Novel Hybrid Data-Intelligence Model for Forecasting Monthly Rainfall with Uncertainty Analysis

(2019) Zaher Yaseen et al.   Water

Calibration and Validation of Watershed Models and Advances in Uncertainty Analysis in TMDL Studies

(2019) Ebrahim Ahmadisharaf et al.   JOURNAL OF HYDROLOGIC ENGINEERING

Improving Monsoon Precipitation Prediction Using Combined Convolutional and Long Short Term Memory Neural Network

(2019) Qinghua Miao et al.   Water

Identifying Key Hydrological Processes in Highly Urbanized Watersheds for Flood Forecasting with a Distributed Hydrological Model

(2019) Huanyu Wang et al.   Water

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

(2019) Lingling Ni et al.   JOURNAL OF HYDROLOGY

Flood susceptibility mapping using convolutional neural network frameworks

(2019) Yi Wang et al.   JOURNAL OF HYDROLOGY

Global-connected network with generalized ReLU activation

(2019) Zhi Chen et al.   PATTERN RECOGNITION

Convolutional Neural Network Coupled with a Transfer-Learning Approach for Time-Series Flood Predictions

(2019) Nobuaki Kimura et al.   Water

The rise of deep learning in drug discovery

(2018) Hongming Chen et al.   DRUG DISCOVERY TODAY

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

Recent Trends in Deep Learning Based Natural Language Processing [Review Article]

(2018) Tom Young et al.   IEEE Computational Intelligence Magazine

Performance of optimum neural network in rainfall–runoff modeling over a river basin

(2018) P. K. Mishra et al.   International Journal of Environmental Science and Technology

Assessing the Impact of Urbanization on Direct Runoff Using Improved Composite CN Method in a Large Urban Area

(2018) Chunlin Li et al.   International Journal of Environmental Research and Public Health

Probabilistic Ship Detection and Classification Using Deep Learning

(2018) Kwanghyun Kim et al.   Applied Sciences-Basel

Flood Prediction Using Machine Learning Models: Literature Review

(2018) Amir Mosavi et al.   Water

Deep Learning with a Long Short-Term Memory Networks Approach for Rainfall-Runoff Simulation

(2018) Caihong Hu et al.   Water

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

Model Parameter Optimization Method Research in Heihe River Open Modeling Environment (HOME)

(2017) Jiuyuan Huo et al.   INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE

Rainfall Pattern Forecasting Using Novel Hybrid Intelligent Model Based ANFIS-FFA

(2017) Zaher Mundher Yaseen et al.   WATER RESOURCES MANAGEMENT

A comparison between wavelet based static and dynamic neural network approaches for runoff prediction

(2016) Muhammad Shoaib et al.   JOURNAL OF HYDROLOGY

The Next Era: Deep Learning in Pharmaceutical Research

(2016) Sean Ekins   PHARMACEUTICAL RESEARCH

Neural Networks and Support Vector Machine Algorithms for Automatic Cloud Classification of Whole-Sky Ground-Based Images

(2015) Alireza Taravat et al.   IEEE Geoscience and Remote Sensing Letters

PCANet: A Simple Deep Learning Baseline for Image Classification?

(2015) Tsung-Han Chan et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Impact of land cover and land use change on runoff characteristics

(2015) N. Sajikumar et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Modeling seasonal surface runoff and base flow based on the generalized proportionality hypothesis

(2015) Xi Chen et al.   JOURNAL OF HYDROLOGY

Estimation and comparision of curve numbers based on dynamic land use land cover change, observed rainfall-runoff data and land slope

(2013) Dhananjay Suresh Deshmukh et al.   JOURNAL OF HYDROLOGY

Forecasting of monthly river flow with autoregressive modeling and data-driven techniques

(2013) Özlem Terzi et al.   NEURAL COMPUTING & APPLICATIONS

A new hybrid artificial neural networks for rainfall–runoff process modeling

(2013) Shahrokh Asadi et al.   NEUROCOMPUTING

Effect of land cover and use on dry season river runoff, runoff efficiency, and peak storm runoff in the seasonal tropics of Central Panama

(2013) Fred L. Ogden et al.   WATER RESOURCES RESEARCH

HydroGeoSphere: A Fully Integrated, Physically Based Hydrological Model

(2011) Philip Brunner et al.   Groundwater

Hybrid Wavelet–Genetic Programming Approach to Optimize ANN Modeling of Rainfall–Runoff Process

(2011) Vahid Nourani et al.   JOURNAL OF HYDROLOGIC ENGINEERING

Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions

(2010) Holger R. Maier et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Research on the SCS-CN initial abstraction ratio using rainfall-runoff event analysis in the Three Gorges Area, China

(2009) Zhi-Hua Shi et al.   CATENA

A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series

(2009) Wen-Chuan Wang et al.   JOURNAL OF HYDROLOGY

Adaptive neuro fuzzy inference system approach for municipal water consumption modeling: An application to Izmir, Turkey

(2008) Mehmet Ali Yurdusev et al.   JOURNAL OF HYDROLOGY