Improved prediction of chlorophyll-a concentrations in reservoirs by GRU neural network based on particle swarm algorithm optimized variational modal decomposition

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

Shuai Gao, Yuefei Huang, Shuo Zhang et al. · Journal of Hydrology · 2020 · 634 citations

Surface Runoff, Engineering, Machine Learning +13

Identification of Maize Leaf Diseases Using Improved Deep Convolutional Neural Networks

Xihai Zhang, Yue Qiao, Fanfeng Meng et al. · IEEE Access · 2018 · 632 citations · Full text

Convolutional Neural Network, Precision Agriculture, Engineering +19

A robust method for non-stationary streamflow prediction based on improved EMD-SVM model

Erhao Meng, Shengzhi Huang, Qiang Huang et al. · Journal of Hydrology · 2018 · 256 citations

Robust Method, Data Stream, Engineering +14

PM2.5 concentration forecasting at surface monitoring sites using GRU neural network based on empirical mode decomposition

Guoyan Huang, Xinyi Li, Bing Zhang et al. · The Science of The Total Environment · 2021 · 238 citations

Pollution Detection, Environmental Monitoring, Engineering +13

Use of principal component scores in multiple linear regression models for prediction of Chlorophyll-a in reservoirs

Handan Çamdevýren, Nilsun Demýr, Sýddýk Keskýn · Ecological Modelling · 2004 · 232 citations

Environmental Monitoring, Engineering, Water Resources +7