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Machine learning and deep learning—A review for ecologists论文
Methods in Ecology and Evolution2023引用: 389
The latest innovative avenues for the utilization of artificial Intelligence and big data analytics in water resource management论文
Results in Engineering2023引用: 258
Interpretation of ensemble learning to predict water quality using explainable artificial intelligence论文
The Science of The Total Environment2022引用: 226
A Review on Machine Learning, Artificial Intelligence, and Smart Technology in Water Treatment and Monitoring论文
Water2022引用: 313
The Matthews Correlation Coefficient (MCC) is More Informative Than Cohen’s Kappa and Brier Score in Binary Classification Assessment论文
IEEE Access2021引用: 421
An insight into machine learning models era in simulating soil, water bodies and adsorption heavy metals: Review, challenges and solutions论文
Chemosphere2021引用: 313
Artificial intelligence in sepsis early prediction and diagnosis using unstructured data in healthcare论文
Nature Communications2021引用: 389
Monthly runoff time series prediction by variational mode decomposition and support vector machine based on quantum-behaved particle swarm optimization论文
Journal of Hydrology2020引用: 243
Temporal convolutional neural (TCN) network for an effective weather forecasting using time-series data from the local weather station论文
Soft Computing2020引用: 649
Transductive LSTM for time-series prediction: An application to weather forecasting论文
Neural Networks2020引用: 535
A comprehensive review of deep learning applications in hydrology and water resources论文
Water Science & Technology2020引用: 560
Wind power forecasting – A data-driven method along with gated recurrent neural network论文
Renewable Energy2020引用: 390
Research on soil moisture prediction model based on deep learning论文
PLoS ONE2019引用: 231
Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles论文
Society for Industrial and Applied Mathematics eBooks2019引用: 227
Evaluation of CatBoost method for prediction of reference evapotranspiration in humid regions论文
Journal of Hydrology2019引用: 530
Daily streamflow prediction using optimally pruned extreme learning machine论文
Journal of Hydrology2019引用: 281
Significant wave height forecasting via an extreme learning machine model integrated with improved complete ensemble empirical mode decomposition论文
Renewable and Sustainable Energy Reviews2019引用: 236
Prediction of Rainfall Using Intensified LSTM Based Recurrent Neural Network with Weighted Linear Units论文
Atmosphere2019引用: 235
A comparison of random forest variable selection methods for classification prediction modeling论文
Expert Systems with Applications2019引用: 1.5K
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