A Comparative Assessment of Machine Learning and Deep Learning Models for the Daily River Streamflow Forecasting

10 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).

1. 2025 Developing a novel hybrid model based on GRU deep neural network and Whale optimization algorithm for precise forecasting of river’s streamflowCitations 7 · OpenAlex
2. 2025 Developing a novel hybrid model based on GRU deep neural network and Whale optimization algorithm for precise forecasting of river's streamflowCitations 7 · OpenAlex
3. 2025 Developing a novel hybrid model based on GRU deep neural network and Whale optimization algorithm for precise forecasting of river’s streamflowCitations 7 · OpenAlex
4. 2025 Development of explainable hybrid quantum-inspired recurrent neural networks for predicting groundwater quality: A case study at West Azerbaijan, IranCitations 6 · OpenAlex
5. 2026 A Comparative Evaluation of Deep Learning and Machine Learning Models for River Suspended Sediment Concentration ForecastingCitations 3 · OpenAlex
6. 2026 A hybrid FEDformer-LSTM model for accurate multi-step ahead river streamflow forecastingCitations 0 · OpenAlex
7. 2026 Streamflow Forecasting in the Eastern Black Sea Basin Using a Contrastive PSO-Optimized Transformer-LSTM FrameworkCitations 0 · OpenAlex
8. 2026 Advancing river streamflow prediction with convolutional Kolmogorov-Arnold network: a comprehensive comparison against machine learning and deep learning modelsCitations 0 · OpenAlex
9. 2026 Advancement in forecasting rainfall-runoff process: application of a novel hybrid FMD-SVR-ABC modeling techniqueCitations 0 · OpenAlex
10. 2026 Advancement in forecasting rainfall-runoff process: application of a novel hybrid FMD-SVR-ABC modeling techniqueCitations 0 · OpenAlex