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| Autori principali: | , , , , , , |
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| Natura: | Recurso digital |
| Lingua: | |
| Pubblicazione: |
Zenodo
2026
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| Accesso online: | https://doi.org/10.5281/zenodo.18218882 |
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Sommario:
- <p>This repository contains the relevant code and data for the paper on <strong>An Explainable Ensemble Machine-Learning Framework for Regime-Shift Forecasting of Algal Blooms across Contrasting Lake Systems</strong>.<br>Specifically, the <strong>Research data and codes.zip</strong> file contains water quality and meteorological datasets from Lake Taihu and NEL, together with the implementation codes for three machine learning models (RF, SVM, XGBoost).</p>