Salvato in:
| Autore principale: | |
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| Natura: | Recurso digital |
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| Pubblicazione: |
Zenodo
2026
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| Accesso online: | https://doi.org/10.5281/zenodo.20237609 |
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Sommario:
- <p>Corrected citation metadata and released the reproducible GeoClimate-FusionLLM environmental early-warning repository for Zenodo archiving and DOI generation.</p> <p>This release includes Python code, Baghdad 2019–2024 climate data workflow, leakage-safe preprocessing, multimodal feature engineering, classical forecasting baselines, deep-learning models, ablation experiments, parameter-count analysis, three-random-seed robustness testing, extreme-temperature evaluation, explainability outputs, and environmental early-warning report generation.</p>