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| Published in: | Discover Artificial Intelligence (Springer) |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1868554025621782529 |
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| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Discover Artificial Intelligence (Springer) |
| description | |
| discipline_display | Access Artificial Intelligence and Machine Learning |
| discipline_facet | Access Artificial Intelligence and Machine Learning |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:94162 |
| institution | FRELIP |
| journal_source_facet | Discover Artificial Intelligence (Springer) |
| last_indexed | 2026-06-20T21:45:54.952Z |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Reduction of the amount of training data by the neural network integrity constraint approach fostering green AI Access Artificial Intelligence and Machine Learning General Access Artificial Intelligence and Machine Learning |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Access Artificial Intelligence and Machine Learning General Access Artificial Intelligence and Machine Learning |
| subject_facet | Access Artificial Intelligence and Machine Learning General Access Artificial Intelligence and Machine Learning |
| title | Reduction of the amount of training data by the neural network integrity constraint approach fostering green AI |
| title_alt | Reducción de la cantidad de datos de entrenamiento mediante el enfoque de restricción de integridad de la red neuronal, fomentando la IA verde Réduction de la quantité de données d'entraînement par l'approche de contrainte d'intégrité du réseau neuronal favorisant une IA verte Redução da quantidade de dados de treinamento pela abordagem de restrição de integridade da rede neural promovendo IA verde |
| title_auth | Reduction of the amount of training data by the neural network integrity constraint approach fostering green AI |
| title_es_txt | Reducción de la cantidad de datos de entrenamiento mediante el enfoque de restricción de integridad de la red neuronal, fomentando la IA verde |
| title_fr_txt | Réduction de la quantité de données d'entraînement par l'approche de contrainte d'intégrité du réseau neuronal favorisant une IA verte |
| title_full | Reduction of the amount of training data by the neural network integrity constraint approach fostering green AI |
| title_fullStr | Reduction of the amount of training data by the neural network integrity constraint approach fostering green AI |
| title_full_unstemmed | Reduction of the amount of training data by the neural network integrity constraint approach fostering green AI |
| title_pt_txt | Redução da quantidade de dados de treinamento pela abordagem de restrição de integridade da rede neural promovendo IA verde |
| title_short | Reduction of the amount of training data by the neural network integrity constraint approach fostering green AI |
| title_sort | reduction of the amount of training data by the neural network integrity constraint approach fostering green ai |
| topic | Access Artificial Intelligence and Machine Learning General Access Artificial Intelligence and Machine Learning |
| url | https://link.springer.com/article/10.1007/s44163-026-01619-z |