Identifying and predicting key industry–education integration projects via explainable artificial intelligence (XAI) based machine learning models
Background Identifying priority projects in industry–education integration is critical for optimizing policy support and resource allocation. While prior studies have primarily relied on qualitative assessments, there remains a lack of interpretable, data-driven approaches for large-scale priority p...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
PeerJ Inc.
2026-04-01
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| Colecção: | PeerJ Computer Science |
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| Acesso em linha: | https://peerj.com/articles/cs-3868.pdf |
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