Comparative evaluation of machine learning and LLM-based approaches for construction accident prediction

High injury and fatality rates in the construction industry continue to result in significant human and economic losses. To improve construction safety, construction accident prediction has become a critical component of safety management by leveraging machine learning (ML) and deep learning (DL) ap...

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Autors principals:	SeungJu Park, KiHyun Jeong, Jinwoo Kim, HyunSoo Kim, SungHwan Yoon, Jaeyoon Kim, JungHo Jeon
Format:	Artigo
Idioma:	Inglês
Publicat:	Taylor & Francis Group 2026-01-01
Col·lecció:	Journal of Asian Architecture and Building Engineering
Matèries:	construction safety construction accident severity prediction machine learning large language models
Accés en línia:	http://dx.doi.org/10.1080/13467581.2026.2622236
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