Workforce forecasting in the building maintenance and repair work: Evaluating machine learning and LSTM models-Reference-Cited by-同舟云学术

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Workforce forecasting in the building maintenance and repair work: Evaluating machine learning and LSTM models

Published:2024-10 Issue: Volume:95 Page:110125
ISSN:2352-7102
Container-title:Journal of Building Engineering
language:en
Short-container-title:Journal of Building Engineering

Author:

Cao Nan^ORCID,Sing Michael C.P.

Publisher

Elsevier BV

Reference58 articles.

1. A research framework of mitigating construction accidents in high-rise building projects via integrating building information modeling with emerging digital technologies;Manzoor;Appl. Sci.,2021

2. Risk identification and assessment in sustainable construction projects in the UAE;El-Sayegh;International Journal of Construction Management,2021

3. How innovation champions frame the future: three visions for digital transformation of construction;Ernstsen;J. Construct. Eng. Manag.,2020

4. Blockchain and building information management (BIM) for sustainable building development within the context of smart cities;Liu;Sustainability,2021

5. A bibliometric review of research on sustainable construction, 1994–2018;Udomsap;J. Clean. Prod.,2020

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