NLP for Automated Discovery and Assessment of Dominant Construction and Maintenance Work Order Activities in MEP Projects-Reference-Cited by-同舟云学术

NLP for Automated Discovery and Assessment of Dominant Construction and Maintenance Work Order Activities in MEP Projects

Published:2024-03-18 Issue: Volume: Page:
ISSN:
Container-title:Construction Research Congress 2024
language:
Short-container-title:

Author:

Lagunas Araham Jesus Martinez¹¹²,Abbaspour Soroush¹¹²,Nik-Bakht Mazdak¹¹²

Affiliation:

1. Compleccity Research Laboratory, Dept. of Building, Civil, and Environmental Engineering, Concordia Univ., Montreal, QC. ORCID: .

2. Associate Professor, Dept. of Building, Civil, and Environmental Engineering, Concordia Univ., Montreal, QC. ORCID: .

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784485262.018

Reference20 articles.

1. A framework to implement augmented reality based on BIM to improve operation and maintenance of mechanical facilities of commercial complexes;Alijani Mamaghani O.;F,2023

2. Besiktepe D. M. E. Ozbek and R. A. Atadero. 2019. “Analysis of the maintenance work order data in educational institutions.” Proceedings of International Structural Engineering and Construction (D. Ozevin H. Ataei M. Modares A. P. Gurgun S. Yazdani and A. Singh eds.) 6 (1). https://doi.org/10.14455/ISEC.res.2019.18.

3. Analysis of building maintenance requests using a text mining approach: building services evaluation

4. BIM-based big data analytic system for healthcare facility management

5. Text-mining building maintenance work orders for component fault frequency

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