Developing a Construction Domain–Specific Artificial Intelligence Language Model for NCDOT’s CLEAR Program to Promote Organizational Innovation and Institutional Knowledge-Reference-Cited by-同舟云学术

Developing a Construction Domain–Specific Artificial Intelligence Language Model for NCDOT’s CLEAR Program to Promote Organizational Innovation and Institutional Knowledge

Published:2023-05 Issue:3 Volume:37 Page:
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Banerjee Siddharth¹^ORCID,Potts Colin M.²^ORCID,Jhala Arnav H.³,Jaselskis Edward J.⁴

Affiliation:

1. Assistant Professor in Residence, Dept. of Civil Engineering and Construction, Bradley Univ., Peoria, IL 61625 (corresponding author). ORCID: .

2. Postdoctoral Associate, Dept. of Computer Science, North Carolina State Univ., Raleigh, NC 27606. ORCID: .

3. Associate Professor, Dept. of Computer Science, North Carolina State Univ., Raleigh, NC 27606.

4. E.I. Clancy Distinguished Professor, Dept. of Civil, Construction and Environmental Engineering, North Carolina State Univ., Raleigh, NC 27695.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JCCEE5.CPENG-4868

Reference56 articles.

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2. Tacit and explicit knowledge in construction management

3. Early Impacts of the COVID-19 Pandemic on the United States Construction Industry

4. Harnessing Knowledge Management to Improve Organisational Performance

5. Knowledge Management in Construction

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