Work

Next-Generation Building Condition Assessment: BIM and Neural Network Integration

Year: 2024

Type: article

Source: Journal of Performance of Constructed Facilities

DOI: 10.1061/jpcfev.cfeng-4828

Authors: Mani Amrouni Hosseini, Mehdi Ravanshadnia, Majid Rahimzadegan, Saeed Ramezani

Institutions: Islamic Azad University, Tehran, Islamic Azad University, Science and Research Branch, K. N. Toosi University of Technology, Imam Hossein University

Language: English

Topic: BIM and Construction Integration

Subfield: Building and Construction

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4402900937

FWCI: 4.111

Cites: 58

Cited by: 20

Related to: 10