ANALYSIS OF THE USE OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES FOR MONITORING THE PROGRESS OF INSTALLATION WORKS

Objective. To determine the most effective artificial intelligence technology for monitoring the progress of installation works. Methodology. To solve the task we used a comprehensive approach with the application of special research methods, including analysis, explanation, generalization, comparison. Results. The conducted research allowed to reveal the dependence on the conditions of objects, where installation works are carried out, and the effectiveness of using one or another technology of artificial intelligence. Practical significance. The results of the study provide more detailed information for practitioners on the choice of more effective artificial intelligence technology depending on the conditions of the construction site.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-20
DOI
https://doi.org/10.5281/zenodo.14909955
Primary Topic
Construction Management and Sustainability
Type
article
Field-Weighted Citation Impact
0.00
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article

ANALYSIS OF THE USE OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES FOR MONITORING THE PROGRESS OF INSTALLATION WORKS

Zenodo (CERN European Organization for Nuclear Research)
Construction Management and Sustainability
article

ANALYSIS OF THE USE OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES FOR MONITORING THE PROGRESS OF INSTALLATION WORKS

article en

Abstract

Objective. To determine the most effective artificial intelligence technology for monitoring the progress of installation works. Methodology. To solve the task we used a comprehensive approach with the application of special research methods, including analysis, explanation, generalization, comparison. Results. The conducted research allowed to reveal the dependence on the conditions of objects, where installation works are carried out, and the effectiveness of using one or another technology of artificial intelligence. Practical significance. The results of the study provide more detailed information for practitioners on the choice of more effective artificial intelligence technology depending on the conditions of the construction site.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 52%
Construction Management and Sustainability
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ANALYSIS OF THE USE OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES FOR MONITORING THE PROGRESS OF INSTALLATION WORKS · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS