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Highway Construction Cost Estimation: Identification and Analysis of the Owners’ Perceptions on Cost Drivers
(Department of Civil Engineering and Geodesy, Faculty of Technical Sciences, University of Novi Sad, 2023)
Highway construction cost estimates in the early stages of the project can be characterized as quite challenging and risky. Determination of the cost drivers on which the cost estimates are based requires a certain effort ...
Rapid earthquake loss assessment based on machine learning and representative sampling
(Earthquake Spectra, 2021)
This paper proposes a new framework for rapid earthquake loss assessment based on a machine learning damage classification model and a representative sampling algorithm. A Random Forest classification model predicts a ...
Primena BIM-a u upravljanju projektima - kako boljim projektovanjem smanjiti probleme u izvođenju
(Konferencija - 16. kongres DGKS 2022, 28 - 30. 9, Aranđelovac, 2022)
Uspešno upravljanje projektima podrazumeva maksimalno ostvarenje ciljeva projekta uz minimalne probleme u realizaciji. Preduslov za prvo je kreativni a za drugo tehnički kvalitet projektovanja. U radu je predstavljen model ...
Compensating the lack of big data in construction industry with expert knowledge: a case study
(1st Serbian International Conference on Applied Artificial Intelligence (SICAAI) Kragujevac, Serbia, May 19-20, 2022, 2022)
Due to various reasons, there is a lack of big data in the construction industry, one of the main obstacles to a broader implementation of AI. Another obstacle is adhering to analytical methods in fields more suitable for ...
Detection and In-Depth Analysis of Causes of Delay in Construction Projects: Synergy between Machine Learning and Expert Knowledge
(Sustainability, 2022)
Due to numerous reasons, construction projects often fail to achieve the planned duration. Detecting causes of delays (CoD) is the first step in eliminating or mitigating potential delays in future projects. The goal of ...