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Primena mašinskog učenja za procenu cena i količina radova pri izgradnji stambenih i stambeno-poslovnih objekata
(Udruženje inženjera građevinarstva, geotehnike, arhitekture i urbanista "Izgradnja", 2021)
Ovaj rad se bavi problemom procena potrebnih količina radova, kao i koštanja izgradnje stambenih i stambeno-poslovnih objekata korišćenjem algoritama mašinskog učenja. Osnovni cilj je analiza mogućnosti primene mašinskog ...
The Extension of IFC For Supporting 3D Cadastre LADM Geometry
(MDPI, 2021)
The growth of densely populated urban areas has caused traditional cadastral registration systems to face many difficulties in representing complex and multilevel property situations on 2D maps. These challenges, combined ...
Construction cost estimation of reinforced and prestressed concrete bridges using machine learning
(Građevinar, 2021)
Seven state-of-the-art machine learning techniques for estimation of construction
costs of reinforced-concrete and prestressed concrete bridges are investigated in this
paper, including artificial neural networks (ANN) ...
Estimating residual value of heavy construction equipment using ensemble learning
(http://cedb.asce.org, 2021)
Knowing the right moment for the sale of used heavy construction equipment is important information for every construction company. The proposed methodology uses ensemble machine learning techniques to estimate the price ...
Allocation and Selection of equipment for concrete works using Fuzzy Linear Programming
(Belgrade, Serbia: Society for Materials and Structures Testing of SerbiaBelgrade, Serbia: University of Belgrade Faculty of Civil EngineeringBelgrade, Serbia : Association of Structural Engineers of Serbia, 2021)
The aim of this research is focused on the problem of allocation and selection of the construction equipment when construction firms bid for construction projects. The main objective of the selection of construction equipment ...
Development and Implementation of Evaluation Framework for Quality Enhancement of Outcome-Based Curriculum
(International Journal of Engineering Education, 2021)
Evaluation to improve teaching and learning is essential for achieving the objectives of higher education programs. While structural and organisational aspects of teaching are frequently assessed, programme evaluation tools ...
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 ...