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Prediction of aircraft noise using machine learning
(Silesian University Press, Gliwice, Poland, 2021)
In this paper an attempt has been made to predict and evaluate the aircraft-induced noise using model developed by means of machine learning. First step in the development of the model was to artificially calculate noise ...
Prediction of aircraft noise using machine learning
(2021)
In this paper an attempt has been made to predict and evaluate the aircraft-induced noise using model
developed by means of machine learning. First step in the development of the model was to artificially
calculate noise ...
Preliminary quantity estimation in construction using machine learning methods
(STEPGRAD2022 - Proceedings of International conference on Contemporary Theory and Practice in Construction XV, 2022)
This paper analyses the problem of estimating the required quantities of major work items in the construction of residential and residential-commercial buildings using machine learning algorithms. The goal is to form a ...
A Comparative Study of ML and FEM Models for the Prediction of Seismic Structural Behavior
(International Conference Natural Resources and Environmental Risks: Towards a Sustainable Future, Building of Branch of the Serbian Academy of Sciences and Arts in Novi Sad, Serbia, 2023)
During the last several decades, the finite element method (FEM) is the most commonly used numerical method for performing seismic structural analysis. It requires careful structural modeling, but also the adjustment of ...
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 ...