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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 ...
Experimental determination of dynamic parameters of heat passage through the facade wall of a weekend cottage on mountain Kopaonik, Serbia
(Faculty of civil engineering and architecture / University of Niš and Serbian academy of sciences and arts - branch in Niš, 2023)
In this paper, using a dynamic RC model for heat transfer in a room on the ground floor,
the three-time constants of heat transfer that corresponds to the different parts of a
weekend cottage on Kopaonik were determined. ...
Primena AHP metode višekriterijumske optimizacije za izbor krana na velikim investicionim projektima
(Univerzitet u Beogradu, Saobraćajni fakultet, 2020)
Izbor krana na velikim investicionim projektima predstavlja rizičnu aktivnost za postizanje osnovnih
ciljeva projeka. Kao posledica lošeg izbora krana mogu se javiti kašnjenja zbog loše organizacije, kao i prekoračenje ...
Teaching computing for complex problems in civil engineering and geosciences using big data and machine learning: synergizing four different computing paradigms and four different management domains
(Springer, 2023)
This article describes a teaching strategy that synergizes computing and management, aimed at the running of complex projects in industry and academia, in the areas of civil engineering, physics, geosciences, and a number ...
AI in Agriculture
(1st Serbian International Conference on Applied Artificial Intelligence (SICAAI), Kragujevac, Serbia, 2022)
Soil organic carbon represents the main nutrient source for crop yields, which is of great importance to agricultural production. This research investigates the usage of a transfer learning-based neural network model to ...
Heritage Building Information Modeling (HBIM) of the Katholikon of the Studenica Monastery / Digitalno modelovanje objekata kulturnog nasleđa - HBIM na primeru manastira Studenice
(University of Belgrade - Faculty of Architecture, 2022)
Studenica Monastery is the Serbian medieval monument of highest architectural and cultural value, also enlisted on the UNESCO World Heritage Site. This paper presents the role of architectural knowledge and sophisticated ...
A digital solution for unlocking the urban mining potential of the residential building stock through the integration of BIM and GIS
(Conference on interdisciplinary and transdisciplinary research for sustainable development, 2022)
The construction industry consumes up to half of the excavated primary resources and
generates one-third of total waste annually, impacting the environment and society. To
reduce this impact, maintaining the primary ...
Geometry as a common ground for BMS and BIM
(IABSE Symposium, Prague 2022: Challenges for Existing and Oncoming Structures, 2022)
Bridge Management Systems (BMSs) are sophisticated software tools, widely used for managing bridges. Comprising a centralized database of all relevant information for the entire bridge stock and analytics to forecast ...
Application of unstructured text based features in prediction of real estate prices: A comparative study
(2nd Serbian International Conference on Applied Artificial Intelligence (SICAAI) Kragujevac, Serbia, May 19-20, 2023, 2023)
This study demonstrates the potential of application of unstructured textual data for predicting
real estate prices and compares different protocols for extracting features from textual data.
Performance of the different ...
Multi-Objective Optimization Model for The Selection of Measures for Energy Efficient Retrofitting of Building Envelopes
(Proceedings of International Scientific Conference Energy Efficiency and the Fourth Industrial Revolution, 2021)
Within this paper, a multi-criteria decision-making model for evaluating the energy efficiency of building construction measures for new or existing buildings will be presented. The proposed model observes the optimization ...