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Urban mining potential in Serbia: Case study of residential building material stock
(Building Materials and Structures, 2022)
As governments worldwide attempt to develop sustainable waste management strategies, massive amounts of waste have been accumulating. However, developing an effective waste management strategy requires a thorough understanding ...
Primena informacionih tehnologija u građevinarstvu / Information technology application in construction industry
(Savez građevinskih inženjera i tehničara Srbije, 2004)
U ovom radu se razmatra primena informacionih tehnologija u građevinskim preduzećima. Primena novih tehnologija otvara nove mogućnosti ali istovremeno pred građevinske firme postavlja i dodatne zahteve. U radu su istaknute ...
Application of Artificial Intelligence for the Estimation of Concrete and Reinforcement Consumption in the Construction of Integral Bridges
(Hindawi, 2020)
Estimation of basic material consumption in civil engineering is very important in the initial phases of project implementation. Its
importance is reflected in the impact of material quantities on forming the prices of ...
Early Highway Construction Cost Estimation: Selection of Key Cost Drivers
(MDPI, 2023)
Cost estimates in the early stages of project development are essential for making the right deci-sions, but they are a huge challenge and risk for owners and potential contractors due to limited information about the ...
Broadening the urban sustainable energy diapason through energy recovery from waste: A feasibility study for the capital of Serbia
(Elsevier Ltd, 2017)
Metropolitan areas are large consumers of energy and there is a growing need to broaden the urban sustainable energy diapason and increase the share of renewable and sustainable energy in overall energy consumption. This ...
Application of artificial neural networks for hydrological modelling in karst
(Union of Croatian Civil Engineers and Technicians, 2018)
The possibility of short-term water flow forecasting in a karst region is presented in this paper. Four state-of-the-art machine learning algorithms are used for the one day ahead forecasting: multi-layer perceptron neural ...