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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 ...
Assessment of water resources system resilience under hazardous events using system dynamic approach and artificial neural networks
(IWA Publishing, 2023)
The objective of this research is to propose a novel framework for assessing the consequences of hazardous events on a water resources system using dynamic resilience. Two types of hazardous events were considered: a severe ...
Random Forest Spatial Interpolation
(MDPI, 2020)
For many decades, kriging and deterministic interpolation techniques, such as inverse distance weighting and nearest neighbour interpolation, have been the most popular spatial interpolation techniques. Kriging with external ...
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 ...
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) ...
Kartiranje šumske vegetacije na osnovu podataka satelitskog osmatranja Zemlje korišćenjem tehnika mašinskog učenja / Mapping Forest Vegetation from Satellite Earth Observation Data Using Machine Learning Techniques
(2022)
Potrebe za kvalitetnim podacima kvantitativnih i kvalitativnih karakteristika šuma se povećavaju kako je pritisak na ovaj prirodni resurs sve veći. Podaci satelitskog osmatranja Zemlje su se pokazali kao pogodna alternativa ...
Spatio-temporal interpolation of climate elements using geostatistics and machine learning
(Универзитет у Београду, Грађевински факултет, 09-04-2021)
High resolution daily maps for climate elements are a valuable source of information and serve as aninput for climatology, meteorology, agriculture, hydrology, ecology, and many other research areasand disciplines. ...
Refinement of Individual Tree Detection Results Obtained from Airborne Laser Scanning Data for a Mixed Natural Forest
(MDPI, 2022)
Numerous semi- and fully-automatic algorithms have been developed for individual tree detection from airborne laser-scanning data, but different rates of falsely detected treetops also accompany their results. In this ...
Combining machine learning and spatial data processing techniques for allocation of large-scale nature-based solutions
(Blue-Green Systems, 2023)
The escalating impacts of climate change trigger the necessity to deal with hydro-meteorological hazards. Nature-based solutions (NBSs) seem to be a suitable response, integrating the hydrology, geomorphology, hydraulic, ...
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 ...