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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 ...
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. ...
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 ...
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 ...