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Failure Conditions Assessment of Complex Water Systems Using Fuzzy Logic
(Springer Link, 2023)
Climate change, energy transition, population growth and other natural and anthropogenic impacts, combined with outdated (unfashionable) infrastructure, can force Dam and Reservoir Systems (DRS) operation outside of the ...
Application of seismic tomography for assessment of the railway substructure condition
(SAGE Publications Ltd, 2018)
This article presents results obtained in the research conducted on railway infrastructure in Serbia, which aimed at prediction of substructure condition based on the analysis of track quality. It presents the results of ...
Geometrical, Fresnel, and Fraunhofer Regimes of Single-Slit Diffraction
(American Institute of Physics Inc., 2019)
Long-term rockslope monitoring and rockfall prediction
(International Association for Engineering Geology and the Environment, 2021)
Rapid earthquake loss assessment based on machine learning and representative sampling
(Earthquake Spectra, 2021)
This paper proposes a new framework for rapid earthquake loss assessment based on a machine learning damage classification model and a representative sampling algorithm. A Random Forest classification model predicts a ...
Design of median ends at at-grade intersection layout plans
(Department of Transportation, Faculty of Civil Engineering, University of Zagreb, Croatia, 2021)
Median represents a portion of an urban road separating opposing directions of the traveled
way. Due to their function to provide enough space for separate traffic lane and storage of
left-turning vehicles, the medians ...
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 ...