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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 ...
Layerwise finite element for free vibration of geometricaly imperfect composite plates
(UNIVERSITY OF MONTENEGRO FACULTY OF CIVIL ENGINEERING, 2022)
After establishing the accuracy of the present layerwise model for linear and geometrically nonlinear bending, vibration and buckling analysis of laminated composite and sandwich plates subjected to mechanical load, as ...
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 ...
Mac2
(Građevinski fakultet, Univerziteta u Beogradu, 1996)
Program (softver) za proračun ravanskog neustaljenog tečenja primenom eksplicitne računske sheme MacCormack
Efficient discretization of circular cross-section in fiber beam/column element
(The 16th International Conference on Civil, Structural & Environmental Engineering Computing, Riva del Garda, Italy, 2019)
An improved semi-analytical solution for determining water permeability of highly pervious porous materials
(16th International Conference on Urban Drainage, Delft, June, 2024, 2024)
Detection and In-Depth Analysis of Causes of Delay in Construction Projects: Synergy between Machine Learning and Expert Knowledge
(Sustainability, 2022)
Due to numerous reasons, construction projects often fail to achieve the planned duration. Detecting causes of delays (CoD) is the first step in eliminating or mitigating potential delays in future projects. The goal of ...
Circular Economy Innovation in Urban Infrastructure: Harnessing the Power of Solidified WWTP Sludge in Porous Concrete Pavements for Flood-Resilient Cities
(Delft University of Technology, NL, 2024)
- Incorporating waste materials into useful building materials and environmental benefits;
- Understanding benefits of the addition of solidified wastewater treatment sludge (SWWTS) to porous concrete pavements;
- Wise ...
Geometrical, Fresnel, and Fraunhofer Regimes of Single-Slit Diffraction
(American Institute of Physics Inc., 2019)