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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 ...
Sustainability assessment of recycled aggregate concrete structures: A critical view on the current state-of-knowledge and practice
(Wiley, 2023)
The environmental impacts of activities such as raw material extraction, construction
of infrastructure, and demolition, place construction as one of the
sectors that exert the highest pressures on the environment, ...
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Climate change, energy transition, population growth and other natural and anthropogenic impacts, combined with outdated (unfashionable) infrastructure, can force Dam and Reservoir Systems (DRS) operation outside of the ...
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 ...
Geometrical, Fresnel, and Fraunhofer Regimes of Single-Slit Diffraction
(American Institute of Physics Inc., 2019)