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Приказ резултата 171-180 од 197
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 ...
The impact of architectural conceptual design on profit / Značaj arhitektonskog koncepta za rentabilnost projekata
(Građevinski fakultet, Subotica, 2014)
Highway Construction Cost Estimation: Identification and Analysis of the Owners’ Perceptions on Cost Drivers
(Department of Civil Engineering and Geodesy, Faculty of Technical Sciences, University of Novi Sad, 2023)
Highway construction cost estimates in the early stages of the project can be characterized as quite challenging and risky. Determination of the cost drivers on which the cost estimates are based requires a certain effort ...
2010 Kraljevo Earthquake Recovery Process Metrics Derived from Recorded Reconstruction Data
(16th European Conference on Earthquake Engineering, 2018)
Earthquake resilience starts with a sudden drop of performance when an earthquake strikes followed by a relatively long recovery phase. The dynamics and volume of investment directly affect the rate and level of recovery. ...
Upravljanje procesom izbora ugovorne strategije u građevinarstvu uz promenu teorije fazi (rasplinutih) skupova / Management of Construction Contract Strategy Selection by Applying the Theory of Fuzzy Sets
(2007)
Cilj doktorske disertacije je da se ukaže na značaj izbora ugovome strategy e za
uspešnu realizaciju investicionih projekata i da se predloži postupak za izbor
odgovarajuée strategie primenom fazi logike i fazi ekspertnih ...
Geometry as a common ground for BMS and BIM
(IABSE Symposium, Prague 2022: Challenges for Existing and Oncoming Structures, 2022)
Bridge Management Systems (BMSs) are sophisticated software tools, widely used for managing bridges. Comprising a centralized database of all relevant information for the entire bridge stock and analytics to forecast ...
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 ...
Application of unstructured text based features in prediction of real estate prices: A comparative study
(2nd Serbian International Conference on Applied Artificial Intelligence (SICAAI) Kragujevac, Serbia, May 19-20, 2023, 2023)
This study demonstrates the potential of application of unstructured textual data for predicting
real estate prices and compares different protocols for extracting features from textual data.
Performance of the different ...
Keyphrases analysis of BIM standards through occurrence of most common BIM uses
(The 8th PSU-UNS International Conference on Engineering and Technology (ICET-2017), Novi Sad, Serbia, June 8-10, 2017 University of Novi Sad, Faculty of Technical Sciences, 2017)
The 8th PSU-UNS International Conference on Engineering and
Technology (ICET-2017), Novi Sad, Serbia, June 8-10, 2017
University of Novi Sad, Faculty of Technical Sciences
Abstract: Building Information Modeling (BIM) ...
COVID-19 Struggle and Post-COVID-19 Recovery: Exploring the Governance, Success, and Digital Transition in Construction Projects in Serbia
(Sustainability, 2023)
Construction, one of the largest global economic sectors, has been severely challenged by the economic uncertainties brought on by COVID-19. Since 2020, pandemic-related disruptions and remedial measures have made its ...