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Application of Artificial Intelligence for the Estimation of Concrete and Reinforcement Consumption in the Construction of Integral Bridges
(Hindawi, 2020)
Estimation of basic material consumption in civil engineering is very important in the initial phases of project implementation. Its
importance is reflected in the impact of material quantities on forming the prices of ...
Linking BrIM to BMS for bridges – concepts
(IABSE, 2023)
Bridge Information Model (BrIM) is currently replacing drawings as main deliverable in new bridge project.
Several use cases for BrIM over its lifetime is identified, as well as a discussion of the use case potential. ...
Heritage Building Information Modeling (HBIM) of the Katholikon of the Studenica Monastery / Digitalno modelovanje objekata kulturnog nasleđa - HBIM na primeru manastira Studenice
(University of Belgrade - Faculty of Architecture, 2022)
Studenica Monastery is the Serbian medieval monument of highest architectural and cultural value, also enlisted on the UNESCO World Heritage Site. This paper presents the role of architectural knowledge and sophisticated ...
Teaching computing for complex problems in civil engineering and geosciences using big data and machine learning: synergizing four different computing paradigms and four different management domains
(Springer, 2023)
This article describes a teaching strategy that synergizes computing and management, aimed at the running of complex projects in industry and academia, in the areas of civil engineering, physics, geosciences, and a number ...
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 ...
AI in Agriculture
(1st Serbian International Conference on Applied Artificial Intelligence (SICAAI), Kragujevac, Serbia, 2022)
Soil organic carbon represents the main nutrient source for crop yields, which is of great importance to agricultural production. This research investigates the usage of a transfer learning-based neural network model to ...
A digital solution for unlocking the urban mining potential of the residential building stock through the integration of BIM and GIS
(Conference on interdisciplinary and transdisciplinary research for sustainable development, 2022)
The construction industry consumes up to half of the excavated primary resources and
generates one-third of total waste annually, impacting the environment and society. To
reduce this impact, maintaining the primary ...
Multi-Objective Optimization Model for The Selection of Measures for Energy Efficient Retrofitting of Building Envelopes
(Proceedings of International Scientific Conference Energy Efficiency and the Fourth Industrial Revolution, 2021)
Within this paper, a multi-criteria decision-making model for evaluating the energy efficiency of building construction measures for new or existing buildings will be presented. The proposed model observes the optimization ...
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 ...
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 ...