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Приказ резултата 31-40 од 40
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
Primena BIM-a u upravljanju projektima - kako boljim projektovanjem smanjiti probleme u izvođenju
(Konferencija - 16. kongres DGKS 2022, 28 - 30. 9, Aranđelovac, 2022)
Uspešno upravljanje projektima podrazumeva maksimalno ostvarenje ciljeva projekta uz minimalne probleme u realizaciji. Preduslov za prvo je kreativni a za drugo tehnički kvalitet projektovanja. U radu je predstavljen model ...
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 ...