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Refinement of Individual Tree Detection Results Obtained from Airborne Laser Scanning Data for a Mixed Natural Forest
(MDPI, 2022)
Numerous semi- and fully-automatic algorithms have been developed for individual tree detection from airborne laser-scanning data, but different rates of falsely detected treetops also accompany their results. In this ...
Kartiranje šumske vegetacije na osnovu podataka satelitskog osmatranja Zemlje korišćenjem tehnika mašinskog učenja / Mapping Forest Vegetation from Satellite Earth Observation Data Using Machine Learning Techniques
(2022)
Potrebe za kvalitetnim podacima kvantitativnih i kvalitativnih karakteristika šuma se povećavaju kako je pritisak na ovaj prirodni resurs sve veći. Podaci satelitskog osmatranja Zemlje su se pokazali kao pogodna alternativa ...
Preliminary quantity estimation in construction using machine learning methods
(STEPGRAD2022 - Proceedings of International conference on Contemporary Theory and Practice in Construction XV, 2022)
This paper analyses the problem of estimating the required quantities of major work items in the construction of residential and residential-commercial buildings using machine learning algorithms. The goal is to form a ...
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 ...
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 ...