Robotics & Machine Learning Daily News2024,Issue(Sep.20) :58-58.

Research from Peter the Great St. Petersburg Polytechnic University in Machine L earning Provides New Insights (Machine learning model for the BIM classification in IFC format)

Robotics & Machine Learning Daily News2024,Issue(Sep.20) :58-58.

Research from Peter the Great St. Petersburg Polytechnic University in Machine L earning Provides New Insights (Machine learning model for the BIM classification in IFC format)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news originating from Peter the Great St. Pe tersburg Polytechnic University by NewsRx editors, the research stated, “In the rapid development of information technology in the field of Building Information Modeling (BIM) there is a growing need for efficient classification of construc tion information.” The news editors obtained a quote from the research from Peter the Great St. Pet ersburg Polytechnic University: “One of the key steps to move towards digital co nstruction involves creating reliable systems for classifying BIM elements, prov iding the foundation for various use cases, from facilitating model navigation t o obtaining practical outcomes such as cost estimates and materials quantities. However, the BIM classification process in practice is labor-intensive and time- consuming and leads to an increase in the cost. This study explores the applicat ion of an innovative method, based on artificial intelligence algorithms. This m ethod automates the assignment of codes to information model components. The res earch investigates classification systems, machine learning models and selects t he most accurate one for the classification task. It is based on metrics such as accuracy and F1-score in order to achieve an optimal balance between the effici ency and accuracy according to predefined parameters.”

Key words

Peter the Great St. Petersburg Polytechn ic University/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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