Comparing machine learning and rule-based inferencing for semantic enrichment of BIM models-Reference-Cited by-同舟云学术

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Comparing machine learning and rule-based inferencing for semantic enrichment of BIM models

Published:2018-07 Issue: Volume:91 Page:256-272
ISSN:0926-5805
Container-title:Automation in Construction
language:en
Short-container-title:Automation in Construction

Author:

Bloch Tanya,Sacks Rafael^ORCID

Publisher

Elsevier BV

Subject

Building and Construction,Civil and Structural Engineering,Control and Systems Engineering

Reference57 articles.

1. Automatic rule-based checking of building designs;Eastman;Autom. Constr.,2009

2. Building information modeling for sustainable design and LEED? Rating analysis;Azhar;Autom. Constr.,2011

3. BIM Handbook: A Guide to Building Information Modeling for Owners, Managers, Designers, Engineers and Contractors;Eastman,2011

4. Reduction, simplification, translation and interpretation in the exchange of model data;Bazjanac,2007

5. Semantic enrichment for building information modeling;Belsky;Comput.-Aided Civ. Infrastruct. Eng.,2016

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1. Semantic enrichment for BIM-based building energy performance simulations using semantic textual similarity and fine-tuning multilingual LLM;Journal of Building Engineering;2024-10

2. Intermediate representations to improve the semantic parsing of building regulations;Advanced Engineering Informatics;2024-10

3. Classification of architectural and MEP BIM objects for building performance evaluation;Advanced Engineering Informatics;2024-08

4. Automatic Fine-Grained BIM element classification using Multi-Modal deep learning (MMDL);Advanced Engineering Informatics;2024-08

5. BIM-based automated fault detection and diagnostics of HVAC systems in commercial buildings;Journal of Building Engineering;2024-06

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