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Artificial intelligence and smart vision for building and construction 4.0: Machine and deep learning methods and applications

📅 June 24, 2022 👤 Shanaka Kristombu Baduge, Sadeep Thilakarathna, Jude Shalitha Perera et al. 📖 Automation in Construction 📊 909 citations

🤖 Plain-English Summary

This article presents a advanced review of the applications of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) in building and construction industry 4.0 in the facets of architectural design and visualization; material design and optimization; structural design and analysis; offsite manufacturing and automation; construction management, progress monitoring, and safety; smart operation, building management and health monitoring; and durability, life cycle analysis, and...

🔑 Key Findings

  • This paper presents a unique perspective on applications of AI/DL/ML in these domains for the complete building lifecycle, from conceptual stage, design stage, construction stage, operational and maintenance stage until the end of life.
  • Additionally, data collection strategies using smart vision and sensors, data cleaning methods (post-processing), data storage for developing these models are discussed, and the challenges in model development and strategies to overcome these challenges are elaborated.
  • Future trends in these domains and possible research avenues are also presented.

💡 Why This Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

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📋 Article Details

Category 🤖 Artificial Intelligence
Published Jun 24, 2022
Journal Automation in Construction
Authors Shanaka Kristombu Baduge, Sadeep Thilakarathna, Jude Shalitha Perera, Mehrdad Arashpour, P. Sharafi
DOI 10.1016/j.autcon.2022.104440
Citations 909
Source OpenAlex

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