{
  "id": 8771,
  "url": "https://doi.org/10.1016/j.jobe.2020.101827",
  "title": "Deep learning in the construction industry: A review of present status and future innovations",
  "summary": "The construction industry is known to be overwhelmed with resource planning, risk management and logistic challenges which often result in design defects, project delivery delays, cost overruns and contractual disputes. These challenges have instigated research in the application of advanced machine learning algorithms such as deep learning to help with diagnostic and prescriptive analysis of causes and preventive measures. However, the publicity created by tech firms like Google, Facebook and A",
  "authors": "Taofeek Akinosho, Lukumon O. Oyedele, Muhammad Bilal, Anuoluwapo Ajayi, Manuel Davila Delgado, Olúgbénga O. Akinadé",
  "category": "research",
  "topics": "healthcare",
  "orgs": "google,meta",
  "regions": null,
  "published_at": "2020-09-18T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:33:43.491Z",
  "source_slug": "openalex",
  "source_name": "OpenAlex",
  "source_homepage": "https://openalex.org",
  "ethics_ai_record_url": "https://ethics.ai/record/8771",
  "original_url": "https://doi.org/10.1016/j.jobe.2020.101827",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}