Automated Quality Control

Automated Quality Control is a formal method in construction automation that systematically verifies compliance with specified quality standards through the integration of sensor technologies, data analytics, and decision algorithms to identify deviations in real time without manual intervention.

129

Publications

7.4K

Citations

599

Authors

302

Institutions

Publications per year

2017–2026

59

Authors

599

  1. OO
    Ozan Oktay

    Imperial College London, United Kingdom

    2 publications · 48 citations

    2

    h-index

  2. RA
    Russell A. Poldrack

    Stanford University, United States

    2 publications · 1.1K citations

    2

    h-index

  3. OK
    Oluwasanmi Koyejo

    Stanford University, United States

    2 publications · 1.1K citations

    2

    h-index

  4. WB
    Wenjia Bai

    Imperial College London, United Kingdom

    2 publications · 48 citations

    2

    h-index

  5. EG
    Ernest Garcia

    Emory University, United States

    2 publications · 56 citations

    2

    h-index

1–5 of 599

Venues

  1. Journal of Atmospheric and Oceanic Technology

    4 publications · 116 citations

    4

    h-index

  2. NeuroImage

    3 publications · 457 citations

    3

    h-index

  3. 3

    h-index

  4. Bioinformatics

    3 publications · 84 citations

    3

    h-index

  5. F1000Research

    3 publications · 84 citations

    3

    h-index

1–5