0
  • DE
  • EN
  • FR
  • Internationale Datenbank und Galerie für Ingenieurbauwerke

Anzeige

Seokjae Heo ORCID

Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. Choi, Wonjun / Na, Seunguk / Heo, Seokjae (2024): Integrating Drone Imagery and AI for Improved Construction Site Management through Building Information Modeling. In: Buildings, v. 14, n. 4 (27 März 2024).

    https://doi.org/10.3390/buildings14041106

  2. Na, Seunguk / Heo, Seokjae / Choi, Wonjun / Kim, Cheekyung / Whang, Seoung Wook (2023): Artificial Intelligence (AI)-Based Technology Adoption in the Construction Industry: A Cross National Perspective Using the Technology Acceptance Model. In: Buildings, v. 13, n. 10 (10 Oktober 2023).

    https://doi.org/10.3390/buildings13102518

  3. Heo, Seokjae / Na, Seunguk / Choi, Wonjun (2023): Serviceability Evaluation of High-Rise Buildings Exposed to Typhoon Proximity Effects Using ISO10137 and ISO6897. In: Buildings, v. 13, n. 8 (2 August 2023).

    https://doi.org/10.3390/buildings13082119

  4. Na, Seunguk / Heo, Seokjae / Choi, Wonjun / Han, Sehee / Kim, Cheekyung (2023): Firm Size and Artificial Intelligence (AI)-Based Technology Adoption: The Role of Corporate Size in South Korean Construction Companies. In: Buildings, v. 13, n. 4 (24 März 2023).

    https://doi.org/10.3390/buildings13041066

  5. Na, Seunguk / Heo, Seokjae / Han, Sehee / Shin, Yoonsoo / Roh, Youngsook (2022): Acceptance Model of Artificial Intelligence (AI)-Based Technologies in Construction Firms: Applying the Technology Acceptance Model (TAM) in Combination with the Technology–Organisation–Environment (TOE) Framework. In: Buildings, v. 12, n. 2 (18 Januar 2022).

    https://doi.org/10.3390/buildings12020090

  6. Na, Seunguk / Heo, Seokjae / Han, Sehee / Shin, Yoonsoo / Lee, Myeunghun (2022): Development of an Artificial Intelligence Model to Recognise Construction Waste by Applying Image Data Augmentation and Transfer Learning. In: Buildings, v. 12, n. 2 (18 Januar 2022).

    https://doi.org/10.3390/buildings12020175

  7. Heo, Seokjae / Na, Seunguk / Hur, Moo-Won / Lee, SangHyun (2021): Evaluating the Vertical Extension Module of a Building with Installed Rotary Dampers at Joints. In: Buildings, v. 11, n. 11 (8 November 2021).

    https://doi.org/10.3390/buildings11110536

Eine Veröffentlichung suchen...

Nur verfügbar mit
Mein Structurae

Volltext
Structurae kooperiert mit
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine