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Kanghyeok Yang

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

  1. Gong, Yue / Yang, Kanghyeok / Seo, JoonOh / Lee, Jin Gang (2022): Wearable acceleration-based action recognition for long-term and continuous activity analysis in construction site. In: Journal of Building Engineering, v. 52 (Juli 2022).

    https://doi.org/10.1016/j.jobe.2022.104448

  2. Lee, Hoonyong / Yang, Kanghyeok / Kim, Namgyun / Ahn, Changbum R. (2020): Detecting excessive load-carrying tasks using a deep learning network with a Gramian Angular Field. In: Automation in Construction, v. 120 (Dezember 2020).

    https://doi.org/10.1016/j.autcon.2020.103390

  3. Ahn, Changbum R. / Lee, SangHyun / Sun, Cenfei / Jebelli, Houtan / Yang, Kanghyeok / Choi, Byungjoo (2019): Wearable Sensing Technology Applications in Construction Safety and Health. In: Journal of Construction Engineering and Management, v. 145, n. 11 (November 2019).

    https://doi.org/10.1061/(asce)co.1943-7862.0001708

  4. Yang, Kanghyeok / Ahn, Changbum R. / Kim, Hyunsoo (2019): Validating ambulatory gait assessment technique for hazard sensing in construction environments. In: Automation in Construction, v. 98 (Februar 2019).

    https://doi.org/10.1016/j.autcon.2018.09.017

  5. Yang, Kanghyeok / Ahn, Changbum R. / Vuran, Mehmet C. / Kim, Hyunsoo (2017): Collective sensing of workers' gait patterns to identify fall hazards in construction. In: Automation in Construction, v. 82 (Oktober 2017).

    https://doi.org/10.1016/j.autcon.2017.04.010

  6. Yang, Kanghyeok / Ahn, Changbum R. / Vuran, Mehmet C. / Aria, Sepideh S. (2016): Semi-supervised near-miss fall detection for ironworkers with a wearable inertial measurement unit. In: Automation in Construction, v. 68 (August 2016).

    https://doi.org/10.1016/j.autcon.2016.04.007

  7. Kim, Hyunsoo / Ahn, Changbum R. / Yang, Kanghyeok (2017): Identifying Safety Hazards Using Collective Bodily Responses of Workers. In: Journal of Construction Engineering and Management, v. 143, n. 2 (Februar 2017).

    https://doi.org/10.1061/(asce)co.1943-7862.0001220

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