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Retraction

RETRACTED: Cho et al. Enhancing Data Quality Management in Structural Health Monitoring through Irregular Time-Series Data Anomaly Detection Using IoT Sensors. Buildings 2024, 14, 2223

1
Department of Regional Infrastructure Engineering, Kangwon National University, Chuncheon 24341, Republic of Korea
2
Department of Agricultural Civil Engineering, Kyungpook National University, Daegu 41566, Republic of Korea
3
Department of Rural Construction Engineering, Kongju National University, Yesan 32439, Republic of Korea
*
Author to whom correspondence should be addressed.
Buildings 2024, 14(10), 3223; https://doi.org/10.3390/buildings14103223
Submission received: 31 August 2024 / Accepted: 31 August 2024 / Published: 11 October 2024
The journal retracts the article “Enhancing Data Quality Management in Structural Health Monitoring through Irregular Time-Series Data Anomaly Detection Using IoT Sensors” [1], cited above.
Following publication, the authors reached out to the Editorial Office to raise concerns relating to the reliability of the findings presented in this study [1].
Adhering to our standard procedure, the Editorial Office and Editorial Board conducted an investigation that confirmed the presence of fundamental errors in the experimental design that compromise the reliability of the overall findings. As a result, the Editorial Board, the authors, and a representative from the Department of Regional Infrastructure Engineering in Kangwon National University have agreed to retract this article [1], as per MDPI’s retraction policy (https://www.mdpi.com/ethics#_bookmark30, accessed on 28 May 2024).
This retraction was approved by the Editor-in-Chief of the journal Buildings.
The authors agreed to this retraction.

Reference

  1. Cho, J.; Lim, K.J.; Kim, J.; Shin, Y.; Park, Y.S.; Yeon, J. RETRACTED: Enhancing Data Quality Management in Structural Health Monitoring through Irregular Time-Series Data Anomaly Detection Using IoT Sensors. Buildings 2024, 14, 2223. [Google Scholar] [CrossRef]
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Share and Cite

MDPI and ACS Style

Cho, J.; Lim, K.J.; Kim, J.; Shin, Y.; Park, Y.S.; Yeon, J. RETRACTED: Cho et al. Enhancing Data Quality Management in Structural Health Monitoring through Irregular Time-Series Data Anomaly Detection Using IoT Sensors. Buildings 2024, 14, 2223. Buildings 2024, 14, 3223. https://doi.org/10.3390/buildings14103223

AMA Style

Cho J, Lim KJ, Kim J, Shin Y, Park YS, Yeon J. RETRACTED: Cho et al. Enhancing Data Quality Management in Structural Health Monitoring through Irregular Time-Series Data Anomaly Detection Using IoT Sensors. Buildings 2024, 14, 2223. Buildings. 2024; 14(10):3223. https://doi.org/10.3390/buildings14103223

Chicago/Turabian Style

Cho, Junhwi, Kyoung Jae Lim, Jonggun Kim, Yongchul Shin, Youn Shik Park, and Jaeheum Yeon. 2024. "RETRACTED: Cho et al. Enhancing Data Quality Management in Structural Health Monitoring through Irregular Time-Series Data Anomaly Detection Using IoT Sensors. Buildings 2024, 14, 2223" Buildings 14, no. 10: 3223. https://doi.org/10.3390/buildings14103223

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