RETRACTED: Enhancing Data Quality Management in Structural Health Monitoring through Irregular Time-Series Data Anomaly Detection Using IoT Sensors (Buildings, (2024), 14, 7, (2223), 10.3390/buildings14072223)

Junhwi Cho, Kyoung Jae Lim, Jonggun Kim, Yongchul Shin, Youn Shik Park, Jaeheum Yeon

Research output: Contribution to journalComment/debate

Abstract

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.

Original languageEnglish
Article number3223
JournalBuildings
Volume14
Issue number10
DOIs
StatePublished - Oct 2024

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