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Correction to Buildings 2023, 13(4), 946.
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Correction

Correction: Al-Refaie et al. Prediction of Maintenance Activities Using Generalized Sequential Pattern and Association Rules in Data Mining. Buildings 2023, 13, 946

by
Abbas Al-Refaie
1,
Banan Abu Hamdieh
1 and
Natalija Lepkova
2,*
1
Department of Industrial Engineering, The University of Jordan, Amman 11942, Jordan
2
Department of Construction Management and Real Estate, Faculty of Civil Engineering, Vilnius Gediminas Technical University, Sauletekio Av. 11, 10223 Vilnius, Lithuania
*
Author to whom correspondence should be addressed.
Buildings 2026, 16(7), 1272; https://doi.org/10.3390/buildings16071272
Submission received: 17 March 2026 / Accepted: 19 March 2026 / Published: 24 March 2026
(This article belongs to the Section Construction Management, and Computers & Digitization)
Versions Notes
There was an error in the original publication [1]. A correction has been made to the Introduction section. The below content has been removed in the fifth paragraph:
“Lv et al. [23] proposed a complex data fusion and efficient learning algorithm (multi-graphics processing unit (GPU)) to process the multi-dimensional and complex big data based on the compositive rough set model. Zhang et al. [24] proposed a novel category-induced coarse-to-fine domain adaptation approach (C2FDA) for cross-domain object detection. Zhang et al. [25] analyzed the problems of existing container positioning methods and proposed a vision-based container position measuring system to provide precise parameters for container lifting operations.”
The below corresponding references [23–25] have been removed as well, and with this correction, the order of some references has been adjusted accordingly.
23. Lv, Z.; Chen, D.; Lv, H. Smart City Construction and Management by Digital Twins and BIM Big Data in COVID-19 Scenario. ACM Trans. Multimedia Comput. Commun. Appl. 2022, 18, 1–21.
24. Zhang, H.; Luo, G.; Li, J.; Wang, F.-Y. C2FDA: Coarse-to-Fine Domain Adaptation for Traffic Object Detection. IEEE Trans. Intell. Transp. Syst. 2022, 23, 12633–12647.
25. Zhang, Y.; Huang, Y.; Zhang, Z.; Postolache, O.; Mi, C. A vision-based container position measuring system for ARMG. Meas. Control. 2022, 56, 3–4.
The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

Reference

  1. Al-Refaie, A.; Abu Hamdieh, B.; Lepkova, N. Prediction of Maintenance Activities Using Generalized Sequential Pattern and Association Rules in Data Mining. Buildings 2023, 13, 946. [Google Scholar] [CrossRef]
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MDPI and ACS Style

Al-Refaie, A.; Hamdieh, B.A.; Lepkova, N. Correction: Al-Refaie et al. Prediction of Maintenance Activities Using Generalized Sequential Pattern and Association Rules in Data Mining. Buildings 2023, 13, 946. Buildings 2026, 16, 1272. https://doi.org/10.3390/buildings16071272

AMA Style

Al-Refaie A, Hamdieh BA, Lepkova N. Correction: Al-Refaie et al. Prediction of Maintenance Activities Using Generalized Sequential Pattern and Association Rules in Data Mining. Buildings 2023, 13, 946. Buildings. 2026; 16(7):1272. https://doi.org/10.3390/buildings16071272

Chicago/Turabian Style

Al-Refaie, Abbas, Banan Abu Hamdieh, and Natalija Lepkova. 2026. "Correction: Al-Refaie et al. Prediction of Maintenance Activities Using Generalized Sequential Pattern and Association Rules in Data Mining. Buildings 2023, 13, 946" Buildings 16, no. 7: 1272. https://doi.org/10.3390/buildings16071272

APA Style

Al-Refaie, A., Hamdieh, B. A., & Lepkova, N. (2026). Correction: Al-Refaie et al. Prediction of Maintenance Activities Using Generalized Sequential Pattern and Association Rules in Data Mining. Buildings 2023, 13, 946. Buildings, 16(7), 1272. https://doi.org/10.3390/buildings16071272

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