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Volume 15
Issue 3
10.3390/life15030441
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Correction to Life 2023, 13(1), 133.
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Correction

Correction: Rashid et al. A Minority Class Balanced Approach Using the DCNN-LSTM Method to Detect Human Wrist Fracture. Life 2023, 13, 133

by
Tooba Rashid
1,
Muhammad Sultan Zia
2,
Najam-ur-Rehman
3,
Talha Meraj
4,
Hafiz Tayyab Rauf
5 and
Seifedine Kadry
6,7,8,*
1
Department of Computer Science, The University of Lahore, Chenab Campus, Gujrat 50700, Pakistan
2
Department of Computer Science, The University of Chenab, Gujrat 50700, Pakistan
3
Department of Human Resource Section, University of Gujrat, Gujrat 50700, Pakistan
4
Department of Computer Science, COMSATS University Islamabad-Wah Campus, Wah Cantt 47040, Pakistan
5
Independent Researcher, Bradford BD8 0HS, UK
6
Department of Applied Data Science, Noroff University College, 4612 Kristiansand, Norway
7
Artificial Intelligence Research Center (AIRC), Ajman University, Ajman 346, United Arab Emirates
8
Department of Electrical and Computer Engineering, Lebanese American University, Byblos P.O. Box 13-5053, Lebanon
*
Author to whom correspondence should be addressed.
Life 2025, 15(3), 441; https://doi.org/10.3390/life15030441
Submission received: 2 December 2024 / Accepted: 5 February 2025 / Published: 12 March 2025
(This article belongs to the Special Issue Mathematical Methods and Data Analysis in Health and Biomedical Sciences)
Versions Notes

Corrected Affiliation

In the published publication [1], there was an error regarding the affiliation for Hafiz Tayyab Rauf. The updated affiliation should be: Independent Researcher, Bradford BD8 0HS, UK. 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. Rashid, T.; Zia, M.S.; Najam-ur-Rehman; Meraj, T.; Rauf, H.T.; Kadry, S. A Minority Class Balanced Approach Using the DCNN-LSTM Method to Detect Human Wrist Fracture. Life 2023, 13, 133. [Google Scholar] [CrossRef] [PubMed]
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Share and Cite

MDPI and ACS Style

Rashid, T.; Zia, M.S.; Najam-ur-Rehman; Meraj, T.; Rauf, H.T.; Kadry, S. Correction: Rashid et al. A Minority Class Balanced Approach Using the DCNN-LSTM Method to Detect Human Wrist Fracture. Life 2023, 13, 133. Life 2025, 15, 441. https://doi.org/10.3390/life15030441

AMA Style

Rashid T, Zia MS, Najam-ur-Rehman, Meraj T, Rauf HT, Kadry S. Correction: Rashid et al. A Minority Class Balanced Approach Using the DCNN-LSTM Method to Detect Human Wrist Fracture. Life 2023, 13, 133. Life. 2025; 15(3):441. https://doi.org/10.3390/life15030441

Chicago/Turabian Style

Rashid, Tooba, Muhammad Sultan Zia, Najam-ur-Rehman, Talha Meraj, Hafiz Tayyab Rauf, and Seifedine Kadry. 2025. "Correction: Rashid et al. A Minority Class Balanced Approach Using the DCNN-LSTM Method to Detect Human Wrist Fracture. Life 2023, 13, 133" Life 15, no. 3: 441. https://doi.org/10.3390/life15030441

APA Style

Rashid, T., Zia, M. S., Najam-ur-Rehman, Meraj, T., Rauf, H. T., & Kadry, S. (2025). Correction: Rashid et al. A Minority Class Balanced Approach Using the DCNN-LSTM Method to Detect Human Wrist Fracture. Life 2023, 13, 133. Life, 15(3), 441. https://doi.org/10.3390/life15030441

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