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Retraction Note: Shapley-based interpretation of deep learning models for wildfire spread rate prediction

Fire Ecology volume 20, Article number: 69 (2024) Cite this article

The Original Article was published on 25 January 2024

Retraction Note: Fire Ecol 20, 8 (2024)

https://doi.org/10.1186/s42408-023-00242-y


The Editor-in-Chief has retracted this article. An investigation by the Publisher has found a number of articles, including this one, which share similar concerns, involving but not limited to, irregularities with respect to submission, authorship, and peer review. The Editor-in-Chief therefore no longer has confidence in the results and conclusions presented in this article. All authors agree to this retraction.

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Authors and Affiliations

  1. Department of Computer Engineering, Jeju National University, Jeju City, Republic of Korea

    Faiza Qayyum

  2. Department of Information Technology, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia

    Nagwan Abdel Samee & Maali Alabdulhafith

  3. Department of Computer Science, Faculty of Computer and Artificial Intelligence, Benha University, Banha, Egypt

    Ahmed Aziz

  4. Department of International Business Management, Tashkent State University of Economics, Tashkent, Uzbekistan

    Ahmed Aziz

  5. Applied Science Private University, Amman City, Jordan

    Mohammad Hijjawi

Authors
  1. Faiza Qayyum
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  2. Nagwan Abdel Samee
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  3. Maali Alabdulhafith
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  4. Ahmed Aziz
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  5. Mohammad Hijjawi
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Corresponding author

Correspondence to Nagwan Abdel Samee.

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Qayyum, F., Samee, N.A., Alabdulhafith, M. et al. Retraction Note: Shapley-based interpretation of deep learning models for wildfire spread rate prediction. fire ecol 20, 69 (2024). https://doi.org/10.1186/s42408-024-00307-6

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  • DOI: https://doi.org/10.1186/s42408-024-00307-6