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RETRACTION
Retraction: The Crime Scene Tools Identification Algorithm Based on GVF-Harris-SIFT and KNN
1 Faculty of Civil Aviation and Aeronautical, Kunming University of Science & Technology, Kunming, 650500, China
2 Kunming SNLab Tech Co., Ltd., Kunming, 650228, China
* Corresponding Author: Nan Pan. Email:
Intelligent Automation & Soft Computing 2025, 40, 147-147. https://doi.org/10.32604/iasc.2025.062708
Issue published 29 January 2025
This article is a retraction of:
The Crime Scene Tools Identification Algorithm Based on GVF‐Harris‐SIFT and KNN
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Abstract
This article has no abstract.Intelligent Automation & Soft Computing has retracted the article titled “The Crime Scene Tools Identification Algorithm Based on GVF-Harris-SIFT and KNN” [1], Intell Automat Soft Comput. 2019;25(2):413–419 at the request of the authors.
URL: https://www.techscience.com/iasc/v25n2/39669
The article is a duplicate of a paper that has already been published in Journal of Kunming University of Science and Technology (Natural Science Edition) [2]. Redundant publications overweigh the relative importance of published findings and distort the academic record of the authors. One of the conditions of submission of a paper for publication is therefore that authors declare explicitly that the paper has not been previously published and is not under consideration for publication elsewhere. As such this article represents a misuse of the scientific publishing system.
The article is therefore being retracted at the request of the Editor-in-Chief and the editorial board. All authors have agreed to this retraction. As a responsible publisher, we hold the reliability and integrity of our published content in high regard. We deeply regret any inconvenience caused by this situation to our readers and all concerned parties.
References
1. Pan N, Pan D, Liu Y. The crime scene tools identification algorithm based on GVF-Harris-SIFT and KNN. Intell Automat Soft Comput. 2019;25(2):413–9. doi:10.31209/2019.100000103.
2. Pan N, Kan LF, Liu Y. Technology of fast traceability for pictures of crime tools. J Kunming Univ Sci Technol (Nat Sci Ed). 2017;42(3):52–9 (In Chinese). doi:10.16112/j.cnki.53-1223/n.2017.03.008.
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