Elsevier

Applied Soft Computing

Volume 96, November 2020, 106715
Applied Soft Computing

REMOVED: Detecting anomalies within Unmanned Aerial Vehicle (UAV) video based on contextual saliency

https://doi.org/10.1016/j.asoc.2020.106715

This article has been removed: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/about/our-business/policies/article-withdrawal).

This article has been removed at the request of the Editor-in-Chief of Applied Soft Computing.

The author has plagiarized the thesis work “Contextual Saliency for Detecting Anomalies within Unmanned Aerial Vehicle (UAV) Video,” (Simon Gokstorp), Master’s Thesis for the degree of Master of Engineering, Durham University, (Supervisor: T.P. Breckon), 2019” by duplicating material from the online repository of the Master Thesis project (https://github.com/Hoclor/CoSADUV-Contextual-Saliency-for-Detecting-Anomalies-in-UAV-Video). One of the conditions of submission of a paper for publication is that authors declare explicitly that their work is original and has not appeared in a publication elsewhere. Re-use of any data should be appropriately cited. As such this article represents a severe abuse of the scientific publishing system. The scientific community takes a very strong view on this matter and apologies are offered to readers of the journal that this was not detected during the submission process.

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