We, the Editor and Publisher of Journal of Applied Security Research, have retracted the following article:

Yenumaladoddi Jayasimha & R. Venkata Siva Reddy, A Robust Face Emotion Recognition Approach through Optimized SIFT Features and Adaptive Deep Belief Neural Network, Journal of Applied Security Research, 2019, DOI: 10.1080/19361610.2019.1656471.

This article contains extensive and continuous content similarity across all sections with the previously published article: Yenumaladoddi Jayasimha & R. Venkata Siva Reddy (2019) A robust face emotion recognition approach through optimized SIFT features and adaptive deep belief neural network, Intelligent Design Technologies, 13.3, 379–390. DOI: 10.3233/IDT-190022.

The substantial similarity between the articles is not acknowledged.

Following a request by the corresponding author to withdraw this article from Journal of Applied Security research, we discovered the previously published article. We contacted the corresponding author multiple times but have received no response. Therefore, we have determined that retracting this article is the best course of action.

We have been informed in our decision-making by our policy on publishing ethics and integrity and the COPE guidelines on retractions.

The retracted article will remain online to maintain the scholarly record, but it will be digitally watermarked on each page as “Retracted.”

我们，Journal of Applied Security Research的编辑和出版商，已撤回以下文章：

Yenumaladoddi Jayasimha 和 R. Venkata Siva Reddy，通过优化 SIFT 特征和自适应深度信念神经网络的鲁棒面部情感识别方法，应用安全研究杂志，2019 年，DOI：10.1080/19361610.2019.1656477

本文包含与之前发表的文章的所有部分的广泛且连续的内容相似性：Yenumaladoddi Jayasimha & R. Venkata Siva Reddy (2019) 通过优化的 SIFT 特征和自适应深度信念神经网络的强大面部情绪识别方法，智能设计技术，13.3 , 379–390。DOI：10.3233/IDT-190022。

不承认文章之间的实质性相似。

在通讯作者要求从 Journal of Applied Security 研究中撤回这篇文章后，我们发现了之前发表的文章。我们多次联系通讯作者，但均未收到回复。因此，我们确定撤回这篇文章是最好的做法。

在我们的决策过程中，我们已经了解了关于出版道德和诚信的政策以及关于撤回的 COPE 指南。

被撤回的文章将保持在线状态以维护学术记录，但将在每页上以数字水印标记为“已撤回”。