更正“创新视频异常检测：TCN-AnoDetect With Self-Supervised Feature Learning”

IF 2.5 4区计算机科学 Q3 TELECOMMUNICATIONS

Transactions on Emerging Telecommunications Technologies Pub Date : 2025-06-03 DOI:10.1002/ett.70179

引用次数: 0

摘要

R. Chiranjeevi和D. Malathi，“基于自监督特征学习的视频异常检测”，通信技术学报36 (2025):e7045, https://doi.org/10.1002/ett.70045.The这应该是：“计算技术系，SRM科学技术研究所，卡坦库拉图尔，金奈，603203，印度。”文章的网络版也已更新。我们为这个错误道歉。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Correction to “Innovative Video Anomaly Detection: TCN-AnoDetect With Self-Supervised Feature Learning”

R. Chiranjeevi and D. Malathi, “Innovative Video Anomaly Detection: TCN-AnoDetect With Self-Supervised Feature Learning,” Transactions on Emerging Telecommunications Technologies 36 (2025): e70045, https://doi.org/10.1002/ett.70045.

The affiliation of the authors was incomplete. This should have read: “Department of Computing Technologies, SRM Institute of Science and Technology, Kattankulathur, Chennai, 603203, India.”

The online version of the article has also been updated.

We apologize for this error.

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来源期刊

Transactions on Emerging Telecommunications Technologies TELECOMMUNICATIONS-

CiteScore

8.90

自引率

13.90%

发文量

249

期刊介绍： ransactions on Emerging Telecommunications Technologies (ETT), formerly known as European Transactions on Telecommunications (ETT), has the following aims: - to attract cutting-edge publications from leading researchers and research groups around the world - to become a highly cited source of timely research findings in emerging fields of telecommunications - to limit revision and publication cycles to a few months and thus significantly increase attractiveness to publish - to become the leading journal for publishing the latest developments in telecommunications