Correction to “A Secure Multi-Model Biometrics Using Deep Learning Model Based-Optimal Hybrid Pattern by the Heuristic Approach”

IF 2.5 4区计算机科学 Q3 TELECOMMUNICATIONS

Transactions on Emerging Telecommunications Technologies Pub Date : 2025-06-02 DOI:10.1002/ett.70181

引用次数: 0

Abstract

S. Juluri and M. Gudavalli, “A Secure Multi-Model Biometrics Using Deep Learning Model Based-Optimal Hybrid Pattern by the Heuristic Approach,” Transactions on Emerging Telecommunications Technologies 36 (2025): e70106, https://doi.org/10.1002/ett.70106.

In Section 3.3.2.1, the header “Cuckoo Optimization Algorithm” was incorrect. This should have read: “Cheetah Optimization Algorithm”

We apologize for this error.

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更正“基于启发式方法的基于深度学习模型的最优混合模式的安全多模型生物识别”

S. Juluri和M. Gudavalli，“基于深度学习模型的最优混合模式的安全多模型生物识别”，新兴电信技术学报36 (2025):e70106, https://doi.org/10.1002/ett.70106.In章节3.3.2.1，头“杜鹃优化算法”不正确。这应该是：“猎豹优化算法”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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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