基于扩散和细化块的视频异常检测系统并行对称外观-运动框架校正

IF 1.5 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
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引用次数: 0

摘要

Prasad, K.N.S.S.V.和Haritha, D.(2025),视频异常检测系统中具有扩散和细化块的并行对称外观-运动框架。并行计算与实践,37(6):693 - 693。https://doi.org/10.1002/cpe.70183In这篇文章最初发布的版本,通讯作者和共同作者的电子邮件地址不正确。正确信息如下:通讯作者:Kavitapu Naga Siva Shankara Vara prasaemail: [email protected]合著者:Dasari HarithaEmail: [email protected]
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Correction to Parallel Symmetric Appearance-Motion Framework with Diffusion and Refinement Blocks for Video Anomaly Detection System

Prasad, K.N.S.S.V. and Haritha, D. (2025), Parallel Symmetric Appearance-Motion Framework with Diffusion and Refinement Blocks for Video Anomaly Detection System. Concurrency Computat Pract Exper, 37: e70183. https://doi.org/10.1002/cpe.70183

In the originally published version of this manuscript, the email addresses of the corresponding author and co-author were incorrect. The correct information is as follows:

Corresponding author:

Kavitapu Naga Siva Shankara Vara Prasad

Email: [email protected]

Co-author:

Dasari Haritha

Email: [email protected]

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来源期刊
Concurrency and Computation-Practice & Experience
Concurrency and Computation-Practice & Experience 工程技术-计算机:理论方法
CiteScore
5.00
自引率
10.00%
发文量
664
审稿时长
9.6 months
期刊介绍: Concurrency and Computation: Practice and Experience (CCPE) publishes high-quality, original research papers, and authoritative research review papers, in the overlapping fields of: Parallel and distributed computing; High-performance computing; Computational and data science; Artificial intelligence and machine learning; Big data applications, algorithms, and systems; Network science; Ontologies and semantics; Security and privacy; Cloud/edge/fog computing; Green computing; and Quantum computing.
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