Correction to “Spatiotemporal Graph Neural Network-Driven Anomaly Detection for Cooperative Vehicle Messaging in Dense VANET Corridors”

IF 2.5 4区 计算机科学 Q3 TELECOMMUNICATIONS
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引用次数: 0

Abstract

A. Z. Ibrahim, “ Spatiotemporal Graph Neural Network-Driven Anomaly Detection for Cooperative Vehicle Messaging in Dense VANET Corridors,” Transactions on Emerging Telecommunications Technologies 37, no. 4 (2026): e70405, https://doi.org/10.1002/ett.70405.

In the “Acknowledgements” section, the project number was incorrectly listed as “(PNURSP2026R300).” It should be corrected to “(PNURSP2026R758).” Therefore, the “Acknowledgements” section should read as follows:

“Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2026R758), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.”

We apologize for this error.

对“密集VANET走廊中协同车辆信息的时空图神经网络驱动异常检测”的修正
A. Z. Ibrahim,“基于时空图神经网络的协同车辆信息异常检测”,《通信技术学报》第37期。4 (2026): e70405, https://doi.org/10.1002/ett.70405.In在“致谢”部分,项目编号被错误地列为“(PNURSP2026R300)”。应该更正为“(PNURSP2026R758)”。因此,“致谢”部分应如下所述:“努拉赫·宾特·阿卜杜拉赫曼公主大学研究人员支持项目编号(PNURSP2026R758),努拉赫·宾特·阿卜杜拉赫曼公主大学,沙特阿拉伯利雅得。”我们为这个错误道歉。
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来源期刊
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
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