| 注册
首页|期刊导航|数字通信与网络(英文)|Mosaic-AM:multimodal sensors anomaly detection with inherent compensation for absent modalities

Mosaic-AM:multimodal sensors anomaly detection with inherent compensation for absent modalities

Wesley O'Quinn Ziqi Wang Shiwen Mao

数字通信与网络(英文)2026,Vol.12Issue(6):926-936,11.
✕
数字通信与网络(英文)2026,Vol.12Issue(6):926-936,11.DOI:10.1016/j.dcan.2026.02.005

Mosaic-AM:multimodal sensors anomaly detection with inherent compensation for absent modalities

Mosaic-AM:multimodal sensors anomaly detection with inherent compensation for absent modalities

Wesley O'Quinn 1Ziqi Wang 1Shiwen Mao1

作者信息

  • 1. Department of Electrical and Computer Engineering,Auburn University,Auburn,AL,36849-5201,USA
  • 折叠

摘要

关键词

Industrial internet of things(IIoT)/Anomaly detection/Multimodal sensory data/Model level fusion/Stacked ensemble

Key words

Industrial internet of things(IIoT)/Anomaly detection/Multimodal sensory data/Model level fusion/Stacked ensemble

引用本文复制引用

Wesley O'Quinn,Ziqi Wang,Shiwen Mao..Mosaic-AM:multimodal sensors anomaly detection with inherent compensation for absent modalities[J].数字通信与网络(英文),2026,12(6):926-936,11.

基金项目

A very preliminary version of this work was presented in part at IEEE GLOBECOM 2023[8].The system design,experimental evaluation,and writing of this paper are largely new and different from those in[8].This work is supported in part by the NSF under Grants CNS-2319342,CNS-2107190,and CCSS-2434053. ()

数字通信与网络(英文)

访问量0
|
下载量0
段落导航相关论文