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Updated: Jan 23, 2026

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
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Published on: September 25, 2021

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ASTRID-Net:用于物联网和IIoT安全性的SE增强的三重注意力深度学习框架.

Ashrafun Zannat1, Md Shakil Ahmmed2, Md Alamgir Hossain3

  • 1Department of Computer Science and Engineering, Bangladesh Army University of Science and Technology, Saidpur, Nilphamari, 5400, Bangladesh. spzannat@baust.edu.bd.

Scientific reports
|January 21, 2026
PubMed
概括

ASTRID-Net是一种新的深度学习模型,在物联网 (IoT) 和工业物联网 (IIoT) 网络中检测网络威胁时,其准确度超过99.97%. 这种先进的系统增强了连接环境的安全性.

关键词:
双向封闭循环单元 (BiGRU) 是一个双向封闭循环单元.网络物理系统安全 网络物理系统安全边缘IIoTset数据集数据集多尺度卷积神经网络 多尺度卷积神经网络多个尺度的卷积神经网络 (CNN)挤压和激发 (SE) 块)三重的注意力,三重的注意力.

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