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Titlebook: AI-Enabled Threat Detection and Security Analysis for Industrial IoT; Hadis Karimipour,Farnaz Derakhshan Book 2021 The Editor(s) (if appli

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樓主: 驅逐
31#
發(fā)表于 2025-3-26 22:25:19 | 只看該作者
32#
發(fā)表于 2025-3-27 01:22:51 | 只看該作者
Springer Series in Reliability Engineeringted various metrics, including accuracy, precision, recall, and F1-score. The proposed model obtained an accuracy of 90.58% for cyber-attack detection. Also, precision, recall, F1-score are 87.42%, 93.77% and 90.48%, respectively.
33#
發(fā)表于 2025-3-27 05:34:23 | 只看該作者
34#
發(fā)表于 2025-3-27 11:58:26 | 只看該作者
Jacek Welc,Pedro J. Rodriguez Esquerdo lack of industry standards. In this chapter, we review recent blockchain-based approaches on IIoT structures, in which a set of common issues and challenges are discussed. Our review might provide new research directions about blockchain on the industrial internet of things for interested researchers and developers.
35#
發(fā)表于 2025-3-27 15:42:58 | 只看該作者
Quality Control in the Textile Industry,nt Attention Model (RAM) is utilized to learn feature representation and conduct regional image analysis. Preliminary experiments show promising results with high achieving binary classification validation accuracy.
36#
發(fā)表于 2025-3-27 18:10:56 | 只看該作者
37#
發(fā)表于 2025-3-28 01:01:18 | 只看該作者
Model Development: Variable Selection,n industrial applications as well. This chapter discusses the opportunities and challenges of realizing the AI, and particularly ML, approaches in IIoT systems that are used in the smart manufacturing environment.
38#
發(fā)表于 2025-3-28 04:07:29 | 只看該作者
39#
發(fā)表于 2025-3-28 09:31:53 | 只看該作者
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發(fā)表于 2025-3-28 10:25:13 | 只看該作者
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