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Titlebook: Artificial Intelligence and Cyber Security in Industry 4.0; Velliangiri Sarveshwaran,Joy Iong-Zong Chen,Danilo Book 2023 The Editor(s) (if

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樓主: gloomy
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發(fā)表于 2025-3-28 17:02:47 | 只看該作者
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發(fā)表于 2025-3-28 19:16:36 | 只看該作者
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發(fā)表于 2025-3-29 00:14:09 | 只看該作者
Thomas Schirmer,Ursula Fittschen are revolutionizing the industrial sector’s behind-the-scenes operations at organizations like Airbus and Caterpillar. Cyber-physical systems and the technology that underpins?them are at the heart of Industry 4.0 also known as the industrial Internet of things (IIoT). Every time a new technology i
44#
發(fā)表于 2025-3-29 05:02:25 | 只看該作者
Thomas Schirmer,Ursula Fittschen as a bureaucratic and inflexible framework is challenged by the realization that it may be adapted to incorporate cutting-edge methodologies like AI, ML, Agile, DevOps, etc. When it comes to managing risks, ISM is an essential component of any company or organization. The introduction of AI into IT
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發(fā)表于 2025-3-29 09:51:45 | 只看該作者
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發(fā)表于 2025-3-29 12:16:10 | 只看該作者
Thomas Schirmer,Ursula Fittschening different and newer techniques to get what they require. To keep up with their pace, cybersecurity measures also have to increase to stop these attacks. By introducing artificial intelligence (AI) in cybersecurity tools such as malware analyser, the process becomes much more time efficient and t
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發(fā)表于 2025-3-29 15:40:38 | 只看該作者
,Fortsetzung auf r?hrenf?rmigen Gebieten,ce in this chapter, a novel artificial intelligent strategy is employed for the motor system. The fuzzy immune framework is employed to ensure the smoothness of the generated torque. The proposed adaptive strategy is a computational paradigm derived from basic humoral immunological phenomena. Furthe
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發(fā)表于 2025-3-29 21:57:00 | 只看該作者
Ergebnisse der qualitativen Untersuchung,eate a flexible deep learning model for better security through more precise anomaly detection. The information presented at CSE-CIC-DS2018 is used as a starting point. An additional method will be used to the pre-processed data to identify abnormalities in the system. Convolutional recurrent neural
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發(fā)表于 2025-3-30 02:14:41 | 只看該作者
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發(fā)表于 2025-3-30 07:49:07 | 只看該作者
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