A novel anomaly detection model for the industrial Internet of Things using machine learning techniques
In recent decades, the pervasive integration of the Internet of Things (IoT) technologies has revolutionized various sectors, including industry 4.0, telecommunications, cloud computing, and healthcare systems. Industry 4.0 applications, characterized by real-time data exchange, increased reliance o...
Main Authors: | Lahcen Idouglid, Said Tkatek, Khalid Elfayq, Azidine Guezzaz |
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Format: | Article |
Language: | English |
Published: |
National Aerospace University «Kharkiv Aviation Institute»
2024-02-01
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Series: | Радіоелектронні і комп'ютерні системи |
Subjects: | |
Online Access: | http://nti.khai.edu/ojs/index.php/reks/article/view/2282 |
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