Opportunities of Using Machine Learning Methods in Telecommunications and Industry 4.0 – A Survey (CROSBI ID 733690)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Peraković, Dragan ; Periša, Marko ; Cvitić, Ivan ; Zorić, Petra ; Kuljanić, Tibor Mijo ; Aleksić, David
engleski
Opportunities of Using Machine Learning Methods in Telecommunications and Industry 4.0 – A Survey
Artificial intelligence can be considered a leading component of industrial transformation, but its application is also present in other areas, such as the telecommunications sector. Methodologies based on artificial intelligence, the most significant of which is machine learning, support these areas when predicting maintenance needs and reducing downtime. Machine learning has many algorithms and methods of its own. This research presents machine learning methods and the possibilities of their use in the areas of telecommunications and Industry 4.0. With the improvement of new technologies such as higher internet speeds and 5G mobile networks in the field of telecommunications or Industry 4.0, comes the need for new and improved management and support for systems that use these new technologies. Some types of machine learning can be used for collecting data to improve user’s quality of service. Also, some types of them can be used to collect data on network traffic or, in general, for any system that needs to collect data, cluster data points, and analyze data.
Artificial intelligence ; Supervised machine learning ; Applied machine learning ; Internet of Things (IoT) ; Distributed denial of service (DDoS)
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Podaci o prilogu
211-225.
2023.
objavljeno
10.1007/978-3-031-22719-6_16
Podaci o matičnoj publikaciji
7th EAI International Conference on Management of Manufacturing Systems
Knapčíková, Lucia ; Peraković, Dragan
Cham: Springer
978-3-031-22718-9
Podaci o skupu
Nepoznat skup
predavanje
29.02.1904-29.02.2096