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Pregled bibliografske jedinice broj: 1260840

Opportunities of Using Machine Learning Methods in Telecommunications and Industry 4.0 – A Survey

Peraković, Dragan; Periša, Marko; Cvitić, Ivan; Zorić, Petra; Kuljanić, Tibor Mijo; Aleksić, David
Opportunities of Using Machine Learning Methods in Telecommunications and Industry 4.0 – A Survey // 7th EAI International Conference on Management of Manufacturing Systems / Knapčíková, Lucia ; Peraković, Dragan (ur.).
Cham: Springer, 2023. str. 211-225 doi:10.1007/978-3-031-22719-6_16 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)

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Naslov
Opportunities of Using Machine Learning Methods in Telecommunications and Industry 4.0 – A Survey

Autori
Peraković, Dragan ; Periša, Marko ; Cvitić, Ivan ; Zorić, Petra ; Kuljanić, Tibor Mijo ; Aleksić, David

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
7th EAI International Conference on Management of Manufacturing Systems / Knapčíková, Lucia ; Peraković, Dragan - Cham : Springer, 2023, 211-225

ISBN
978-3-031-22718-9

Skup
EAI MMS 2022 - 7th EAI International Conference on Management of Manufacturing Systems

Mjesto i datum
Krynica-Zdrój, Poljska, 05.10.2022. - 07.10.2022

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Artificial intelligence ; Supervised machine learning ; Applied machine learning ; Internet of Things (IoT) ; Distributed denial of service (DDoS)

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Tehnologija prometa i transport



POVEZANOST RADA

Ustanove:
Fakultet prometnih znanosti, Zagreb

Profili:

Avatar Url Petra Zorić (autor)

Avatar Url Tibor - Mijo Kuljanić (autor)

Avatar Url Ivan Cvitić (autor)

Avatar Url Marko Periša (autor)

Avatar Url Dragan Peraković (autor)

Poveznice na cjeloviti tekst rada:

doi link.springer.com link.springer.com

Citiraj ovu publikaciju:

Peraković, Dragan; Periša, Marko; Cvitić, Ivan; Zorić, Petra; Kuljanić, Tibor Mijo; Aleksić, David
Opportunities of Using Machine Learning Methods in Telecommunications and Industry 4.0 – A Survey // 7th EAI International Conference on Management of Manufacturing Systems / Knapčíková, Lucia ; Peraković, Dragan (ur.).
Cham: Springer, 2023. str. 211-225 doi:10.1007/978-3-031-22719-6_16 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Peraković, D., Periša, M., Cvitić, I., Zorić, P., Kuljanić, T. & Aleksić, D. (2023) Opportunities of Using Machine Learning Methods in Telecommunications and Industry 4.0 – A Survey. U: Knapčíková, L. & Peraković, D. (ur.)7th EAI International Conference on Management of Manufacturing Systems doi:10.1007/978-3-031-22719-6_16.
@article{article, author = {Perakovi\'{c}, Dragan and Peri\v{s}a, Marko and Cviti\'{c}, Ivan and Zori\'{c}, Petra and Kuljani\'{c}, Tibor Mijo and Aleksi\'{c}, David}, year = {2023}, pages = {211-225}, DOI = {10.1007/978-3-031-22719-6\_16}, keywords = {Artificial intelligence, Supervised machine learning, Applied machine learning, Internet of Things (IoT), Distributed denial of service (DDoS)}, doi = {10.1007/978-3-031-22719-6\_16}, isbn = {978-3-031-22718-9}, title = {Opportunities of Using Machine Learning Methods in Telecommunications and Industry 4.0 – A Survey}, keyword = {Artificial intelligence, Supervised machine learning, Applied machine learning, Internet of Things (IoT), Distributed denial of service (DDoS)}, publisher = {Springer}, publisherplace = {Krynica-Zdr\'{o}j, Poljska} }
@article{article, author = {Perakovi\'{c}, Dragan and Peri\v{s}a, Marko and Cviti\'{c}, Ivan and Zori\'{c}, Petra and Kuljani\'{c}, Tibor Mijo and Aleksi\'{c}, David}, year = {2023}, pages = {211-225}, DOI = {10.1007/978-3-031-22719-6\_16}, keywords = {Artificial intelligence, Supervised machine learning, Applied machine learning, Internet of Things (IoT), Distributed denial of service (DDoS)}, doi = {10.1007/978-3-031-22719-6\_16}, isbn = {978-3-031-22718-9}, title = {Opportunities of Using Machine Learning Methods in Telecommunications and Industry 4.0 – A Survey}, keyword = {Artificial intelligence, Supervised machine learning, Applied machine learning, Internet of Things (IoT), Distributed denial of service (DDoS)}, publisher = {Springer}, publisherplace = {Krynica-Zdr\'{o}j, Poljska} }

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