Assessment of Machine Learning algorithms for automated monitoring
| Autor: | Carmen-Ionela ROTUNĂ, Mihail DUMITRACHE, Ionuț-Eugen SANDU |
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| Jazyk: | English<br />Romanian; Moldavian; Moldovan |
| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Revista Română de Informatică și Automatică, Vol 32, Iss 3, Pp 73-84 (2022) |
| Druh dokumentu: | article |
| ISSN: | 1220-1758 1841-4303 |
| DOI: | 10.33436/v32i3y202206 |
| Popis: | Artificial Intelligence and Machine Learning have made exponential progress in the last decade with a significant technological impact both on individual users and organizations in multiple domains of activity. The capabilities of AI applications, which were built using dedicated algorithms, have increased continuously, which enabled them to perform sophisticated processing tasks. Language, computer vision, autonomous driving, robotics, and automated application monitoring, which have been core problems in AI ever since 1950, have reached a new technological peak nowadays. This study aims to overview and classify Machine Learning algorithms based on certain predefined criteria. This classification can be used for the development of complex ML automation applications where the repetitive tasks performed by users would be taken over by the AI applications. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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