Learning Long- and Short-Term Temporal Patterns for ML-Driven Fault Management in Optical Communication Networks

Autor:	Moises Felipe Silva, Alessandro Pacini, Andrea Sgambelluri, Luca Valcarenghi
Rok vydání:	2022
Předmět:	Digital orchestration Computer Networks and Communications Data models Deep learning Anomaly detection ETSI Zero-touch networks Predictive models Optical fiber networks Optical communication systems Training Novelty detection Electrical and Electronic Engineering Adaptive optics Forecasting
Zdroj:	IEEE Transactions on Network and Service Management. 19:2195-2206
ISSN:	2373-7379
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::546f074c367b76c2a91d3406ef8e181e https://doi.org/10.1109/tnsm.2022.3146869 Zobrazit plný text záznamu