Abstract:
We propose an unsupervised cascaded pre-training data labeling method that considers the intrinsic correlation of multi-port data, and verifies the scheme validity in fai...Show MoreMetadata
Abstract:
We propose an unsupervised cascaded pre-training data labeling method that considers the intrinsic correlation of multi-port data, and verifies the scheme validity in failure prediction using real multi-port data from optical networks. © 2023 The Author(s)
Date of Conference: 24-28 March 2024
Date Added to IEEE Xplore: 16 May 2024
Print on Demand(PoD) ISBN:979-8-3503-7758-3
Conference Location: San Diego, CA, USA