Remaining useful life predictions for turbofan engine degradation based on concurrent semi-supervised model
Sign Up to like & getrecommendations! Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-021-06089-1
Abstract: As a crucial and expensive component of the aircraft, it is important to effectively predict its remaining useful life (RUL) so as to reduce maintenance costs and improve maintenance strategies. In this paper, a novel… read more here.
Keywords: useful life; semi supervised; supervised model; remaining useful ... See more keywords
A semi-supervised model to predict regulatory effects of genetic variants at single nucleotide resolution using massively parallel reporter assays.
Sign Up to like & getrecommendations! Published in 2021 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btab040
Abstract: MOTIVATION Predicting regulatory effects of genetic variants is a challenging but important problem in functional genomics. Given the relatively low sensitivity of functional assays, and the pervasiveness of class imbalance in functional genomic data, popular… read more here.
Keywords: regulatory effects; semi supervised; genetic variants; effects genetic ... See more keywords
A Double Self-Supervised Model for Pitting Detection on Ball Screws
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3382209
Abstract: Automatic detection of pitting on Ball Screw Drive (BSD) is essential to ensure normal production activities. However, the scarcity of defective samples and precisely labeled data poses a significant challenge. To address this, we propose… read more here.
Keywords: detection; double self; self supervised; supervised model ... See more keywords
Towards Resource-Efficient Edge AI: From Federated Learning to Semi-Supervised Model Personalization
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Mobile Computing"
DOI: 10.1109/tmc.2023.3316189
Abstract: A central question in edge intelligence is “how can an edge device learn its local model with limited data and constrained computing capacity?” In this study, we explore the approach where a global model initialization… read more here.
Keywords: edge; device; supervised model; semi supervised ... See more keywords