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Remaining useful life estimation using deep metric transfer learning for kernel regression.

, , , and . Reliab. Eng. Syst. Saf., (2021)

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Remaining Useful Life Estimation Under Multiple Operating Conditions via Deep Subdomain Adaptation., , and . IEEE Trans. Instrum. Meas., (2021)SegLD: Achieving universal, zero-shot and open-vocabulary segmentation through multimodal fusion via latent diffusion processes., , , and . Inf. Fusion, (2024)Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View That Includes Motifs, Discords and Shapelets., , , , , , , , and . ICDM, page 1317-1322. IEEE Computer Society, (2016)Statistical Alignment-Based Metagated Recurrent Unit for Cross-Domain Machinery Degradation Trend Prognostics Using Limited Data., , , and . IEEE Trans. Instrum. Meas., (2021)Correction to: Domain agnostic online semantic segmentation for multi-dimensional time series., , , , , , , , and . Data Min. Knowl. Discov., 33 (6): 1981-1982 (2019)Temporal convolution-based transferable cross-domain adaptation approach for remaining useful life estimation under variable failure behaviors., , , and . Reliab. Eng. Syst. Saf., (2021)Convolutional Transformer: An Enhanced Attention Mechanism Architecture for Remaining Useful Life Estimation of Bearings., and . IEEE Trans. Instrum. Meas., (2022)A High-Availability K-modes Clustering Method Based on Differential Privacy., , , , and . ICA3PP (2), volume 13156 of Lecture Notes in Computer Science, page 274-283. Springer, (2021)Remaining useful life estimation using deep metric transfer learning for kernel regression., , , and . Reliab. Eng. Syst. Saf., (2021)Domain generalization via adversarial out-domain augmentation for remaining useful life prediction of bearings under unseen conditions., , , , , and . Knowl. Based Syst., (2023)