Članki z zahtevami za javni dostop - KAIBO LIUVeč o tem
Ni na voljo nikjer: 13
A Bayesian deep learning framework for interval estimation of remaining useful life in complex systems by incorporating general degradation characteristics
M Kim, K Liu
IISE Transactions 53 (3), 326-340, 2020
Zahteve: US Department of Energy, US Department of Defense
A data-level fusion approach for degradation modeling and prognostic analysis under multiple failure modes
A Chehade, C Song, K Liu, A Saxena, X Zhang
Journal of Quality Technology 50 (2), 150-165, 2018
Zahteve: US National Science Foundation, US Department of Defense, National Natural …
A nonparametric adaptive sampling strategy for online monitoring of big data streams
X Xian, A Wang, K Liu
Technometrics 60 (1), 14-25, 2018
Zahteve: US National Science Foundation
A spatial-adaptive sampling procedure for online monitoring of big data streams
A Wang, X Xian, F Tsung, K Liu
Journal of Quality Technology 50 (4), 329-343, 2018
Zahteve: US National Science Foundation, US Department of Defense, Research Grants …
A generic online nonparametric monitoring and sampling strategy for high-dimensional heterogeneous processes
H Ye, K Liu
IEEE Transactions on Automation Science and Engineering 19 (3), 1503-1516, 2022
Zahteve: US Department of Defense
A generic indirect deep learning approach for multisensor degradation modeling
D Wang, K Liu, X Zhang
IEEE Transactions on Automation Science and Engineering 19 (3), 1924-1940, 2021
Zahteve: US Department of Energy, US Department of Defense, National Natural Science …
Causation-based process monitoring and diagnosis for multivariate categorical processes
J Li, K Liu, X Xian
IISE Transactions 49 (3), 332-343, 2017
Zahteve: US National Science Foundation, National Natural Science Foundation of China
An integrated deep learning-based data fusion and degradation modeling method for improving prognostics
D Wang, K Liu
IEEE Transactions on Automation Science and Engineering 21 (2), 1713-1726, 2023
Zahteve: US Department of Defense, National Natural Science Foundation of China
Online nonparametric monitoring of heterogeneous data streams with partial observations based on Thompson sampling
H Ye, X Xian, JRC Cheng, B Hable, RW Shannon, MK Elyaderani, K Liu
IISE Transactions 55 (4), 392-404, 2023
Zahteve: US Department of Defense
An adaptive sensor selection framework for multisensor prognostics
M Kim, JRC Cheng, K Liu
Journal of Quality Technology 53 (5), 566-585, 2021
Zahteve: US Department of Energy
Online monitoring of high-dimensional asynchronous and heterogeneous data streams for shifts in location and scale
H Ye, Z Zheng, JRC Cheng, B Hable, K Liu
International Journal of Production Research 62 (3), 720-736, 2024
Zahteve: US Department of Defense
Spatiotemporal multitask learning for 3-d dynamic field modeling
D Wang, K Liu, X Zhang, H Wang
IEEE Transactions on Automation Science and Engineering 17 (2), 708-721, 2019
Zahteve: US National Science Foundation, National Natural Science Foundation of China
Instance Selection via Voronoi Neighbors for Binary Classification Tasks
Y Fu, K Liu, W Zhu
IEEE Transactions on Knowledge and Data Engineering 36 (8), 3921-3933, 2023
Zahteve: National Natural Science Foundation of China
Na voljo nekje: 27
An obstructive sleep apnea detection approach using a discriminative hidden Markov model from ECG signals
C Song, K Liu, X Zhang, L Chen, X Xian
IEEE Transactions on Biomedical Engineering 63 (7), 1532-1542, 2015
Zahteve: National Natural Science Foundation of China
Multiple sensor data fusion for degradation modeling and prognostics under multiple operational conditions
H Yan, K Liu, X Zhang, J Shi
IEEE Transactions on Reliability 65 (3), 1416-1426, 2016
Zahteve: US National Science Foundation, National Natural Science Foundation of China
Integration of data-level fusion model and kernel methods for degradation modeling and prognostic analysis
C Song, K Liu, X Zhang
IEEE Transactions on Reliability 67 (2), 640-650, 2017
Zahteve: US National Science Foundation, US Department of Defense, National Natural …
Statistical degradation modeling and prognostics of multiple sensor signals via data fusion: A composite health index approach
C Song, K Liu
IISE Transactions 50 (10), 853-867, 2018
Zahteve: US Department of Defense
A generic health index approach for multisensor degradation modeling and sensor selection
M Kim, C Song, K Liu
IEEE Transactions on Automation Science and Engineering 16 (3), 1426-1437, 2019
Zahteve: US Department of Energy, US Department of Defense
Sensory-based failure threshold estimation for remaining useful life prediction
A Chehade, S Bonk, K Liu
IEEE Transactions on Reliability 66 (3), 939-949, 2017
Zahteve: US National Science Foundation, US Department of Defense
Adaptive preventive maintenance for flow shop scheduling with resumable processing
H Ye, X Wang, K Liu
IEEE Transactions on Automation Science and Engineering 18 (1), 106-113, 2020
Zahteve: US Department of Energy, US Department of Defense, National Natural Science …
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