Toward Drift-Aware Multimodal Early Warning for Acute Exacerbations of Chronic Obstructive Pulmonary Disease. [PDF]
Li H, Fan S, Li X, Liu N, Qi H, Guo J.
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Domain knowledge-integrated reinforcement learning control of nonlinear tunable vibration absorber under nonstationary excitation. [PDF]
Park JE, Kang H, Kim YK.
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A Fractional-Derivative Multi-Kernel Adaptive Learning Approach for Remaining Useful Life Prediction of Rotating Machinery. [PDF]
Pan L, Xu J, Peng L, Bi D, Xie Y.
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Nonlinear Feature Modeling Using Kolmogorov-Arnold Networks in Electroencephalography for Depression Classification: Deep Learning Study. [PDF]
Yang B, Fan Y, Wei X, Shi C.
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Explainable machine learning framework with Granger-based temporal predictive validation for monitoring fiscal risk in national health insurance expenditure. [PDF]
Lee G.
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Trust-Aware Domain Adaptation Using Physics-Guided Reliability Learning for Cross-Condition Fault Diagnosis of Milling Machines. [PDF]
Ullah S, Lim S, Kim JM.
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Dominic Jaworski,1,2 Edward J Park1,2 1Mechatronic Systems Engineering, Simon Fraser University, Surrey, BC, V3T 0A3, Canada; 2WearTech Labs, Simon Fraser University, Surrey, BC, V3V 0C6, CanadaCorrespondence: Edward J Park; Dominic Jaworski, Surrey ...
Jaworski D, Park EJ
doaj
Data-Driven Fusion Algorithms for Temperature-Drift Compensation of MEMS Gyroscopes: A Mini Review. [PDF]
Lan H, Xu Y.
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Methods for modeling a class of nonstationary nonlinear systems.
SUNAHARA, Yoshifumi, FUKUDA, Tokuo
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State of Health Estimation for Lithium-Ion Batteries via Fused Impedance Feature and V‑Transformer-AGLU Network. [PDF]
Fang Y +6 more
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