Hao Yan
Hao Yan
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Jianjun Shi
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ANTLER: Bayesian nonlinear tensor learning and modeler for unstructured, varying-size point cloud data
ANTLER: Bayesian Nonlinear Tensor Learning and Modeler for Unstructured, Varying-Size Point Cloud Data
A tensor voting-based surface anomaly classification approach by using 3D point cloud data
AKM2D: An Adaptive Framework for Online Sensing and Anomaly Quantification
Dynamic Multivariate Functional Data Modeling via Sparse Subspace Learning
Multiple Tensor-on-Tensor Regression: An Approach for Modeling Processes With Heterogeneous Sources of Data
Multiple profiles sensor-based monitoring and anomaly detection
Real-time monitoring of high-dimensional functional data streams via spatio-temporal smooth sparse decomposition
Weakly correlated profile monitoring based on sparse multi-channel functional principal component analysis
A wavelet-based penalized mixed-effects decomposition for multichannel profile detection of in-line Raman spectroscopy
Anomaly detection in images with smooth background via smooth-sparse decomposition
Generalized Wavelet Shrinkage of Inline Raman Spectroscopy for Quality Monitoring of Continuous Manufacturing of Carbon Nanotube Buckypaper
Fast wavenumber measurement for accurate and automatic location and quantification of defect in composite
Multiple Sensor Data Fusion for Degradation Modeling and Prognostics Under Multiple Operational Conditions
Frequency Domain Instantaneous Wavenumber Estimation for Damage Quantification in Layered Plate Structures
Image-based process monitoring using low-rank tensor decomposition
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