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Kamran Paynabar

A Single Image Is All You Need— Zero-Shot Anomaly Localization Without Training Data
Real-Time Detection of Clustered Events in Video-Imaging Data with Applications to Additive Manufacturing
AKM2D: An Adaptive Framework for Online Sensing and Anomaly Quantification
Multi-Sensor Prognostics Modeling for Applications with Highly Incomplete Signals
Comments on— On Active Learning Methods for Manifold Data
Multiple Tensor-on-Tensor Regression: An Approach for Modeling Processes With Heterogeneous Sources of Data
Structured Point Cloud Data Analysis Via Regularized Tensor Regression for Process Modeling and Optimization
Real-time monitoring of high-dimensional functional data streams via spatio-temporal smooth sparse decomposition
Anomaly detection in images with smooth background via smooth-sparse decomposition
Point Cloud Data Analysis for Process Modeling and Optimization
Fast wavenumber measurement for accurate and automatic location and quantification of defect in composite
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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