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cs.LG2026
A Data-Driven Framework for Unsupervised Monitoring of Transmission Systems Using End-of-Line Testing Data: A Case Study at Ford Motor Company
Mohammad N. Bisheh, Mehrdad Moradi, Parinaz Farajiparvar +6
Sensing technologies have advanced rapidly across industries ranging from energy to automotive manufacturing. These systems generate high-dimensional (HD) data characterized by com…
stat.ML2026
Low-Rank and Structured Sparse Tensor Decomposition for Anomaly Detection in Multivariate Functional Data
Mohammad N. Bisheh, Che-Yi Liao, Kamran Paynabar
Multivariate functional data arise in many modern manufacturing systems, where multiple sensors record densely sampled process trajectories. Monitoring such data is challenging bec…
eess.SP2026
Stagewise Anomaly Detection for E-Transaxle Quality Monitoring Using Wavelet and STFT Features
Mohammad N. Bisheh, Rajesh Gupta, Qian Wang +5
This paper presents two interpretable machine-learning frameworks for quality screening of e-transaxle assemblies in electric vehicles: a Stagewise Wavelet Isolation Forest (SWIF)…