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Author

K. Paynabar

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4 papers indexed here

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Conference

Personalized Prediction and Control of Blood Glucose Levels using Dynamic System Modeling

Patients with diabetes in the ICU typically rely on two methods to monitor their blood glucose levels: blood tests analyzed in the laboratory and fingerstick tests. While fingerstick tests offer a cost-effective and convenient approach, they sacrifice accuracy, providing only approximate measurements. In this paper, we...

A. Popoola, Pooyan Kazemian, K. Paynabar · 0 citations
Conference

Enhancing Reduced-Order Models in High-Dimensional Engineering Applications through Gradient Boosting Tree

Addressing forward problems with high-fidelity models like Computational Fluid Dynamics (CFD) and Finite Element Analysis (FEA) presents significant challenges due to their computational demands from high-dimensional spatial discretization. These models are expensive, requiring powerful solvers and extensive computatio...

Melika Baghi, Xiao Liu, K. Paynabar · 0 citations
Conference

A tensor-based approach for monitoring partially observed high-dimensional data stream

With advancements in measurement equipment and communication technology, engineers in many fields now have access to high-dimensional (HD) data streams. In real-world applications, however, limited transmission bandwidth, time restrictions, and rising costs often lead to partial data observation. And practitioners have...

Junghee Pyeon, K. Paynabar · 0 citations
Conference

RDDPM: Robust Denoising Diffusion Probabilistic Models for Unsupervised Anomaly Detection and Segmentation in Contaminated Data

Anomaly detection in noisy images is essential for quality control in industries like steel, composites, and textiles. Traditional unsupervised anomaly segmentation models, including Robust Principal Component Analysis and Smooth Sparse Decomposition, rely on restrictive data assumptions including anomaly sparsity and...

Mehrdad Moradi, K. Paynabar · 0 citations

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