A constrained NMF framework disaggregates national grid load data into identifiable residential, services, and industrial components whose monthly estimates match reported statistics.
Gillis, Nonnegative Matrix Factorization, Data Science, Society for Industrial and Applied Mathematics, 2020
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Combining NNMF feature selection with lightweight CNN and diffusion-based denoising creates a more robust system for brain tumor classification from MRI under adversarial conditions.
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A Blind Source Separation Framework to Monitor Sectoral Power Demand from Grid-Scale Load Measurements
A constrained NMF framework disaggregates national grid load data into identifiable residential, services, and industrial components whose monthly estimates match reported statistics.
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Diffusion-Based Feature Denoising and Using NNMF for Robust Brain Tumor Classification
Combining NNMF feature selection with lightweight CNN and diffusion-based denoising creates a more robust system for brain tumor classification from MRI under adversarial conditions.