Multivariate signal decomposition techniques have become indispensable for the early detection and diagnosis of faults in complex engineering systems. By harnessing data from multiple sensors, these ...
Researchers in India have built a lightweight brain-computer interface framework that combines sliding-window segmentation, Fourier decomposition, and a compact neural network to decode imagined ...
Tensor decomposition encompasses a suite of mathematical techniques for expressing high-dimensional data arrays as structured combinations of lower-dimensional factors. By generalising matrix ...
Newswise — In the field of energy and emission policy research, decomposition analysis is a key tool for quantifying drivers of energy consumption and CO₂ emissions. However, existing research has ...
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