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Filter-Informed Spectral Graph Wavelet Networks for Multiscale Feature Extraction and Intelligent Fault Diagnosis
Related publications (32)
Exploring the effectiveness of using internal CNC system signals for chatter detection in milling process
Chatter is a harmful self-excited vibration that commonly occurs during milling processes. Data -driven chatter detection and prediction is critical to achieve high surface quality and process efficiency. Most existing chatter detection approaches are base ...
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD2023Text as signal. A tutorial with case studies focusing on social media (Twitter)
Sentiment analysis is the automated coding of emotions expressed in text. Sentiment analysis and other types of analyses focusing on the automatic coding of textual documents are increasingly popular in psychology and computer science. However, the potenti ...
SPRINGER2022The spectral bias of polynomial neural networks
Volkan Cevher, Grigorios Chrysos, Leello Tadesse Dadi, Moulik Choraria
Polynomial neural networks (PNNs) have been recently shown to be particularly effective at image generation and face recognition, where high-frequency information is critical. Previous studies have revealed that neural networks demonstrate a spectral bias ...
2022