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Scientific Research Publishing15d
Ali, A. and Fan, Y.Y. (2017) Unsupervised Feature Learning and Automatic Modulation Classification Using Deep Learning Model. Physical Communication, 25, 75-84.
We explore how these models enable feature extraction, anomaly detection, and classification across diverse signal types, including electrocardiograms, radar waveforms, and IoT sensor data. The review ...
IEEE21d
Improved Disentangled Speech Representations Using Contrastive Learning in Factorized Hierarchical Variational Autoencoder
Abstract: Leveraging the fact that speaker identity and content vary on different time scales, factorized hierarchical variational autoencoder (FHVAE ... improves both speaker identity and content ...
SciELO26d
An Effective Feature Extraction Method for Tomato Leafminer - Tuta Absoluta (Meyrick) (Lepidoptera: Gelechiidae) Classification
An effective method was improved to detect damage caused by Tuta absoluta pest on tomato leaves using a combination of transfer learning and feature extraction and machine learning approaches. In the ...
IEEE27d
A bearing fault feature extraction strategy based on finite frequency shift-invariant sparse coding
Therefore, a finite frequency shift-invariant sparse feature extraction strategy (FF-SISFES) for signal feature enhancement is proposed in this paper. The strategy consists of two parts. Firstly, a ...