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  1. Padé Approximant Neural Networks as Feature Extractors for Unsupervised Domain Adaptation in Bearing Fault Diagnosis
  2. Padé Approximant Neural Networks for Enhanced Electric Motor Fault Diagnosis Using Vibration and Acoustic Data
  3. Audio-based Anomaly Detection in Industrial Machines Using Deep One-Class Support Vector Data Description
  4. Thermal Image-Based Fault Diagnosis in Induction Machines via Self-Organized Operational Neural Networks
  5. Correction: Bearing fault detection in adjustable speed drives via self-organized operational neural networks
  6. Bearing fault detection in adjustable speed drives via self-organized operational neural networks
  7. Smartphone-based Bearing Fault Diagnosis in Rotating Machinery using Audio Data and 1D Convolutional Neural Networks
  8. Hyperspectral Image Analysis with Subspace Learning-based One-Class Classification
  9. Improved Domain Adaptation Approach for Bearing Fault Diagnosis
  10. Comparison of Different Machine Learning Techniques for the Cuffless Estimation of Blood Pressure using PPG Signals
  11. Pulse Transit Time Based Blood Pressure Estimation in LabVIEW Environment using Non-Contact ECG Electrodes and Pulse Sensor