Audio classification via transfer learning
Deep learning framework for accurate blood pressure (BP) estimation from PPG signals. Features include signal selection & enhancement, dual-path temporal/image-based feature extraction, M-SCAN attention, MSFN fusion, and D-QuEST loss with domain knowledge integration. Extensive diversity analysis ensures robustness of the work.
Features from audio: Spectrogram, (Wavelet Transform) Scalogram, (Q Transform) Spectrogram
Ensemble Empirical Mode Decomposition Significance Test
End-to-end predictive maintenance pipeline using WGAN-GP to fix class imbalance, CWT/STFT for feature extraction, and lightweight CNNs with INT8 ONNX for fast edge inference, plus real-time monitoring and web UI.
BASSA is a GUI-based software tool for time-frequency analysis of low frequency animal vocalisations.
The EEG_TF is a MATLAB toolbox designed to visualize time-frequency maps (spectrograms and scalograms) of the signals.
Course project of measure analysis in PetrSU
Toy Project about Physical Computing using Arduino and Raspberry Pi with IMU Sensor and Vision Algorithm for Hand-Gesture Recognition
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