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
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.
Ensemble Empirical Mode Decomposition Significance Test
The EEG_TF is a MATLAB toolbox designed to visualize time-frequency maps (spectrograms and scalograms) of the signals.
BASSA is a GUI-based software tool for time-frequency analysis of low frequency animal vocalisations.
GPU-accelerated continuous wavelet transform (CWT) scalogram viewer for WAV/FLAC audio — interactive zoom/pan with amplitude, phase & instantaneous-frequency views. Morlet, Generalized Morse, Bump & Paul wavelets. Cross-platform via wgpu (Vulkan/Metal/DX12).
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
Scalograms and spectrograms generated from the CICIoT2023 dataset for AI-based IoT traffic classification and reproducible cybersecurity research.
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