IEEE

Spectrogram-Based Deep Learning Approach for Bird Species Recognition

Abstract: Birds are essential indicators of ecological health, yet traditional identification methods rely heavily on expert knowledge and visual observation. This paper presents an AI-powered system ...
IEEE

Spectrogram-Enhanced 2D CNN with Temporal Windowing for Motor Imagery EEG

Abstract: Motor imagery (MI) electroencephalography (EEG) has become a cornerstone of brain-computer interface (BCI) research due to its non-invasive nature and high temporal resolution. However, ...
Frontiers

Integration of PCG spectrogram texture and deep features for the diagnosis of heart failure with preserved ejection fraction using heterogeneous stacking ensemble learning

This study proposes a novel heterogeneous stacking ensemble learning model for the fusion of phonocardiogram (PCG) spectrogram texture and deep features to detect heart failure with preserved ejection ...
Microsoft

High-Fidelity Synthetic ECG Generation via Mel-Spectrogram Informed Diffusion Training

The development of machine learning for cardiac care is severely hampered by privacy restrictions on sharing real patient electrocardiogram (ECG) data. Although generative AI offers a promising ...