Emotion recognition from EEG signals has been one of the most promising areas due to its potential in enhancing human–computer interaction, especially in adaptive systems. This paper proposes a novel ...

Abstract: Time–frequency (TF) analysis (TFA) is a valuable tool for capturing nonstationary features in time-varying signals. However, for strongly amplitude-modulated and frequency-modulated (AM–FM) ...

Abstract: Schizophrenia (Sz) is a complex mental disorder characterized by disruptions in thought processes, perceptions, and emotional regulation. It is imperative to identify schizophrenia at an ...

Researchers are constantly sifting through new spectral data gathered by powerful telescopes, like the James Webb Space ...

Color-changing mood rings, forehead fever strips and car-shade indicators all change hues as they warm and cool, thanks to a ...

Disney's Imagineering Research & Development unit is using Adobe’s Firefly Foundry to help Imagineers design and visualize ...

Investment firm HarbourView Equity Partners has announced a strategic partnership with Wolf Cousins, the songwriting ...

The intersection of machine learning, biosensing technologies, and neurological behavior analysis presents fertile ground for groundbreaking research and innovation. This research topic aims to bridge ...

This project presents a comprehensive analysis of Photoplethysmography (PPG) signals and Pulse Oximetry principles for non-invasive monitoring of heart rate and blood oxygen saturation (SpO₂). The ...

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