IEEE

Emotion Recognition from EEG Signals Using a Hybrid Deep Learning Approach

Abstract: In recent years, the rise of advanced machine learning techniques has led to an increase in research on brain-computer interfaces. It’s considered a multifaceted challenge to develop ...
Scientific American

Can AI stop wildfires before they start?

From vegetation scans to 360-degree smoke detectors, new tools are trying to shine a light on the most dangerously dark areas ...
IEEE

Fine-grained EEG emotion recognition using lite residual convolution-based transformer neural network

Abstract: Current electroencephalogram (EEG)-based emotion recognition research confronts two main challenges. On the one hand, most EEG emotion datasets have limited stimulus diversity and ...
Gothamist

Not just Wegmans: More NYC retailers using facial recognition as tech outpaces law

Grocery chain Wegmans’ expanding use of facial recognition technology in New York City is reigniting debates over consumers’ privacy rights and retailers’ interest in safeguarding their stores. But ...
Frontiers

Exploring physical and functional EEG connectivity with multilayer graph transformer convolutional networks for emotion recognition

1 School of Automation, Nanjing University of Science and Technology, Nanjing, Jiangsu, China 2 School of Engineering, University of Birmingham, Birmingham, United Kingdom Electroencephalogram ...