Abstract: Emotion detection from handwriting and drawing presents a promising yet underexplored avenue for scalable mental health monitoring. This is particularly relevant within consumer-centric ...

This project implements a context-aware spam detection system using Python. Unlike naive filters, it does not assume unknown senders are scammers. Decisions are made using behavior-based scoring and ...

In today's hyperconnected world, social media has become a critical channel for businesses to understand consumers. While social listening tools are widely used, they often fall short, providing only ...

Abstract: Emotion recognition and consciousness detection are critical in neuroscience. Patients with disorder of consciousness (DOC) often cannot express feelings or respond definitively to stimuli ...

Introduction: The global rise in mental health issues has become a significant public health challenge, exacerbated by the reluctance of many individuals to share their mental health concerns due to ...