A Multimodal AI-Based Medical Triage System Using Late Fusion
This paper presents a novel multimodal medical triage system that combines textual symptom analysis, vital sign interpretation, and medical image processing through a late fusion architecture. The system employs conflict-aware severity optimization to handle discrepancies between modalities, achieving superior diagnostic accuracy in emergency settings.
Read Paper ↗The Convergence of AI & Visual Art: Tools, Ethics and the Future
An exploration of the intersection between artificial intelligence and visual art. This paper examines the ethical implications of AI-generated art, evaluates current tools and techniques, and proposes a framework for responsible AI art creation that respects both technological innovation and artistic integrity.
Read Paper ↗Smartphone-Based Real-Time Cyclist Safety via YOLOv5n
A real-time object detection system optimized for cyclist safety using the YOLOv5n architecture. The system runs on smartphone hardware to provide live hazard alerts, vehicle proximity detection, and route safety scoring, making cycling safer in urban environments.
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