I am working on a project that detects depression for multimodal aspects like textual and visual input (video and images) The project uses deepVid dataset (both labeled images and unlabeled videos) ...

Abstract: The classification of multiple food items within a single image remains a significant challenge in computer vision due to occlusion, lighting variations, and diverse food appearances. This ...

ABSTRACT: Cognitive impairment is a frequent and debilitating outcome of stroke, profoundly affecting patient independence, recovery trajectories, and long-term quality of life. Despite its prevalence ...

This project implements ResNet-50, a deep convolutional neural network with 50 layers that uses residual connections to enable training of very deep networks. The architecture includes identity ...

In the world, breast cancer is one of the leading causes of mortality among women who have been diagnosed with cancer. A timely finding and accurate diagnosis are essential to the development of ...

This project provides a non-invasive system to predict a person’s ABO/Rh blood group from their fingerprint image using deep learning. The solution combines advanced CNN modeling, non-invasive data ...

The start-up, which creates A.I. companions, faces lawsuits from families who have accused Character.AI’s chatbots of leading teenagers to kill themselves. By Natallie Rocha and Kashmir Hill Natallie ...

An anterior cruciate ligament (ACL) tear is a prevalent knee injury among athletes, and aged people with osteoporosis are at increased risk for it. For early detection and treatment, precise and rapid ...

With 4 million app downloads, Estonia-based startup Vocal Image aims to help people improve their voice and communication skills with AI-powered coaching. But out of its 160,000 active users, it may ...

Abstract: The classification of agricultural crops such as cassava, corn, rice, and sugarcane is crucial for efficient data collection and decision-making. However, the limited availability of labeled ...