Proper waste sorting is very important for keeping our neighbourhoods clean and saving resources for the future. When we mix ...

Object detection remains a fundamental yet challenging problem in machine vision. Over the past decade, numerous state-of-the-art solutions have been developed, predominantly based on deep learning.

When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found something astonishing. Dust and rock collected from the asteroid Bennu ...

This project showcases a sophisticated pipeline for object detection and segmentation using a Vision-Language Model (VLM) and the Segment Anything Model 2 (SAM2). The core idea is to leverage the ...

Betting companies train machine learning programs to monitor players’ behaviour. AI technologies seem to have been integrated into every corner of our lives. Most businesses have jumped on the ...

Introduction: Peripheral Artery Disease (PAD) is a progressive vascular disorder impairing mobility, raising fall risk, and reducing quality of life. Early detection is key to preventing amputations ...

Abstract: Hardware Trojans in high level synthesis (HLS) generated intellectual property (IP) designs pose significant security threats. The HLS frameworks, while enabling efficient hardware design ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...