Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Abstract: In this study, we aim to develop a respiratory disease detection and classification model using machine learning techniques. Respiratory diseases are a significant global health problem, and ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive technology and inclusive education. In an attempt to close that gap, I developed a ...

December 10, 2025—The Software Engineering Institute (SEI) today released a white paper describing the forthcoming Artificial Intelligence (AI) Adoption Maturity Model, which aims to help ...

Abstract: As one of the core tasks in vision recognition, image classification is widely used in various scenarios. Most existing mainstream image classification models use the Convolutional Neural ...

This project implements a comprehensive Computer Vision MLOps pipeline for aerial object analysis, specifically designed to classify and detect birds vs drones in aerial imagery. The system combines: ...

Low-income Americans did not receive any or enough legal assistance for 92 percent of their civil legal problems, according to a report from the Legal Services Corporation. Yale’s Legal AI Lab, which ...

The researchers have used computational fluid dynamics-based modelling of snow patterns in an effort to establish best practices to mitigate snow accumulation in alpine PV plants. “Alpine PV systems ...

Scientists at Tufts have created a powerful 3D model of nasal tissue that reveals surprising new insights into how our sense of smell regenerates and why it sometimes fades. Contrary to past ...