Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

Integrating deep learning with traditional forecasting techniques can improve early warning systems by capitalizing on each ...

Abstract: Lifelong learning (LLL) defines a training paradigm that aims to continuously acquire and capture new concepts from a sequence of tasks without forgetting. Recently, dynamic expansion models ...

Artificial intelligence (AI) has rapidly become one of the most frequently referenced concepts in high-performance sport. It ...

The dynamic analysis of lower limb biomechanics is crucial for understanding gait, posture, and load distribution, which are foundational for ...

From tropical forests to coastal reserves, destinations built around natural heritage are facing mounting pressure to manage tourism more precisely. The pandemic disrupted visitor flows and revealed ...

An AI-powered model developed at the University of Michigan can read a brain MRI and diagnose a person in seconds, a study suggests. The model detected neurological conditions with up to 97.5% ...

The new coding model released Thursday afternoon, entitled GPT-5.3-Codex, builds on OpenAI’s GPT-5.2-Codex model and combines insights from the AI company’s GPT-5.2 model, which excels on non-coding ...

Abstract: The automated extraction of the relations among the concepts in textual descriptions is important for problems that require creating implementations of those descriptions, e.g., synthesizing ...

Objective: This study aims to address the challenge of early detection of EDCA by developing an innovative deep learning model, the ECG-Image-Aware Network (EIANet), which uses 12-lead ECG images for ...