AI tools are frequently used in data visualization — this article describes how they can make data preparation more efficient ...
Abstract: As cloud infrastructure becomes more widely used, the need for better ways to monitor system performance and detect issues has become important. This work focuses on developing a cloud-based ...
Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...
Background/aims Posterior capsule opacification (PCO) is the most frequent long-term complication after cataract surgery, caused by proliferation of residual lens epithelial cells (LECs). Metformin, a ...
Objectives The optimal maternal age at childbirth has been a topic of bourgeoning literature, with earlier ages offering physiological benefits for maternal recovery. In contrast, later ages to give ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Abstract: The open radio access network architecture (O-RAN) architecture leverages intelligent near-real-time applications, known as xApps, to optimize network performance and services. However, ...
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