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 ...
A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
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 ...
Finding the right book can make a big difference, especially when you’re just starting out or trying to get better. We’ve ...
Abstract: In this article, a machine-learning-assisted antenna array isolation optimization method for bistatic in-band full-duplex (IBFD) communication systems based on a novel intelligent surface ...
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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