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 ...
Introduction Women with high-risk pregnancies (eg, pre-eclampsia, imminent preterm birth) are often hospitalised due to the need for foetal and maternal monitoring. They are monitored for 30–45 min up ...
A little while back, we took a look at a large cargo bike from Urban Arrow that had some interesting features: a drive train that sported continuous variable gearing and a belt drive. But it was ...
Probability theory is indispensable in computer science: It is at the core of artificial intelligence and machine learning, which require decision making under uncertainty. It is integral to CS theory ...
Abstract: Quantum random number generators (QRNGs) harness quantum mechanical unpredictability to produce true randomness, which is crucial for cryptography and secure communications. Among various ...
Fault-tolerant quantum computing architecture using hybrid qubits / Fault-tolerant quantum computing architecture based on hybrid qubits that utilize both DV and CV qubits simultaneously. It utilizes ...
Infinite scroll is a way of showing content that was popularized by social media in which users can aimlessly navigate in a state of constant discovery. It’s purposeless navigation. In 2021 Google ...
A random field is the representation of the joint probability distribution for a set of random variables. Markov fields, in particular, have a long standing tradition as the theoretical foundation of ...
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