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 ...

Monitoring and treating heart failure (HF) is a challenging condition at any age. Several models, such as Atrial fibrillation, Hemoglobin, Elderly, Abnormal renal parameters, Diabetes mellitus (AHEAD) ...

Abstract: Static type inference is an effective way to maintain the safety of programs written in a dynamically typed language. However, foreign functions implemented in another programming language ...

Why write ten lines of code when one will do? From magic variable swaps to high-speed data counting, these Python snippets ...

This python crash course book on Amazon is great for beginners who want to learn programming. It teaches Python basics step-by-step and includes exercises to help you practice. You’ll build real ...

Abstract: The influence of static eccentricity (SE), dynamic eccentricity (DE), and mixed eccentricity (ME) on the position error of variable reluctance resolvers (VR ...

Python -O won’t magically make every script faster, but in the right workloads it’s a free win—here’s how to test it safely.

This respository is to gather some useful Python functions and use cases for PSS/E. Python can be used to call PSS/E and do simulations without open PSS/E. 06/26/2021 ...