Open Heart

Artificial intelligence-based clustering to identify functional risk phenotypes in heart failure

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 ...
Devdiscourse

Rising heat, resilient markets: What AI reveals about livestock economics

Heat stress is widely recognized as a critical risk factor in livestock systems. Rising temperatures and humidity levels can ...
Scientific Research Publishing

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ()

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
IEEE

A Novel Two-Dimensional Random Switching Frequency PWM Method for Variable Frequency Drives

Abstract: In this paper, a new two-dimensional random switching frequency pulse-width-modulation (2D-RSF-PWM) method is proposed for variable frequency drives (VFDs). The proposed 2D-RSF-PWM method is ...
IEEE

Novel Methods to Construct Empirical CDF for Continuous Random Variables using Censor Data

Abstract: We deal with the problem of creating empirical CDF (ECDF) for a continuous random variable X, defined as time of an event of interest, such as failure or repair. The data sample to construct ...