Introduction: Moving Beyond Predictive Accuracy  Prediction has been traditionally the backbone of applied data science. From ...

Objectives This study examined discharge outcomes and their predictors among patients enrolled in remote patient monitoring (RPM) support in Ontario, Canada. Design A 6-month competing risk survival ...

Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn ...

Abstract: Aiming at suppressing the switching frequency harmonics in the integrated permanent magnet synchronous motor (PMSM) systems, a discrete random switching period (DRSP) space vector pulse ...

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In mechanical system modeling, uncertainties are present and, to improve the predictability of the models, they should be taken into account. This work discusses uncertainties present in boundary ...

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Abstract: Adaptive Random Testing (ART) is proposed to enhance the effectiveness of Random Testing (RT) based on the notation that evenly distributing test cases across the whole input domain.