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problem in Engineering. This prediction often implies the knowledge and application of sophisticated

for the remaining useful life (RUL) prediction of lithium-ion batteries. The GC process uses two independent

This article discusses the use of machine learning methods to predict the degree of threat

for Lithium-ion batteries remaining useful life (RUL) prediction. Firstly, the FBM degradation model

system’s reliability. Therefore, this study suggests a way to predict the intensity of solar irradiance

significantly associated with MetS. The optimal predictive model used polygenic scores calculated with weights

Coronary Stent Thrombosis Prediction in Patients With Acute Coronary Syndrome

Remaining useful life prediction guarantees a reliable and safe operation of turbofan engines. Long

. For the reliable and safe operation of CGC, the prediction of its remaining useful life (RUL) of relevance

to predict the severity when the patient enters the hospital. AIM OF THE STUDY To assess the possibility

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