MICROPARTICLE COMPOSITES ON THE BASIS OF SCRAP UTILIZABLE IN THE FIELD OF AGRICULTURAL PRODUCTION



An Ensemble Machine Learning Model for Early Prediction of Vancomycin-Induced Acute Kidney Injury in ICU Patients

Introduction: Acute Kidney Injury (AKI) is a severe complication of vancomycin treatment due to its nephrotoxic effects.However, research on predicting AKI in this high-risk group remains limited.This study presents a stacking ensemble machine learning model designed to predict the onset of AKI in this patient population.Methods: Leveraging data fr

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Petri Net Model Based on Neural Network for Deadlock Control and Fault Detection and Treatment in Automated Manufacturing Systems

Previously, different deadlock control strategies for automated manufacturing systems (AMSs) based on Petri Nets with reliable resources have been proposed.However, in real-world applications, resources may be unreliable.Therefore, deadlock control strategies presented in previous research studies Range Hood are not suitable for such applications.T

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