ENSEMBLEXAI-MOTOR: A LIGHTWEIGHT FRAMEWORK FOR FAULT CLASSIFICATION IN ELECTRIC VEHICLE DRIVE MOTORS USING FEATURE SELECTION, ENSEMBLE LEARNING, AND EXPLAINABLE AI

As electric vehicles (EVs) are growing, the fault diagnosis in their drive motor becomes more important to have optimal performance and safety.Traditional fault detection methods Art by Era suffer mainly from high false positive and false negative rates, computational complexity, and lack of transparency in decision-making methods.In addition, exis

IntroductionHuman papillomavirus Virus (HPV)-associated oropharyngeal squamous cell carcinoma (OSCC) has increased in incidence in recent decades and represents a heterogeneous disease entity in the context of Head and Neck Squamous Cell Carcinoma (HNSCC), in terms of disease prognosis.Treatment of locoregionally advanced OSCC is mainly based on co

Substance use disorders (SUD) are common in adolescents and young adults, though few youth with SUD receive treatment, and rates of medication for substance use disorder treatment are much lower in youth compared to adults.Pediatric primary care could present an opportunity for youth with SUD to access medication, though pediatric providers may Foo