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 Energy Drinks drive motor becomes more important to have optimal performance and safety.Traditional fault detection methods suffer mainly from high false positive and false negative rates, computational complexity, and lack of transparency in decision-making methods.In addition, e

The high-yielding, medium late winter wheat cultivar NS Pudarka was developed by crossing genetic divergent parents: line NMNH-07 and cv.NS 40S and Simonida.In cultivar NS Pudarka genes responsible Stock Pads for high yield potential, very good technological quality, resistance to lodging, low temperature and diseases, were successfully combined.It

Statement of Problem: Bulk-fill composites have recently been introduced.There are few studies conducted on them.Objectives: Therefore, the aim of this study is to ascertain the effect of C-factor and the method of bulk-fill and nanohybrid composites placement on their microtensile bond strength to dentin.Materials and Method: In this study, 40 ext

With the accumulation of the ionospheric radio occultation (IRO) data observed by - Chews Global Navigation Satellite System (GNSS) occultation sounder (GNOS) onboard FengYun-3C (FY3C) satellite, it is possible to use GNOS IRO data for ionospheric climatology research.Therefore, this work aims to validate the feasibility of FY3C/GNOS IRO products i

A novel Wye-wye transformer design for active system grounding, is described in this paper.Proposed as a solution to improve the ground fault performance in distribution line networks, the zero-sequence flux developed in the magnetic core of a transformer is on Hats a ground fault harvested by coils wound around three limbs, or extra limb(s) in a W