What question did this study set out to answer?

To explore how machine learning, specifically Naïve Bayes techniques, can be used for material selection in electric vehicle chassis.

March 5, 2026Open Access

Material Selection for Electric Vehicles chassis using Machine Learning Naïve Baise Techniques

Key Points

To explore how machine learning, specifically Naïve Bayes techniques, can be used for material selection in electric vehicle chassis.
Utilized machine learning algorithms to analyze material properties.
Applied Naïve Bayes classification for candidate material evaluation.
Assessed multiple material options based on performance criteria.
Identified optimal materials for electric vehicle chassis using machine learning.
Demonstrated increased efficiency in material selection processes.
Highlighted potential cost savings through better material choices.

Abstract

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