Model-based clustering provides a principled way of developing clustering methods. We develop a new model-based clustering methods for count data. The method combines clustering and variable selection ...
Abstract: Integrating range-extended electric vehicles (REEVs) in the automotive market is a key part of the drive toward environmental sustainability. This paper leverages an experience-shared ...
Abstract: This article proposes a robust model predictive control (RMPC)-based solution for the recently introduced series active variable geometry suspension (SAVGS) to improve the ride comfort and ...
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