Abstract: Conventional machine learning methods require devices to transfer their data to a central server because the server intensively stores all the data and trains the model. However, if the data ...
Abstract: This study proposes a novel distributed model predictive control (DMPC) approach for mixed vehicle platoons (MVPs), which achieves driving safety, asymptotic stability, and traffic wave ...
Different AI models win at images, coding, and research. App integrations often add costly AI subscription layers. Obsessing over model version matters less than workflow. The pace of change in the ...