HIGHLIGHTS
- who: Fakhreddine Jalti and collaborators from the Laboratory of Renewable Energy, Embedded System and Information Processing, National School of Applied, Department of Engineering, of Messina, Messina, Italy have published the research: An Advanced Rider-Cornering-Assistance System for PTW Vehicles Developed Using ML KNN Method, in the Journal: Sensors 2023, 1540 of /2023/
- what: In this work the authors developed an Advanced Rider-cornering Assistance System (ARAS) based on the skills learned by riders running across curvilinear trajectories using Artificial Intelligence (AI) and Neural Network (NN) techniques. The challenges this study aims to address are . . .
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