Machine Learning Techniques for Undertaking Roundabouts in Autonomous Driving

We reviewed and highlighted the significance of big data analytics for personalized medicine and health care by focusing mostly on machine learning perspectives on

Rosen, Autonomous tissue manipulation via surgical robot using learning based model predictive control, in: 2019 International Conference on Robotics and Automation, ICRA, IEEE,

This project is going to focus on the design, implementation and analysis of a new machine learning model based on decision trees and other models, specifically neural networks..

In  this  paper,  the  autonomous  navigation  system  of  the  underwater  vehicle  consisting  of  a  Self‐Organization  Direction  Mapping  Network  (SODMN)  and 

Abstract: This paper presents the process required to implement a data driven Predictive Maintenance (PdM) not only in the machine decision making, but also in data acquisition

The recent exponential growing of machine learning techniques (data-mining, deep-learning, manifold learning, linear and nonlinear regression techniques ... to cite but a few) makes

VARON enables the optimization of vehicle-to-vehicle communications in a secure way by combining a network mobility approach – that supports vehicle-to-Internet communications via

as having a driving behavior