… Machine learning mechanisms are characterized by the time change and are critical … -vehicle
network scenarios. This paper aims to provide theoretical foundations for machine learning …

… vehicle-to-vehicle (V2V) communications in a smart transportation environment. The correctness
of data exchanged among vehicles is paramount to ensure vehicles … machine learning (…

… a brief concept about machine learning methods and … review of using ML in internet of vehicles.
The chapter reviews a brief … based and vehicles to every thing’s internet communications. …

… In this paper, we focus on the Internet of Vehicles (IoV), … of edge intelligent services, the
Internet of Vehicles (IoV) can provide reliable internet services through Vehicle-toEverything (V2X…

… provide safety conditions for data transmission between vehicles as a V2V case study to …
machine learning method is presented to predict optimal energy consumption between vehicles …

… VANET using machine learning. A … vehicles by machine learning and found machine
learning an effective method for vehicular network security [14]. The VANET and machine learning …

… , integrating Machine Learning (ML) with the Internet of … the Internet of UAVs, it is diicult for
computation as well as communication resource allocation and task scheduling in the Internet …

… on vehicle trajectory. In [4] the author has presented on three machine learning techniques
… congestion prediction using vehicle trajectory available for connected vehicles. Two types of …

… Accordingly, this paper focuses on employing machine learning techniques as to cope with
… Different machine learning algorithms were employed for classifying vehicles as trustworthy …

… the driver and the vehicle interact and how vehicles within the … involving Machine Learning
and Deep Learning algorithms … This inspires our proposal for an enhanced Machine Learning …