Connected and automated vehicles: Infrastructure, applications, security, critical challenges, and future aspects
Autonomous vehicles (AV) are game-changing innovations that promise a safer, more
convenient, and environmentally friendly mode of transportation than traditional vehicles …
convenient, and environmentally friendly mode of transportation than traditional vehicles …
Convolution neural networks for pothole detection of critical road infrastructure
A well developed and maintained highway infrastructure is essential for the economic and
social prosperity of modern societies. Highway maintenance poses significant challenges …
social prosperity of modern societies. Highway maintenance poses significant challenges …
6G connected vehicle framework to support intelligent road maintenance using deep learning data fusion
The growth of IoT, edge and mobile Artificial Intelligence (AI) is supporting urban authorities
exploit the wealth of information collected by Connected and Autonomous Vehicles (CAV) …
exploit the wealth of information collected by Connected and Autonomous Vehicles (CAV) …
Public attitude towards autonomous vehicles before and after crashes: A detailed analysis based on the demographic characteristics
K Othman - Cogent Engineering, 2023 - Taylor & Francis
Autonomous vehicles (AVs) have the potential to offer a large number of benefits such as
reducing the energy consumed and reducing the anxiety of the drivers. On the other side …
reducing the energy consumed and reducing the anxiety of the drivers. On the other side …
[HTML][HTML] Prediction of factors for controlling of green house farming with fuzzy based multiclass support vector machine
KD Thangavel, U Seerengasamy… - Alexandria Engineering …, 2023 - Elsevier
A smart greenhouse is a scheme with the aim of allowing the plant growth optimally due to
the control in temperature, soil moisture, and humidity. It is necessary to go for best possible …
the control in temperature, soil moisture, and humidity. It is necessary to go for best possible …
Artificial neural network-based DTC of an induction machine with experimental implementation on FPGA
Abstract Direct Torque Control (DTC) of Induction Machine (IM) has received increasing
attention due to its high performance and low dependence on machine parameters …
attention due to its high performance and low dependence on machine parameters …
Autonomous vehicle and its adoption: challenges, opportunities, and future implications
The future of mobility and adoption by the public has become a matter of general concern for
commuters, drivers, automotive industry and public authorities. Future transport is expected …
commuters, drivers, automotive industry and public authorities. Future transport is expected …
An Agent-Based Simulation Approach for Urban Road Pricing Considering the Integration of Autonomous Vehicles With Public Transport
The way in which autonomous transport will be adopted is likely to determine the net social
benefits delivered by the technology and the sustainability of the transport system …
benefits delivered by the technology and the sustainability of the transport system …
[HTML][HTML] Hardware implementation of neural network-based engine model using FPGA
MM Saady, MH Essai - Alexandria Engineering Journal, 2022 - Elsevier
This paper implements an artificial neural network (ANN)-based engine model using the
Field Programmable Gate Array (FPGA). The developed (ANN)-based engine model will be …
Field Programmable Gate Array (FPGA). The developed (ANN)-based engine model will be …
[HTML][HTML] An Integrated MCDM Approach for Enhancing Efficiency in Connected Autonomous Vehicles through Augmented Intelligence and IoT Integration
The rapid advancement of Connected Autonomous Vehicles (CAVs) equipped with self-
powered sensors is poised to revolutionize road safety, efficiency, and the quality of travel …
powered sensors is poised to revolutionize road safety, efficiency, and the quality of travel …