Autonomous, or self-driving, cars are emerging as the solution to several problems primarily caused by humans on roads, such as accidents and traffic congestion. However, those …
Y Ma, Z Wang, H Yang, L Yang - IEEE/CAA Journal of …, 2020 - ieeexplore.ieee.org
The advancement of artificial intelligence (AI) has truly stimulated the development and deployment of autonomous vehicles (AVs) in the transportation industry. Fueled by big data …
Application of machine learning (ML) to the prediction of reaction activation barriers is a new and exciting field for these algorithms. The works covered here are specifically those in …
Transportation and power generation have historically relied upon Internal Combustion Engines (ICEs). However, because of environmental impact and inefficiency, considerable …
J Ainsalu, V Arffman, M Bellone, M Ellner, T Haapamäki… - Sustainability, 2018 - mdpi.com
Urban transportation in the next few decades will shift worldwide toward electrification and automation, with the final aim of increasing energy efficiency and safety for passengers …
A Haddaji, S Ayed, LC Fourati - Computers and Electrical Engineering, 2022 - Elsevier
Rapid advancements in communication technology have made vehicular networks a reality with numerous applications. However, vehicular network security is still an open research …
FE Morooka, AM Junior, TFAC Sigahi, JS Pinto… - Machine Learning and …, 2023 - mdpi.com
Applications of deep learning (DL) in autonomous vehicle (AV) projects have gained increasing interest from both researchers and companies. This has caused a rapid …
D Gangwani, P Gangwani - … of Artificial Intelligence and Machine Learning …, 2021 - Springer
Due to the tremendous population growth in the country, the use of vehicles and other transportation means has increased which has led to traffic congestion and road accidents …