Toward the Green Electromobility Paradigm through Artificial Intelligence Applications
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Transportation and Future Mobility".
Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 1181
Special Issue Editors
Interests: transport industry; green electromobility; artificial intelligence applications; machine learning algorithms; biometric recognition
Special Issues, Collections and Topics in MDPI journals
Interests: renewable resources; hydrogen energy; fuel cell technology; hybrid energy system; smart stand‐alone systems; electric vehicle charging station; blockchain technology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The evolution toward green electromobility will be a revolution. The mobility requirements of tomorrow imply taking into account various elements regarding energy, power supply, infrastructures, technologies, the environment, socioeconomics, and politics, in the context of social transformation that develops far beyond the transport industry. Artificial intelligence is a technological trend whose popularity has exploded in recent years, not only because it is a very promising market, but also because it offers new opportunities for different research directions. Artificial intelligence (AI) refers to systems or machines that mimic human intelligence to perform various activities and can be improved iteratively based on the information it collects. Artificial Intelligence is present and integrated in more and more fields, and applications for any field, either for efficiency, or for simplifying processes, or in everyday life. This Special Issue is intended to collect research articles or reviews that address artificial intelligence applications in the transport industry, especially green electromobility.
This Special Issue includes but is not limited to the following topics:
- Machine learning algorithms for the transport industry;
- The interaction between humans and machine through biometric recognition;
- Effective management tools and accurate data on which decisions can be made;
- Process automation;
- Development of virtual assistants;
- Language technology and natural language processing;
- The process of converting spoken words into digital format in order to transcribe them into useful code for various software applications useful in the transport industry;
- Neural networks applied to the transport industry;
- Intelligent 5G technology for the transport industry;
- Current and future trends in applications of intelligent electromobility.
Dr. Raluca Andreea FELSEGHI
Dr. Maria Simona Raboaca
Guest Editors
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Keywords
- transport industry
- green electro-mobility
- artificial intelligence applications
- machine learning algorithms
- biometric recognition
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