AIFIT-2021: Artificial Intelligence for Future Intelligent Transportation : Smarter and Greener Design |
Submission link | https://easychair.org/conferences/?conf=aifit2021 |
Abstract registration deadline | February 15, 2021 |
Abstract Acceptance Notification | March 3, 2021 |
Submission deadline | April 30, 2021 |
Review of Chapters notification to Authors | May 15, 2021 |
Revised Chapter Submission | May 23, 2021 |
Final Acceptance/Rejection Notification | May 31, 2021 |
Abstract Submission Link | https://easychair.org/conferences/?conf=aifit2021 |
Call for Book Chapter
Artificial Intelligence for Future Intelligent Transportation: Smarter and Greener Design
Transport is the biggest source of air and noise pollution. Emission of CO2 is a major source for climate change and traffic noise. The ecological effect of transport is huge in light of the fact that transport is a significant user of energy, and consumes the vast majority of the world's oil. This makes air contamination, including nitrous oxides and particulates, and is a huge supporter of an global-warming boost through discharge of carbon dioxide. The major key issues of transportation are car pollution, low emission zones, vehicle emission testing and aviation pollution. The fast advancement of Artificial Intelligence ( AI) advances provides unparalleled opportunities to boost the efficiency of various industries and companies, including the transport sector.The inventions developed by AI include highly sophisticated methods of computation that replicate the way the human brain operates. The intention of the application of AI in the transportation sector is to overcome the challenges of growing demand for travel, CO2 emissions, safety issues and environmental deterioration. In view of the availability in this digital age of a large amount of primary and secondary data sources and AI, it has become more feasible to answer these issues in a more efficient and successful way.
Through new inventions from AI, machine learning, deep learning, and the Internet of things (IoT), expert system, neutral networks , smart sensors, drones etc come out to be the most often used techniques for pollution control. Some of the examples of AI techniques that are forcing their way to transportation sector includes Artificial Neural Networks (ANN), Genetic algorithms (GA), Simulated Annealing (SA), Artificial Immune system (AIS), Ant Colony Optimiser (ACO) and Bee Colony Optimization (BCO) and Fuzzy Logic Model (FLM). Artificial intelligence makes self-governing autos conceivable and encourages them to navigate, yet additionally do as such as proficiently as would be prudent. This book brings in the best of Artificial Intelligence techniques and it will sketch how it can be implemented to provide solutions to mitigate, minimize and control pollution. Highlighting a wide range of topics in AI techniques, this book is ideal for AI researchers, AI innovators, machine learning engineers, scientist from deep learning community, academicians, students.
List of Topics
- Introduction: Artificial Intelligence approaches
- Introduction to Intelligent transport system
- Overview of transportation air pollution
- Health and environmental impact on transport pollution
- Various AI models to mitigate transport pollution
- Neural Network approaches for transportation
- Hybrid ANN to efficient prediction and mitigation of pollution
- Bayesian Inference model for transport pollution
- Statistical AI models in Intelligent transport system
- Reinforcement learning in smart transportation
- Role of AI and IoT in intelligent transportation
- Potential applications of AI in transportation
- AI techniques for future smart transportation
- AI and machine learning for urban air quality assessment
- Case Study: AI based Green transportation
- Any other related topic
Editors
- Dr. Rajesh Kumar Dhanaraj, School of Computing Science and Engineering, Galgotias University, Greater Noida, India
- Dr. Nilayam Kumar Kamila, Master Software engineer, Capital One, USA
- Dr. Subhendhu Kumar Pani, Dept. of CSE , OEC, Nijigarh Kurki, Jatni, Khordha
- Dr. Balamurugan Balusamy, School of Computing Science and Engineering, Galgotias University, Greater Noida, India
- Prof. Vani Rajasekar, Department of CSE, Kongu Engineering College, Erode-638060, India
Submission Guidelines
Researchers and practitioners are invited to submit on or before 15th Feb. 2021, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by 03rd Mar., 2021 about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by 30th Apr., 2021. The minimum length of the chapter should not be less than 20-25 pages (7,000 to 10,000 words). The full chapter includes Title of paper, Authors Name, Authors affiliations, email ID, Corresponding author details, department, Authors Bio, etc. with (Font Size 12, Font Style: Times New Roman, Line Space: 1 Point, Headings: 12+Bold) with APA reference style. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.
Publication
The purpose of Apple Academic Press is to publish books and journals in the technical applied sciences for both the practitioner in industry (engineer and technician) and the researcher in academia. This high- quality content is essential to our professional customers and is sold globally as print and electronic as well as in aggregated databases. We believe our content helps businesses and industry achieve cost efficiencies and higher productivity. We also believe that our new journal titles will be unique and important resources for both the practitioner and researcher in the fields represented. This publication is anticipated to be released in July, 2021.
Contact
All questions about submissions should be emailed to Ms.Vani Rajasekar (Email: aifit2021@gmail.com)