Smart Mobility and Intelligent Transportation Systems for Commercial and Hazardous Vehicles
Apple Academic Press Inc. (Verlag)
978-1-77491-538-7 (ISBN)
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This new volume considers the use of smart technologies in commercial and hazardous vehicles, looking at the challenges and solutions to transportation issues that can be solved with such intelligent applications as artificial intelligence, Internet of Things, neural networks, blockchain, machine learning, big data, etc. The book illustrates the use these smart technologies for vehicle pedestrian detection, in the planning of smart cities for traffic patterns, for the improvement of transportation power stations, for smart railway cargo management systems, and more.
Naga Swetha Pasupuleti, PhD, is Associate Director of International Relations at SRM University, Andhra Pradesh, India. She has over 15 years of leadership experience as an academician and administrator in academics, research, industry, and administration. She has worked in various parts of the world (USA, Africa, UAE, etc.). As a researcher, she specializes in sustainable transportation, transportation safety, ITS (intelligent transportation systems), and transportation planning. She has published nine books and several papers in reputed national and international journals. T. Poongodi, PhD, is Professor of Computing Science and Engineering at the Galgotias University, Delhi, NCR, India. Her research interests include network security, wireless ad hoc and sensor networks, internet of Things (IoT), computer networks, and blockchain technology for emerging communication networks. She is CISCO, Oracle Academy certified, and teaches courses on networking and structured query language. Dr. Poongodi has published many book chapters and papers in international journals and conferences as well as ten books in the areas of IoT, data analytics, blockchain technology, artificial intelligence, machine learning, and healthcare informatics. She has received awards for her work and has received invitations to address international conferences as a keynote speaker. Balamurugan Balusamy, PhD,is Associate Dean-Student Engagement at the Shiv Nadar Institution of Eminence, Delhi, NCR, India. He is also an Adjunct Professor of Computer Science and Information Engineering at Taylor University, Malaysia. He formerly Professor at the School of Computing Sciences and Engineering and Director of International Relations at Galgotias University, India, and Associate Professor at VIT University, Vellore, India. He is included on Stanford University's list of Top 2% Scientists Worldwide 2023 in Data Science/AI/ML. He has over 200 papers published in high-impact journals as well as over 200 edited and authored books. He serves on the expert advisory panel for several start-ups and forums and does consultancy work for the industry on industrial IoT.
1. Smart Mobility and Intelligent Transportation Systems for Commercial and Hazardous Vehicles 2. Industrial IoT in Smart Manufacturing 3. Learning Using Neural Networks for Smart Mobility 4. Smart Mobility Using AI and Intelligent Agents 5. Blockchain for Efficient and Improved Strategy of Power Stations 6. Artificial Intelligence-Based Smart City 7. Optimized Machine Learning-Based Pedestrian Detection for Autonomous Vehicles 8. Smart Railway Cargo Management System Using Big Data 9. Transport in New Era Using Artificial Intelligence 10. Machine Learning and IoT for Urban Intelligence
| Erscheinungsdatum | 25.09.2024 |
|---|---|
| Zusatzinfo | 11 Tables, black and white; 12 Line drawings, color; 31 Line drawings, black and white; 4 Halftones, color; 3 Halftones, black and white; 16 Illustrations, color; 34 Illustrations, black and white |
| Verlagsort | Oakville |
| Sprache | englisch |
| Maße | 152 x 229 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Technik ► Bauwesen | |
| Technik ► Elektrotechnik / Energietechnik | |
| Technik ► Fahrzeugbau / Schiffbau | |
| Technik ► Umwelttechnik / Biotechnologie | |
| ISBN-10 | 1-77491-538-3 / 1774915383 |
| ISBN-13 | 978-1-77491-538-7 / 9781774915387 |
| Zustand | Neuware |
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