Approx.374 pages
1. Data analytics and processing platforms in CPS2. Fundamentals of data analysis and statistics3. Density-based clustering techniques for object detection and peak segmentation in expanding data fields4. Security for a regional network platform in IoT5. Inference techniques for ultrasonic parking lot occupancy sensing based on smart city infrastructure6. Portable implementations for heterogeneous hardware platforms in autonomous driving systems7. AI-based sensor platforms for the IoT in smart cities8. Predicting energy consumption using machine learning9. Reinforcement learning and deep neural network for autonomous driving10. On the use of evolutionary algorithms for localization and mapping: Infrastructure monitoring in smart cities via miniaturized autonomous11. Machine learning-based artificial nose on a low-cost IoT-hardware12. Machine Learning in future intensive care—Classification of stochastic Petri Nets via continuous-time Markov chains13. Privacy issues in smart cities: Insights into citizens’ perspectives toward safe mobility in urban environments14. Utility privacy trade-off in communication systems15. IoT-workshop: Blueprint for pupils education in IoT16. IoT-workshop: Application examples for adult education
Les mer
Surveys novel use cases of data analytics methods for cyber-physical systems and Internet of Things (IoT) applications in smart cities
Approx.374 pages

Produktdetaljer

ISBN
9780128166376
Publisert
2019-07-16
Utgiver
Elsevier Science Publishing Co Inc
Vekt
660 gr
Høyde
229 mm
Bredde
152 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
396

Biografisk notat

Prof. Dr.-Ing. Guido Dartmann is a professor and research group leader at Trier University of Applied Sciences, Germany. Dr. Dartmann also serves as a co-lead of the German IoT expert group of national Digital Summit. His research interests include distributed systems, data analytics, signal processing, optimization of technical systems, cyber-physical systems, wireless communication, cyber-security, internet of things, and traffic and mobility. Houbing Song, Security and Optimization for Networked Globe Laboratory, University of Maryland, Baltimore County (UMBC), Baltimore, USA. His research interests include cyber-physical systems, cybersecurity and privacy, IoT, big data analytics, connected vehicles, smart health, wireless communications, and networking. Dr. Song has edited and authored several books in the field, including Cyber-Physical Systems: Foundations, Principles and Applications. Prof. Dr.-Ing. Anke Schmeink, is a professor leading the ISEK research and teaching area at RWTH Aachen University, Germany. Her research interests include information theory and network optimization.