Big Data Analytics for Cyber-Physical Systems
Machine Learning for the Internet of Things
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45 622 Ft
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Product details:
- Publisher Elsevier Science
- Date of Publication 16 July 2019
- ISBN 9780128166376
- Binding Paperback
- No. of pages396 pages
- Size 228x152 mm
- Weight 660 g
- Language English 0
Categories
Long description:
Approx.374 pages
MoreTable of Contents:
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
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