Ulteriori informazioni
This edited book explores novel concepts and cutting-edge research and developments towards designing fully automated advanced digital systems. Fostered by technological advances in artificial intelligence and machine learning, such systems potentially have a wide range of applications in robotics, human computing, sensing and networking.
Sommario
- Part I: Human-robot
- Chapter 1: Deep learning techniques for modelling human manipulation and its translation for autonomous robotic grasping with soft end-effectors
- Chapter 2: Artificial intelligence for affective computing: an emotion recognition case study
- Chapter 3: Machine learning-based affect detection within the context of human-horse interaction
- Chapter 4: Robot intelligence for real-world applications
- Chapter 5: Visual object tracking by quadrotor AR.Drone using artificial neural networks and fuzzy logic controller
- Part II: Network
- Chapter 6: Predictive mobility management in cellular networks
- Chapter 7: Artificial intelligence and data analytics in 5G and beyond-5G wireless networks
- Chapter 8: Deep Q-network-based coverage hole detection for future wireless networks
- Chapter 9: Artificial intelligence for localization of ultrawide bandwidth (UWB) sensor nodes
- Chapter 10: A Cascaded Machine Learning Approach for indoor classification and localization using adaptive feature selection
- Part III: Sensing
- Chapter 11: EEG-based biometrics: effects of template ageing
- Chapter 12: A machine-learning-driven solution to the problem of perceptual video quality metrics
- Chapter 13: Multitask learning for autonomous driving
- Chapter 14: Machine-learning-enabled ECG monitoring for early detection of hyperkalaemia
- Chapter 15: Combining deterministic compressed sensing and machine learning for data reduction in connected health
- Chapter 16: Large-scale distributed and scalable SOM-based architecture for high-dimensional data reduction
- Chapter 17: Surface water pollution monitoring using the Internet of Things (IoT) and machine learning
- Chapter 18: Conclusions
Riassunto
This edited book explores novel concepts and cutting-edge research and developments towards designing fully automated advanced digital systems. Fostered by technological advances in artificial intelligence and machine learning, such systems potentially have a wide range of applications in robotics, human computing, sensing and networking.
