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.

Part I: Human-robotChapter 1: Deep learning techniques for modelling human manipulation and its translation for autonomous robotic grasping with soft end-effectorsChapter 2: Artificial intelligence for affective computing: an emotion recognition case studyChapter 3: Machine learning-based affect detection within the context of human-horse interactionChapter 4: Robot intelligence for real-world applicationsChapter 5: Visual object tracking by quadrotor AR.Drone using artificial neural networks and fuzzy logic controller Part II: NetworkChapter 6: Predictive mobility management in cellular networksChapter 7: Artificial intelligence and data analytics in 5G and beyond-5G wireless networksChapter 8: Deep Q-network-based coverage hole detection for future wireless networksChapter 9: Artificial intelligence for localization of ultrawide bandwidth (UWB) sensor nodesChapter 10: A Cascaded Machine Learning Approach for indoor classification and localization using adaptive feature selection Part III: SensingChapter 11: EEG-based biometrics: effects of template ageingChapter 12: A machine-learning-driven solution to the problem of perceptual video quality metricsChapter 13: Multitask learning for autonomous drivingChapter 14: Machine-learning-enabled ECG monitoring for early detection of hyperkalaemiaChapter 15: Combining deterministic compressed sensing and machine learning for data reduction in connected healthChapter 16: Large-scale distributed and scalable SOM-based architecture for high-dimensional data reductionChapter 17: Surface water pollution monitoring using the Internet of Things (IoT) and machine learningChapter 18: Conclusions