Fr. 205.00

AI for Emerging Verticals - Human-robot computing, sensing and networking

English · Hardback

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Description

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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.


List of contents











  • 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





    Summary

    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.

Product details

Assisted by Naeem Ramzan (Editor), Naeem (Full Professor Ramzan (Editor), Muhammad Zeeshan Shakir (Editor), Muhammad Zeeshan (Associate Professor Shakir (Editor)
Publisher Institution of Engineering and Technology
 
Languages English
Product format Hardback
Released 31.01.2021
 
EAN 9781785619823
ISBN 978-1-78561-982-3
No. of pages 386
Series Computing and Networks
Subject Natural sciences, medicine, IT, technology > IT, data processing > IT

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