AI for emerging verticals : human-robot computing, sensing and networking
The book comprises 17 chapters dealing with the following subjects: human-robot computing, sensing and networking; deep learning techniques; human manipulation modelling; autonomous robotic grasping; soft end-effectors; artificial intelligence; affective computing; emotion recognition; machine learn...
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Other Authors: | , |
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Format: | eBook |
Language: | English |
Published: |
London, England :
Institution of Engineering and Technology,
2020.
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Series: | IET computing series ;
34 |
Subjects: | |
ISBN: | 9781785619830 1785619837 9781523135165 1523135166 9781785619823 1785619829 |
Physical Description: | 1 online resource (385 pages) |
Summary: | The book comprises 17 chapters dealing with the following subjects: human-robot computing, sensing and networking; deep learning techniques; human manipulation modelling; autonomous robotic grasping; soft end-effectors; artificial intelligence; affective computing; emotion recognition; machine learning-based affect detection; human-horse interaction; robot intelligence; visual object tracking by quadrotor; artificial neural networks; fuzzy logic controller; predictive mobility management in cellular networks; data analytics; 5G and beyond-5G wireless networks; deep Q-network-based coverage hole detection; localization of ultrawide bandwidth sensor nodes; cascaded machine learning; indoor classification and localization; adaptive feature selection; EEG-based biometrics; template ageing; perceptual video quality metrics; multitask learning for autonomous driving; machine-learning-enabled ECG monitoring; early hyperkalaemia detection; deterministic compressed sensing; data reduction; connected health; large-scale distributed and scalable SOM-based architecture; surface water pollution monitoring; and Internet of Things |
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Bibliography: | Includes bibliographical references and index (pages 355-364) |
ISBN: | 9781785619830 1785619837 9781523135165 1523135166 9781785619823 1785619829 |
Access: | Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty |