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

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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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Bibliographic Details
Other Authors: Shakir, Muhammad Zeeshan (ed.), Ramzan, Naeem (ed.)
Format: eBook
Language:English
Published: Stevenage : IET, 2020.
Series:Computing.
Subjects:
Cell phone systems.
Clinical medicine > Computer programs.
Detectors.
Machine learning.
Medicine > Data processing.
Robots.
5G mobile communication.
affective computing.
cellular radio.
learning (artificial intelligence).
medical computing.
robots.
sensors.
cascaded machine learning
indoor classification
indoor localization
adaptive feature selection
EEG-based biometrics
template ageing
perceptual video quality metrics
multitask learning
autonomous driving
ECG monitoring
early hyperkalaemia detection
deterministic compressed sensing
data reduction
connected health
large-scale distributed SOM-based architecture
large-scale scalable SOM-based architecture
surface water pollution monitoring
Internet of Things
ultrawide bandwidth sensor node localization
deep Q-network-based coverage hole detection
5G wireless networks
beyond-5G wireless networks
data analytics
cellular networks
predictive mobility management
fuzzy logic controller
artificial neural networks
quadrotor
visual object tracking
robot intelligence
human-horse interaction
affect detection
emotion recognition
affective computing
artificial intelligence
soft end-effectors
autonomous robotic grasping
human manipulation modelling
deep learning
human-robot networking
human-robot sensing
human-robot computing
Electronic books.
Online Access:Connect to the full text of this electronic book
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