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AI for Emerging Verticals : Human-robot computing, sensing and networking / Muhammad Zeeshan Shakir; Naeem Ramzan [Eds].
- Format:
- Book
- Series:
- Computing.
- Computing
- Language:
- English
- Subjects (All):
- Cell phone systems.
- Clinical medicine--Computer programs.
- Clinical medicine.
- Detectors.
- Machine learning.
- Medicine--Data processing.
- Medicine.
- Robots.
- Physical Description:
- 1 online resource (386 pages).
- Place of Publication:
- Stevenage : IET, 2020.
- System Details:
- text file
- 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.
- ISBN:
- 9781785619830
- Access Restriction:
- Restricted for use by site license.
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