Title AI for emerging verticals : human-robot computing, sensing and networking / edited by Muhammad Zeeshan Shakir and Naeem Ramzan

Published London, England : Institution of Engineering and Technology, 2020 ©2021

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Description 1 online resource (385 pages) Series IET computing series ; 34 IET computing series ; 34 Contents Deep learning techniques for modelling human manipulation and its translation for autonomous robotic grasping with soft end-effectors / Visar Arapi, Yujie Zhang, Giuseppe Averta, Cosimo Della Santina, and Matteo Bianchi -- Artificial intelligence for affective computing : an emtion recognition case study / Pablo Arnau-González, Stamos Katsigiannis, Miguel Arevalillo-Herráez, and Naeem Ramzan -- Macine learning-based affect detection within the context of human-horse interaction / Turke Althobaiti, Stamos Katsigiannis, Daune West, Hassan Rabah, and Naeem Ramzan -- Robot intelligence for real-world applications / Elefterios Triantafyllidis, Chuanyu Yang, Christopher McGreavy, Wenbin Hu, and Zhibin Li -- Visual object tracking by quadrotor AR.Drone using artificial neural networks and fuzzy logic controller / Kamel Boudjit, Cherif Larbes and Naeem Ramzan -- Predictive mobility management in cellular networks / Metin Öztürk, Paulo Valente Klaine, Sajjad Hussain, and Muhammad Ali Imran -- Artificial intelligence and data analytics in 5G and beyond-5G wireless networks / Maziar Nekovee, Dehao Wu, Yue Wang and Mehrdad Shariat -- Deep Q-network-based coverage hole detection for future wireless networks / Shahriar Abdullah Al-Ahmed, Muhammad Zeeshan Shakir, and Qasim Zeeshan Ahmed -- Artificial intelligence for localization of ultrawide bandwidth (UWB) sensor nodes / Fuhu Che, Abbas Ahmed, Qasim Zeeshan Ahmed, and Muhammad Zeeshan Shakir -- A cascaded machine learning approach for indoor classification and localization using adaptive feature selection / Mohamed I. AlHajri, Nazar T. Ali and Raed M. Shubair -- EEG-based biometrics : effects of template ageing / Pablo Arnau-González, Stamos Katsigiannis, Miguel Arevalillo-Herráez and Naeem Ramzan -- A machine-learning-driven solution to the problem of perceptual video quality metrics / Stamos Katsigiannis, Hassan Rabah, and Naeem Ramzan -- Multitask learning for autonomous driving / Murtaza Taj and Waseem Abbas -- Machine-learning-enabled ECG monitoring for early detection of hyperkalaemia / Constance Farrell and Muhammad Zeeshan Shakir -- Combining deterministic compressed sensing and machine learning for data reduction in connected health / Hassan Rabah, Slavisa Jovanovic and Naeem Ramzan -- Large-scale distributed and scalable SOM-based architecture for high-dimensional data reduction / Slavisa Jovanovic, Hassan Rabah, and Serge Weber -- Surface water pollution monitoring using the Internet of Things (IoT) and machine learning / Hamza Khurshid, Rafia Mumtaz, Noor Alvi, Faisal Shafait, Sheraz Ahmed, Muhammad Imran Malik, Andreas Dengel, and Quanita Kiran 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 Bibliography Includes bibliographical references and index (pages 355-364) Subject Cell phone systems. Clinical medicine -- Computer programs. Detectors. Cell phone systems Clinical medicine -- Computer programs Detectors 5G mobile communication. affective computing. cellular radio. learning (artificial intelligence) medical computing. robots. sensors. Form Electronic book Author Shakir, Muhammad Zeeshan, editor Ramzan, Naeem, editor ISBN 9781785619830 1785619837 9781523135165 1523135166

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