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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Shakir, Muhammad Zeeshan (Editor ), Ramzan, Naeem (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London, England : Institution of Engineering and Technology, 2020.
Colección:IET computing series ; 34
Temas:
Cell phone systems.
Clinical medicine > Computer programs.
Detectors.
Téléphonie cellulaire.
Cell phone systems
Clinical medicine > Computer programs
Detectors
5G mobile communication.
affective computing.
cellular radio.
learning (artificial intelligence)
medical computing.
robots.
sensors.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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

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