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The cognitive approach in cloud computing and internet of things technologies for surveillance tracking systems / Dinesh Peter, Amir H. Alavi H. Alavi, Bahman Javadi, Steven L. Fernandes L. Fernandes.

By: Contributor(s): Material type: TextTextPublisher: Waltham : Elsevier, 2020Edition: 1Description: xiii, 187 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780128163856
Subject(s): DDC classification:
  • 23 621.3892800285 PET-T 2020 790307
Summary: "Examines the current state of surveillance tracking systems, cognitive cloud architecture for resolving critical issues in surveillance tracking systems, and research opportunities in cognitive computing for surveillance tracking systems Discusses topics including cognitive computing architectures and approaches, cognitive computing and neural networks, complex analytics and machine learning, design of a symbiotic agent for recognizing real space in ubiquitous environments, and more Covers supervised regression and classification methods, clustering and dimensionality reduction methods, model development for machine learning applications, intelligent machines and deep learning networks includes coverage of cognitive computing models for scalable environments, privacy and security aspects of surveillance tracking systems, strategies and experiences in cloud architecture and service platform design"-- Provided by publisher.
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode Item holds
Reference Reference Faculty of CS & IT Library Book Cart Book 621.3892800285 PET-T 2020 790307 (Browse shelf(Opens below)) 1 Not For Loan (Restricted Access) 790307
Reference Reference Faculty of CS & IT Library Book Cart Book 621.3892800285 PET-T 2020 790308 (Browse shelf(Opens below)) 2 Not for loan 790308
Reference Reference Faculty of CS & IT Library Book Cart Book 621.3892800285 PET-T 2020 790309 (Browse shelf(Opens below)) 3 Not for loan 790309
Total holds: 0

"Examines the current state of surveillance tracking systems, cognitive cloud architecture for resolving critical issues in surveillance tracking systems, and research opportunities in cognitive computing for surveillance tracking systems Discusses topics including cognitive computing architectures and approaches, cognitive computing and neural networks, complex analytics and machine learning, design of a symbiotic agent for recognizing real space in ubiquitous environments, and more Covers supervised regression and classification methods, clustering and dimensionality reduction methods, model development for machine learning applications, intelligent machines and deep learning networks includes coverage of cognitive computing models for scalable environments, privacy and security aspects of surveillance tracking systems, strategies and experiences in cloud architecture and service platform design"-- Provided by publisher.

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