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The Cognitive Approach in Cloud Computing and Internet of Things Technologies for Surveillance Tracking Systems

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Paperback, blz. | Engels
Elsevier Science | e druk, 2020
ISBN13: 9780128163856
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Elsevier Science e druk, 2020 9780128163856
Onderdeel van serie Intelligent Data-Centric Systems
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

The Cognitive Approach in Cloud Computing and Internet of Things Technologies for Surveillance Tracking Systems discusses the recent, rapid development of Internet of things (IoT) and its focus on research in smart cities, especially on surveillance tracking systems in which computing devices are widely distributed and huge amounts of dynamic real-time data are collected and processed. Efficient surveillance tracking systems in the Big Data era require the capability of quickly abstracting useful information from the increasing amounts of data. Real-time information fusion is imperative and part of the challenge to mission critical surveillance tasks for various applications.

This book presents all of these concepts, with a goal of creating automated IT systems that are capable of resolving problems without demanding human aid.

Specificaties

ISBN13:9780128163856
Taal:Engels
Bindwijze:Paperback

Inhoudsopgave

SECTION I: Cognitive Computing Theory, Architectures and Approaches<br>SECTION II: Cognitive Computing and Artificial Intelligence<br>SECTION III: Complex Analytics and Machine Learning for Cognitive Computing<br>SECTION IV: Design of a Symbiotic Agent for Recognizing Real Space in Ubiquitous Environments<br>SECTION V: Intelligent Adaptation and the Nature of Software Changes<br>SECTION VI: The Reactive-Causal Cognitive Agent Architecture<br>SECTION VII: Cognitive Computing for Internet of Things<br>SECTION VIII: Google’s DeepMind and Other AI Programs<br>SECTION IX: Cognitive Computing Applications in Surveillance Tracking Systems<br>SECTION X: Cognitive Computing in Big Data Applications

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        The Cognitive Approach in Cloud Computing and Internet of Things Technologies for Surveillance Tracking Systems