Smart Computing and Self Adaptive Systems Book [PDF] Download

Download the fantastic book titled Smart Computing and Self Adaptive Systems written by Simar Preet Singh, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Smart Computing and Self Adaptive Systems", which was released on 19 December 2021. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Smart Computing and Self Adaptive Systems by Simar Preet Singh PDF

The book intends to cover various problematic aspects of emerging smart computing and self-adapting technologies comprising of machine learning, artificial intelligence, deep learning, robotics, cloud computing, fog computing, data mining algorithms, including emerging intelligent and smart applications related to these research areas. Further coverage includes implementation of self-adaptation architecture for smart devices, self-adaptive models for smart cities and self-driven cars, decentralized self-adaptive computing at the edge networks, energy-aware AI-based systems, M2M networks, sensors, data analytics, algorithms and tools for engineering self-adaptive systems, and so forth. Acts as guide to Self-healing and Self-adaptation based fully automatic future technologies Discusses about Smart Computational abilities and self-adaptive systems Illustrates tools and techniques for data management and explains the need to apply, and data integration for improving efficiency of big data Exclusive chapter on the future of self-stabilizing and self-adaptive systems of systems Covers fields such as automation, robotics, medical sciences, biomedical and agricultural sciences, healthcare and so forth This book is aimed researchers and graduate students in machine learning, information technology, and artificial intelligence.


Detail About Smart Computing and Self Adaptive Systems PDF

  • Author : Simar Preet Singh
  • Publisher : CRC Press
  • Genre : Computers
  • Total Pages : 289 pages
  • ISBN : 100050994X
  • PDF File Size : 21,9 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Smart Computing and Self-Adaptive Systems

Smart Computing and Self-Adaptive Systems
  • Publisher : CRC Press
  • File Size : 42,7 Mb
  • Release Date : 19 December 2021
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The book intends to cover various problematic aspects of emerging smart computing and self-adapting technologies comprising of machine learning, artificial intelligence, deep learning, robotics, cloud computing, fog computing, data mining

An Introduction to Self-adaptive Systems

An Introduction to Self-adaptive Systems
  • Publisher : John Wiley & Sons
  • File Size : 47,7 Mb
  • Release Date : 07 October 2020
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A concise and practical introduction to the foundations and engineering principles of self-adaptation Though it has recently gained significant momentum, the topic of self-adaptation remains largely under-addressed in academic and

Self-Adaptive Systems for Machine Intelligence

Self-Adaptive Systems for Machine Intelligence
  • Publisher : John Wiley & Sons
  • File Size : 28,6 Mb
  • Release Date : 15 September 2011
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This book will advance the understanding and application of self-adaptive intelligent systems; therefore it will potentially benefit the long-term goal of replicating certain levels of brain-like intelligence in complex and

Software Engineering for Self-Adaptive Systems

Software Engineering for Self-Adaptive Systems
  • Publisher : Springer Science & Business Media
  • File Size : 20,8 Mb
  • Release Date : 19 June 2009
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The carefully reviewed papers in this state-of-the-art survey describe a wide range of approaches coming from different strands of software engineering, and look forward to future challenges facing this ever-resurgent

Software Engineering for Self-Adaptive Systems III. Assurances

Software Engineering for Self-Adaptive Systems III. Assurances
  • Publisher : Springer
  • File Size : 35,9 Mb
  • Release Date : 16 January 2018
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A major challenge for modern software systems is to become more cost-effective, while being versatile, flexible, resilient, energy-efficient, customizable, and configurable when reacting to run-time changes that may occur within

Self-Aware Computing Systems

Self-Aware Computing Systems
  • Publisher : Springer
  • File Size : 32,7 Mb
  • Release Date : 23 January 2017
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This book provides formal and informal definitions and taxonomies for self-aware computing systems, and explains how self-aware computing relates to many existing subfields of computer science, especially software engineering. It

Software Engineering for Self-Adaptive Systems

Software Engineering for Self-Adaptive Systems
  • Publisher : Springer
  • File Size : 51,7 Mb
  • Release Date : 03 January 2013
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Although the self-adaptability of systems has been studied in a wide range of disciplines, from biology to robotics, only recently has the software engineering community recognized its key role in

Do Smart Adaptive Systems Exist?

Do Smart Adaptive Systems Exist?
  • Publisher : Springer
  • File Size : 49,8 Mb
  • Release Date : 11 July 2006
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Do Smart Adaptive Systems Exist? is intended as a reference and a guide summarising and focusing on best practices when using intelligent techniques and building systems requiring a degree of

Engineering Adaptive Software Systems

Engineering Adaptive Software Systems
  • Publisher : Springer
  • File Size : 33,9 Mb
  • Release Date : 14 January 2019
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This book discusses the problems and challenges in the interdisciplinary research field of self-adaptive software systems. Modern society is increasingly filled with software-intensive systems, which are required to operate in

Organic Computing – Technical Systems for Survival in the Real World

Organic Computing – Technical Systems for Survival in the Real World
  • Publisher : Birkhäuser
  • File Size : 31,9 Mb
  • Release Date : 28 December 2017
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This book is a comprehensive introduction into Organic Computing (OC), presenting systematically the current state-of-the-art in OC. It starts with motivating examples of self-organising, self-adaptive and emergent systems, derives their