Details

Smart and Sustainable Intelligent Systems


Smart and Sustainable Intelligent Systems


Sustainable Computing and Optimization 1. Aufl.

von: Namita Gupta, Prasenjit Chatterjee, Tanupriya Choudhury

217,99 €

Verlag: Wiley
Format: PDF
Veröffentl.: 08.03.2021
ISBN/EAN: 9781119752127
Sprache: englisch
Anzahl Seiten: 576

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Beschreibungen

<p>The world is experiencing an unprecedented period of change and growth through all the electronic and technilogical developments and everyone on the planet has been impacted.  What was once ‘science fiction’, today it is a reality.</p> <p>This book explores the world of many of once unthinkable advancements by explaining current technologies in great detail.  Each chapter focuses on a different aspect - Machine Vision, Pattern Analysis and Image Processing - Advanced Trends in Computational Intelligence and Data Analytics - Futuristic Communication Technologies - Disruptive Technologies for Future Sustainability. The chapters include the list of topics that spans all the areas of smart intelligent systems and computing such as: Data Mining with Soft Computing, Evolutionary Computing, Quantum Computing, Expert Systems, Next Generation Communication, Blockchain and Trust Management, Intelligent Biometrics, Multi-Valued Logical Systems, Cloud Computing and security etc.  An extensive list of bibliographic references at the end of each chapter guides the reader to probe further into application area of interest to him/her.</p>
<p><b>Namita Gupta</b> is the Head of Computer Science and Engineering Department at Maharaja Agrasen Institute of Technology, GGSIP University, Delhi, India. She has more than 20 years of teaching experience and has played active role in research and project development. Her current areas of interest and research includes data mining, databases and machine learning.</p><p><b>Prasenjit Chatterjee</b> is an associate professor in the Mechanical Engineering Department at MCKV Institute of Engineering, India. He has more than 80 research papers in various international SCI journals. Dr. Chatterjee is one of the developers of a new multiple-criteria decision-making method called Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS).</p><p><b>Tanupriya Choudhury</b> received his PhD degree in the year 2016 and is an associate professor in Dept. of Computer Science and Engineering at UPES Dehradun, India. His areas of interests include human computing, soft computing, cloud computing, and data mining. He has filed 14 patents till date and received 16 copyrights from MHRD for his own software. He has authored more than 85 research papers.</p>
<p><b>Provides a comprehensive description of the state-of-the-art research and development in the fields of smart intelligent computing systems and its applications in a range of applications by focusing on various innovation paradigms in system knowledge, intelligence and sustainability that may be applied to provide realistic solutions to varied problems in society, environment and industries.</b></p><p>The world is experiencing an unprecedented period of change and growth through all the electronic and technological developments and everyone on the planet is being impacted. What was once ‘science fiction’, today it is a reality.</p><p>This book explores the world of many of once unthinkable advancements by explaining current technologies in great detail. Each chapter focuses on a different aspect - Machine Vision, Pattern Analysis and Image Processing - Advanced Trends in Computational Intelligence and Data Analytics - Futuristic Communication Technologies - Disruptive Technologies for Future Sustainability. The chapters include the list of topics that spans all the areas of smart intelligent systems and computing such as: Data Mining with Soft Computing, Evolutionary Computing, Quantum Computing, Expert Systems, Next Generation Communication, Blockchain and Trust Management, Intelligent Biometrics, Multi-Valued Logical Systems, Cloud Computing and security etc. An extensive list of bibliographic references at the end of each chapter guides the reader to probe further into the application area of the reader’s interest.</p><p><b>Audience</b></p><p>The book will be read and used by researchers, academicians and industry professionals who work in computer science and engineering, information technology, artificial intelligence, business intelligence, healthcare, machine learning, image processing, medical informatics, automation, big data representation and bioinformatics domains. It will also be valuable to manufacturing technology companies which will be able to use, apply and implement the models presented in this book.</p>

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