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Machine Intelligence, Big Data Analytics, and IoT in Image Processing
Practical Applications
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Summary
The book offers a cross-disciplinary viewpoint featuring global research on artificial intelligence, machine learning, IoT, image processing, network security, cloud computing, and sensors. Its diverse chapters cover the application of these technologies in numerous areas, illuminating their transformative impact on healthcare, agriculture, smart urban and rural design, and more.
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Machine Intelligence, Big Data Analytics, and IoT in Image Processing
$42999
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?
This volume will appeal to researchers and scientists working in artificial intelligence and its practical applications, including machine learning, big data analytics, natural language processing, pattern recognition, and IoT image analysis. It is also useful for software developers, industry professionals, and policymakers engaged in medicine, agriculture, smart city development, and transportation sectors.
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Book Hero Magic formatted this description to make it easier to read. While it's new and
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Description
Machine Intelligence, Big Data Analytics, and IoT in Image Processing discusses both theoretical and practical aspects of how to harness advanced technologies to develop practical applications such as drone-based surveillance, smart transportation, healthcare, farming solutions, and robotics used in automation.
The concepts of machine intelligence, big data analytics, and the Internet of Things (IoT) continue to improve our lives through various cutting-edge applications such as disease detection in real-time, crop yield prediction, smart parking, and so forth. The transformative effects of these technologies are life-changing because they play an important role in demystifying smart healthcare, plant pathology, and smart city/village planning, design, and development.
This book presents a cross-disciplinary perspective on the practical applications of machine intelligence, big data analytics, and IoT by compiling cutting-edge research and insights from researchers, academicians, and practitioners worldwide. It identifies and discusses various advanced technologies, such as artificial intelligence, machine learning, IoT, image processing, network security, cloud computing, and sensors, to provide effective solutions to the lifestyle challenges faced by humankind.
Machine Intelligence, Big Data Analytics, and IoT in Image Processing is a significant addition to the body of knowledge on practical applications emerging from machine intelligence, big data analytics, and IoT. The chapters deal with specific areas of applications of these technologies. This deliberate choice of covering a diversity of fields was to emphasize the applications of these technologies in almost every contemporary aspect of real life. It assists those working in different sectors by understanding and exploiting the strategic opportunities offered by these technologies.
Audience
The book will be of interest to a range of researchers and scientists in artificial intelligence who work on practical applications using machine learning, big data analytics, natural language processing, pattern recognition, and IoT by analyzing images. Software developers, industry specialists, and policymakers in medicine, agriculture, smart cities development, transportation, etc., will find this book exceedingly useful.
Book Details
INFORMATION
ISBN: 9781119865049
Publisher: John Wiley & Sons Inc
Format: Hardback
Date Published: 28 February 2023
Country: United States
Imprint: Wiley-Scrivener
Contributors:
- Edited by Lalit Garg
- Edited by Ashok Kumar
- Edited by Megha Bhushan
- Edited by Jose A. Galindo
- Edited by Yu-Chen Hu
- Edited by Yu-Chen Hu
Audience: Professional and scholarly
DIMENSIONS
Weight: 907g
Pages: 512
About the Author
Ashok Kumar, PhD, is an assistant professor at Lovely Professional University, Phagwara, Punjab, India. He has 15+ years of teaching and research experience, filed 3 patents, and published many articles in international journals and conferences. His current areas of research interest include cloud computing, the Internet of Things, and mist computing.
Megha Bhushan, PhD, is an assistant professor at the School of Computing, DIT University, Dehradun, Uttarakhand, India. She has filed 4 patents and published many research articles in international journals and conferences. Her research interest includes software quality, software reuse, ontologies, artificial intelligence, and expert systems.
Jose Galindo, PhD, is currently in the Department of Computer Languages and Systems, University of Seville, Spain. He has developed many tools such as FaMa, FaMaDEB, FaMaOVM, TESALIA, and VIVID, and his research interests include recommender systems, software visualization, variability-intensive systems, and software product lines.
Lalit Garg, PhD, is a Senior Lecturer in the Department of Computer Information Systems, University of Malta, and an honorary lecturer at the University of Liverpool, UK. He has edited four books and published over 110 papers in refereed journals, conferences, and books. He has 12 patents and delivered more than twenty keynote speeches in different countries, and organized/chaired/co-chaired many international conferences.
Yu-Chen Hu, PhD, is a distinguished professor in the Department of Computer Science and Information Management, Providence University, Taichung City, Taiwan. His research interests include image and signal processing, data compression, information hiding, information security, computer network, and artificial network.
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