High Performance Vision Intelligence: Recent Advances
This book focuses on the challenges and the recent findings in vision intelligence incorporating high performance computing applications. The contents provide in-depth discussions on a range of emerging multidisciplinary topics like computer vision, image processing, artificial intelligence, machine learning, cloud computing, IoT, and big data. The book also includes illustrations of algorithms, architecture, applications, software systems, and data analytics within the scope of the discussed topics. This book will help students, researchers, and technology professionals discover latest trends in the fields of computer vision and artificial intelligence. 
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High Performance Vision Intelligence: Recent Advances
This book focuses on the challenges and the recent findings in vision intelligence incorporating high performance computing applications. The contents provide in-depth discussions on a range of emerging multidisciplinary topics like computer vision, image processing, artificial intelligence, machine learning, cloud computing, IoT, and big data. The book also includes illustrations of algorithms, architecture, applications, software systems, and data analytics within the scope of the discussed topics. This book will help students, researchers, and technology professionals discover latest trends in the fields of computer vision and artificial intelligence. 
74.49 In Stock
High Performance Vision Intelligence: Recent Advances

High Performance Vision Intelligence: Recent Advances

High Performance Vision Intelligence: Recent Advances

High Performance Vision Intelligence: Recent Advances

eBook1st ed. 2020 (1st ed. 2020)

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Overview

This book focuses on the challenges and the recent findings in vision intelligence incorporating high performance computing applications. The contents provide in-depth discussions on a range of emerging multidisciplinary topics like computer vision, image processing, artificial intelligence, machine learning, cloud computing, IoT, and big data. The book also includes illustrations of algorithms, architecture, applications, software systems, and data analytics within the scope of the discussed topics. This book will help students, researchers, and technology professionals discover latest trends in the fields of computer vision and artificial intelligence. 

Product Details

ISBN-13: 9789811568442
Publisher: Springer-Verlag New York, LLC
Publication date: 09/26/2020
Series: Studies in Computational Intelligence , #913
Sold by: Barnes & Noble
Format: eBook
File size: 33 MB
Note: This product may take a few minutes to download.

About the Author

Dr. Aparajita Nanda is currently an assistant professor at the Department of Computer Science Engineering, Jaypee Institute of Information Technology, Noida, India. She obtained her Bachelors (IT) from Biju Pattnaik University, Odisha, Masters (CSE) from Sambalpur University Institute of Information Technology, and Ph.D. from the National Institute of Technology Rourkela, India. Her major research interests include computer vision, data mining, machine learning and visual surveillance in computer engineering applications. She has published several papers in respected international journals, and co-authored research articles in conferences, and book chapters. Dr. Nanda is a member of the ACM and IAENG. She has worked on a R&D project funded by SERB. 

Dr. Nisha Chaurasia is currently an assistant professor at the Department of Computer Science Engineering, Jaypee Institute of Information Technology, Noida, India. She obtained her Bachelors (IT) and Masters (CSE) from Madhav Institute of Technology and Science, Gwalior, and Ph.D. from ABV-IIITM Gwalior, India. Her research interests include data mining, cloud computing, high-performance computing and its applications. She has published several papers in respected international journals and conference proceedings, and also contributed book chapters. Dr. Chaurasia is a member of the ACM and IAENG. She has worked on a R&D project under UKIERI.

Table of Contents

Social Internet of Things: Opportunities and Challenges in Developing Countries.- Prevention of Phishing Attack in Cyber-Physical Internet-of-Things.- Blockchain for Secure Internet of Things.- Black Hole and Worm Hole Attack using DYMO and AODV Protocol: A Review.- Outlier Detection using Trust Assessment Scheme in Wireless Sensor Networks.
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