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High Performance Vision Intelligence

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  • © 2020

Overview

Editors:
  1. Aparajita Nanda

    1. Jaypee Institute of Information Technology, Noida, India

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    You can also search for this editor in PubMed   Google Scholar

  2. Nisha Chaurasia

    1. Jaypee Institute of Information Technology, Noida, India

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    You can also search for this editor in PubMed   Google Scholar

  • Presents emerging research in vision intelligence including applications of high-performance computing
  • Covers all aspects of image analysis from early vision (low-level) to recognition and interpretation (high-level)
  • Includes charts and illustrations to demonstrate different algorithms and architecture

Part of the book series: Studies in Computational Intelligence (SCI, volume 913)

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Table of contents (16 chapters)

  1. Front Matter

    Pages i-xviii
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  2. Social Internet of Things: Opportunities and Challenges in Developing Countries

    • Kusum Lata Jain, Smaranika Mohapatra
    Pages 1-13

  3. Prevention of Phishing Attack in Internet-of-Things based Cyber-Physical Human System

    • Alekha Kumar Mishra, Asis Kumar Tripathy, Sowmya Saraswathi, Meenakshi Das
    Pages 15-32

  4. Blockchain for Secure Internet of Things

    • Shivani Sharma, Rashmi Chaudhry, Dinesh Bhardwaj
    Pages 33-54

  5. Black-Hole and Wormhole Attack Using DYMO and AODV Protocol: A Review

    • N. Chaurasia, P. Dimri, K. K. Gupta
    Pages 55-69

  6. Outlier Detection Using Trust Assessment Scheme in Wireless Sensor Networks

    • Charu Goyal, Vaibhav Aren, Sarishty Gupta
    Pages 71-81

  7. An Assessment Model to Establish the Use of Services Resources in a Cloud Computing Scenario

    • L. Davila Nicanor, H. R. Orozco Aguirre, V. M. Landassuri Moreno
    Pages 83-100

  8. Video Synopsis: A Systematic Review

    • Ansuman Mahapatra, Pankaj K. Sa
    Pages 101-115

  9. 360\(^\circ \) User-Generated Videos: Current Research and Future Trends

    • S. Priyadharshini, Ansuman Mahapatra
    Pages 117-135

  10. A Study of Scrambled Noisy Quantum Image Formation with Geometric Transformation and Its Denoising Using QWT

    • S. Chakraborty, S. H. Shaikh, A. Chakrabarti, R. Ghosh
    Pages 137-150

  11. Semantic Image Completion and Enhancement Using GANs

    • Priyansh Saxena, Raahat Gupta, Akshat Maheshwari, Saumil Maheshwari
    Pages 151-170

  12. A Fusion of Visible and Infrared Images for Victim Detection

    • Madhuri Gupta
    Pages 171-183

  13. A Novel Approach to Classify Breast Cancer Tumors Using Deep Learning Approach and Resulting Most Accurate Magnification Factor

    • Mukta Sharma, Rahul Verma, Ambuj Mishra, Mahua Bhattacharya
    Pages 185-201

  14. Chatterbot: Technologies, Tools and Applications

    • Gajendra Kumar Ahirwar
    Pages 203-213

  15. Route Planning Using Nature-Inspired Algorithms

    • Priyansh Saxena, Raahat Gupta, Akshat Maheshwari
    Pages 215-231

  16. Statistical Time Series Models for Wind Speed Forecasting

    • Anil Kumar Kushwah, Rajesh Wadhvani, Varsha Kushwah
    Pages 233-243

  17. Smart HealthCare Model: An End-to-end Framework for Disease Prediction and Recommendation of Drugs and Hospitals

    • Megha Rathi, Nimit Jain, Priya Bist, Tarushi Agrawal
    Pages 245-264
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Keywords

About this book

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. 

Editors and Affiliations

  • Jaypee Institute of Information Technology, Noida, India

    Aparajita Nanda, Nisha Chaurasia

About the editors

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.

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