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Intelligent Learning for Computer Vision

Proceedings of Congress on Intelligent Systems 2020

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Harish Sharma

    1. Department of Computer Science and Engineering, Rajasthan Technical University, Kota, India

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  2. Mukesh Saraswat

    1. Department of Computer Science & Engineering and Information Technology, Jaypee Institute of Information Technology, Noida, India

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  3. Sandeep Kumar

    1. Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India

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  4. Jagdish Chand Bansal

    1. Department of Mathematics, South Asian University, New Delhi, India

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  • Presents high-quality research papers in computer vision
  • Features the outcomes of CIS 2020
  • Serves as a reference resource for researchers and practitioners in academia and industry

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies (LNDECT, volume 61)

Included in the following conference series:

Conference proceedings info: CIS 2020.

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Table of contents (45 papers)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Development of Inter-ethnic Harmony Search Algorithm Based on Inter-ethnic Reconciliation

    • Hyun Woo Jung, Young Hwan Choi, Donghwi Jung, Joong Hoon Kim
    Pages 1-9

  3. A Low-Cost Embedded Computer Vision System for the Classification of Recyclable Objects

    • Karl Myers, Emanuele Lindo Secco
    Pages 11-30

  4. An Optimal Feature Selection Approach Using IBBO for Histopathological Image Classification

    • Mukesh Saraswat, Raju Pal, Roop Singh, Himanshu Mittal, Avinash Pandey, Jagdish Chand Bansal
    Pages 31-40

  5. Accuracy Evaluation of Plant Leaf Disease Detection and Classification Using GLCM and Multiclass SVM Classifier

    • K. Rajiv, N. Rajasekhar, K. Prasanna Lakshmi, D. Srinivasa Rao, P. Sabitha Reddy
    Pages 41-54

  6. A Deep Learning Technique for Automatic Teeth Recognition in Dental Panoramic X-Ray Images Using Modified Palmer Notation System

    • Fahad Parvez Mahdi, Syoji Kobashi
    Pages 55-65

  7. Detection of Parkinson’s Disease from Hand-Drawn Images Using Deep Transfer Learning

    • Akalpita Das, Himanish Shekhar Das, Arijeet Choudhury, Anupal Neog, Sourav Mazumdar
    Pages 67-84

  8. An Empirical Analysis of Hierarchical and Partition-Based Clustering Techniques in Optic Disc Segmentation

    • J. Prakash, B. Vinoth Kumar
    Pages 85-96

  9. Multi-class Support Vector Machine-Based Household Object Recognition System Using Features Supported by Point Cloud Library

    • Smita Gour, Pushpa B. Patil, Basavaraj S. Malapur
    Pages 97-108

  10. Initialization of MLP Parameters Using Deep Belief Networks for Cancer Classification

    • Barış Dinç, Yasin Kaya, Serdar Yıldırım
    Pages 109-118

  11. An Improved Inception Layer-Based Convolutional Neural Network for Identifying Rice Leaf Diseases

    • B. Baranidharan, C. N. S. Vinoth Kumar, M. Vasim Babu
    Pages 119-129

  12. Design and Implementation of Traffic Sign Classifier Using Machine Learning Model

    • Samarth Patel, Pankaj Agarwal, Vijander Singh, Linesh Raja
    Pages 131-141

  13. Designing Controller Parameter of Wind Turbine Emulator Using Artificial Bee Colony Algorithm

    • Ajay Sharma, Harish Sharma, Ashish Khandelwal, Nirmala Sharma
    Pages 143-151

  14. Text Document Orientation Detection Using Convolutional Neural Networks

    • Shivam Aggarwal, Safal Singh Gaur, Manju
    Pages 153-164

  15. A Deep Learning-Based Segregation of Housing Image Data for Real Estate Application

    • Annu Kumari, Vinod Maan, Dhiraj
    Pages 165-179

  16. Improved Image Super-resolution Using Enhanced Generative Adversarial Network a Comparative Study

    • B. V. Balaji Prabhu, Omkar Subburao Jois Narasipura
    Pages 181-193

  17. Comparative Study of Supervised Machine Learning Algorithms for Healthcare Dataset Using Orange

    • Vaibhav Bhatnagar, Ramesh C. Poonia
    Pages 195-208

  18. Maximum Power Point Tracking of Photovoltaic System Using Artificial Neural Network

    • Kusum Lata Agarwal, Shubham Sharma
    Pages 209-217

  19. IoT Security: A Survey of Issues, Attacks and Defences

    • Vinesh Kumar Jain, Jyoti Gajrani
    Pages 219-236

  20. Detecting the Nuclei in Different Pictures Using Region Convolutional Neural Networks

    • Naiswita Parmar
    Pages 237-246
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Other volumes

  1. Congress on Intelligent Systems

  2. Congress on Intelligent Systems

  3. Intelligent Learning for Computer Vision

Keywords

About this book

This book is a collection of selected papers presented at the First Congress on Intelligent Systems (CIS 2020), held in New Delhi, India, during September 5–6, 2020. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers selected papers in the area of computer vision. This book covers new tools and technologies in some of the important areas of medical science like histopathological image analysis, cancer taxonomy, use of deep learning architecture in dental care, and many more. Furthermore, this book reviews and discusses the use of intelligent learning-based algorithms for increasing the productivity in agricultural domain.

Editors and Affiliations

  • Department of Computer Science and Engineering, Rajasthan Technical University, Kota, India

    Harish Sharma

  • Department of Computer Science & Engineering and Information Technology, Jaypee Institute of Information Technology, Noida, India

    Mukesh Saraswat

  • Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India

    Sandeep Kumar

  • Department of Mathematics, South Asian University, New Delhi, India

    Jagdish Chand Bansal

About the editors

Harish Sharma is Associate Professor at Rajasthan Technical University, Kota, in the Department of Computer Science & Engineering. He has worked at Vardhaman Mahaveer Open University Kota and Government Engineering College Jhalawar. He received his B.Tech. and M.Tech. degree in Computer Engineering from Government of Engineering College, Kota, and Rajasthan Technical University, Kota, in 2003 and 2009, respectively. He obtained his Ph.D. from ABV-Indian Institute of Information Technology and Management, Gwalior, India. He is Secretary and one of the founder members of Soft Computing Research Society of India. He is a lifetime member of Cryptology Research Society of India, ISI, Kolkata. He is Associate Editor of “International Journal of Swarm Intelligence (IJSI)” published by Inderscience. He has also edited special issues of the many reputed journals like “Memetic Computing”, “Journal of Experimental and Theoretical Artificial Intelligence”, and “Evolutionary Intelligence”. Hisprimary area of interest is nature-inspired optimization techniques. He has contributed to more than 65 papers published in various international journals and conferences.
 
Dr. Mukesh Saraswat is Associate Professor at Jaypee Institute of Information Technology, Noida, India. Dr. Saraswat has obtained his Ph.D. in Computer Science & Engineering from ABV-IIITM Gwalior, India. He has more than 18 years of teaching and research experience. He has guided 02 Ph.D. students, more than 50 M.Tech. and B.Tech. dissertations, and presently guiding 05 Ph.D. students. He has published more than 40 journal and conference papers in the area of image processing, pattern recognition, data mining, and soft computing. He was the part of successfully completed DRDE funded project on image analysis and currently running two projects funded by SERB-DST (New Delhi) on Histopathological Image Analysis and Collaborative Research Scheme (CRS), under TEQIP III (RTU-ATU) on Smile. He has been an active member of many organizing committees of various conferences and workshops. He was also Guest Editor of the Journal of Swarm Intelligence. He is an active member of IEEE, ACM, and CSI Professional Bodies. His research areas include image processing, pattern recognition, mining, and soft computing.
 
Dr. Sandeep Kumar is currently Assistant Professor of Computer Science & Engineering at Amity University Rajasthan, Jaipur, India. Dr. Kumar holds a Ph.D. degree in Computer Science & Engineering, M.Tech. degree from RTU, Kota, and B.E. degree from Engineering College, Kota. Dr. Kumar was Assistant Professor of Computer Science & Engineering at ACEIT, Jaipur, 2008–2011, and Assistant Professor of Computer Science, Faculty of Engineering & Technology, Jagannath University, Jaipur, 2011–2017. Dr. Kumar was the head of computer science at Jagannath University, 2013–2017. He is also working as Guest Editor for many journals including International Journal of Intelligent Information and Database Systems (IJIIDS), International Journal of Agricultural Resources, Governance and Ecology (IJARGE), International Journal of Environment and Sustainable Development (IJESD), Inderscience, Recent Patents on Computer Science, and Bentham Science, member of editorial boards for many international journals, and member of technical program committees of many conferences. He has organized eight conferences as Conference Chair, Organizing Chair, and Technical Program Chair. Dr. Kumar has over fifty publications in well-known SCI/SCOPUS indexed international journals and conferences. He has authored/edited four books in the area of computer science and edited two conference proceedings. His research interests include nature-inspired algorithms, swarm intelligence, soft computing, and computational intelligence.
 
Dr. Jagdish Chand Bansal is Associate Professor at South Asian University New Delhi and Visiting Faculty at Maths and Computer Science, Liverpool Hope University UK. Dr. Bansal has obtained his Ph.D. in Mathematics from IIT Roorkee. Before joining SAU New Delhi, he has worked as Assistant Professor at ABV-Indian Institute of Information Technology and Management Gwalior and BITS Pilani. He is Series Editor of the book series Algorithms for Intelligent Systems (AIS) published by Springer. He is Editor-in-Chief of International Journal of Swarm Intelligence (IJSI) published by Inderscience. He is also Associate Editor of IEEE ACESSS published by IEEE. He is the steering committee member and General Chair of the annual conference series SocProS. He is General Secretary of Soft Computing Research Society (SCRS). His primary area of interest is swarm intelligence and nature-inspired optimization techniques. Recently, he proposed a fission–fusion social structure-based optimization algorithm, Spider Monkey Optimization (SMO), which is being applied to various problems from engineering domain. He has published more than 70 research papers in various international journals/conferences. He has supervised Ph.D. theses from ABV-IIITM Gwalior and SAU New Delhi. He has also received Gold Medal at UG and PG levels.


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