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Computer Vision and Robotics

Proceedings of CVR 2022

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Praveen Kumar Shukla

    1. Department of Computer Science and Engineering, Babu Banarasi Das University, Lucknow, India

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  2. Krishna Pratap Singh

    1. Department of Information Technology, Indian Institute of Information Technology, Allahabad, Prayagraj, India

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  3. Ashish Kumar Tripathi

    1. Department of Computer Science & Engineering, Malviya National Institute of Technology (MNIT), Jaipur, India

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  4. Andries Engelbrecht

    1. Department of Industrial Engineering and Computer Science Division, University of Stellenbosch, Matieland, South Africa

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  • Presents recent research in computer vision and robotics
  • Discusses the outcomes of CVR 2022, held in Lucknow, India, during May 2022
  • Serves as a reference guide for researchers and practitioners in academia and industry

Part of the book series: Algorithms for Intelligent Systems (AIS)

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Table of contents (44 papers)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Story Telling: Learning to Visualize Sentences Through Generated Scenes

    • S. Yashaswini, S. S. Shylaja
    Pages 1-14

  3. A Novel Processing of Scalable Web Log Data Using Map Reduce Framework

    • Yeturu Jahnavi, Y. Pavan Kumar Reddy, V. S. K. Sindhura, Vidisha Tiwari, Shaswat Srivastava
    Pages 15-25

  4. A Review of Disease Detection Emerging Technologies of Pre and Post harvest Plant Diseases: Recent Developments and Future Prospects

    • Sakshi Pandey, Kuldeep Kumar Yogi, Ayush Ranjan
    Pages 27-39

  5. A Comparative Study Based on Lung Cancer with Deep Learning and Machine Learning Models

    • Yalamkur Nuzhat Afreen, P. V. Bhaskar Reddy
    Pages 41-49

  6. Low-Cost Data Acquisition System for Electric Vehicles

    • Vinay Gupta, Toushit Lohani, Karan Singh Shekhawat
    Pages 51-58

  7. Machine Learning Based Robotic-Assisted Upper Limb Rehabilitation Therapies: A Review

    • Shymala Gowri Selvaganapathy, N. Hema Priya, P. D. Rathika, M. Mohana Lakshmi
    Pages 59-73

  8. Performance Analysis of Classic LEACH Versus CC-LEACH

    • Lakshmi Bhaskar, C. R. Yamuna Devi
    Pages 75-83

  9. Anomaly Detection in the Course Evaluation Process

    • Vanishree Pabalkar, Ruby Chanda, Anagha Vaidya
    Pages 85-102

  10. Self-attention-Based Efficient U-Net for Crack Segmentation

    • Shreyansh Gupta, Shivam Shrivastwa, Sunny Kumar, Ashutosh Trivedi
    Pages 103-114

  11. Lung Carcinoma Detection from CT Images Using Image Segmentation

    • C. Karthika Pragadeeswari, R. Durga, G. Dhevanandhini, P. Vimala
    Pages 115-126

  12. A Deep Learning Based Human Activity Recognition System for Monitoring the Elderly People

    • V. Gokula Krishnan, A. Kishore Kumar, G. Bhagya Sri, T. A. Mohana Prakash, P. A. Abdul Saleem, V. Divya
    Pages 127-138

  13. Tweet Classification on the Base of Sentiments Using Deep Learning

    • Firas Fadhil Shihab, Dursun Ekmekci
    Pages 139-156

  14. A Comparison of Top-Rated Open-Source CMS—Joomla, Drupal, and WordPress for E-Commerce Website

    • Savan K. Patel, Falguni Suthar, Swati Patel, Jigna Prajapati
    Pages 157-167

  15. Exploiting Video Classification Using Deep Learning Models for Human Activity Recognition

    • Upasna Singh, Nihit Singhal
    Pages 169-179

  16. 6 Degree of Freedom Based Arm Robotic System with 3D Printing

    • Shrutika Arun Langde, Neetu Gyanchandani, Shyam Bawankar
    Pages 181-189

  17. Earlier Heart Disease Prediction System Using Machine Learning

    • Tiwari Kritika, Sajid Ansari, Govind Kushwaha
    Pages 191-204

  18. Heart Disease Prediction Using Machine Learning and Neural Networks

    • Vijay Mane, Yash Tobre, Swapnil Bonde, Arya Patil, Parth Sakhare
    Pages 205-228

  19. Mathematical Approaches in the Study of Diabetes Mellitus

    • S. V. K. R. Rajeswari, P. Vijayakumar
    Pages 229-248

  20. Path Planning of Autonomous Underwater Vehicle Under Malicious Node Effect in Underwater Acoustic Sensor Networks

    • Arnav Hari, Prateek, Rajeev Arya
    Pages 249-260
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Keywords

About this book

This book is a collection of the high-quality research articles in the field of computer vision and robotics which are presented in International Conference on Computer Vision and Robotics (ICCVR 2022), organized by BBD University Lucknow India, during 21 – 22 May 2022. The book discusses applications of computer vision and robotics in the fields like medical science, defence and smart city planning. This book presents recent works from researchers, academicians, industry, and policy makers.

Editors and Affiliations

  • Department of Computer Science and Engineering, Babu Banarasi Das University, Lucknow, India

    Praveen Kumar Shukla

  • Department of Information Technology, Indian Institute of Information Technology, Allahabad, Prayagraj, India

    Krishna Pratap Singh

  • Department of Computer Science & Engineering, Malviya National Institute of Technology (MNIT), Jaipur, India

    Ashish Kumar Tripathi

  • Department of Industrial Engineering and Computer Science Division, University of Stellenbosch, Matieland, South Africa

    Andries Engelbrecht

About the editors

Prof. Praveen Kumar Shukla is presently working as Professor and Head in the Department of Computer Science and Engineering, Babu Banarasi Das University, Lucknow. He did Ph.D. in Computer Science and Engineering from Dr. A P J Abdul Kalam Technical University, Lucknow. He did B.Tech. in Information Technology and M.Tech. in Computer Science and Engineering. His research area includes fuzzy systems (interval type-2 fuzzy systems and type-2 fuzzy systems), evolutionary algorithms (genetic algorithms), genetic fuzzy systems, multi-objective optimization using evolutionary algorithms, big data analytics, and Internet of things. He has published many papers in national conferences, international conferences, and international journals. He has also published a book “Introduction to Information Security and Cyber Laws” in 2014 with Dreamtech Publishers and published a patent on “Social Media based Framework for Community Moblisation during and post Pandemic” in 2021. He completed one research project on “Particle Swarm Optimization Based Electric Load Forecasting” sponsored by Dr. A P J Abdul Kalam Technical University under TEQIP-III scheme. He is Member of IEEE (Computational Intelligence Society), USA, International Association of Computer Science and Information Technology (IACSIT), Singapore, International Association of Engineers (IAENG), Hong Kong, Society of Digital Information and Wireless Communications (SDIWC), Institutions of Engineers, India, and Soft Computing Research Society (SCRS), India.
 
Dr. Krishna Pratap Singh is Associate Professor at Department of Information Technology, Indian Institute of Information Technology Allahabad. Prior to this, he worked as Assistant Professor (2013-2018) and Lecture (2009-2012) at IIIT Allahabad. He did Ph.D. and Master from IIT Roorkee in 2009 and 2004, respectively. He has published more than 60 research articles in various International Journals and conferences. He isheading Machine Leaning and Optimization Lab at IIITA. His teaching and research interests are machine learning, representation learning, transfer learning, and optimization.
 
Dr. Ashish Kumar Tripathi (Member, IEEE) received his M.Tech. and Ph.D. degrees in Computer Science and Engineering from Delhi Technological University, Delhi, India, in 2013 and 2019, respectively. He is currently working as Assistant Professor with the Department of Computer Science and Engineering, Malviya National Institute of Technology (MNIT), Jaipur, India. His research interests include big data analytics, social media analytics, soft computing, image analysis, and natural language processing. Dr. Tripathi has published several papers in international journals and conferences including IEEE transactions. He is active Reviewer for several journals of repute.
 
Prof. Andries Engelbrecht received the Master’s and Ph.D. degrees in Computer Science from the University of Stellenbosch, South Africa, in 1994 and 1999, respectively. He is currently appointed as Voigt Chair in Data Science in the Department of Industrial Engineering, with a joint appointment as Professor in the Computer Science Division, Stellenbosch University. Prior to his appointment at Stellenbosch University, he has been at the University of Pretoria, Department of Computer Science (1998-2018), where he was appointed as South Africa Research Chair in Artificial Intelligence (2007-2018), Head of the Department of Computer Science (2008-2017), and Director of the Institute for Big Data and Data Science (2017-2018).

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