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  • Conference proceedings
  • © 2022

Innovations in Computational Intelligence and Computer Vision

Proceedings of ICICV 2021

Editors:

(view affiliations)
  • Presents research works in the field of computational intelligence and computer vision

  • Provides original works presented at ICICV 2021 held in Jaipur, India

  • Serves as a reference for researchers and practitioners in academia and industry

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1424)

  • 2770 Accesses

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USD 189.00
Price excludes VAT (USA)
  • ISBN: 978-981-19-0475-2
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  • Tax calculation will be finalised during checkout
Softcover Book
USD 249.99
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Table of contents (54 papers)

  1. Front Matter

    Pages i-xix
  2. An Efficient Self-embedding Fragile Watermarking Scheme Based on Neighborhood Relationship

    • Anupam Shukla, IfshaWadhwa, Aakanksha Gupta, Simran Jaglan, Shivendra Shivani
    Pages 1-7
  3. GeoCloud4EduNet: Geospatial Cloud Computing Model for Visualization and Analysis of Educational Information Network

    • Chandrima Roy, Ekansh Maheshwari, Manjusha Pandey, Siddharth Swarup Rautaray, Rabindra K. Barik
    Pages 9-17
  4. Political Polarity Classification Using NLP

    • Sagi Harshad Varma, Yanamandra Venkata Sree Harsha
    Pages 19-33
  5. Robust Segmentation of Nodules in Ultrasound-B Thyroid Images Through Deep Model-Based Features

    • Siddhant Baldota, C. Malathy, Arjun Chaudhary, M. Gayathri
    Pages 35-45
  6. Image Compression Using Histogram Equalization

    • Raj Kumar Paul, Saravanan Chandran
    Pages 47-61
  7. Violence Detection in Video Footages Using I3D ConvNet

    • Joel Selvaraj, J. Anuradha
    Pages 63-75
  8. Performance Analysis of Gradient Descent and Backpropagation Algorithms in Classifying Areas under Community Quarantine in the Philippines

    • Carmella Denise M. Adeza, Crishmel Bemar G. Manarin, Jerry S. Polinar, Paolo Jyme A. Cabrera, Arman Bernard G. Santos
    Pages 77-85
  9. Least Mean Square Algorithm for Identifying High-risk Areas Vulnerable to Man-Made Disasters: A Philippine Perspective

    • Jaztine B. Abanes, Mary Joy B. Collarin, Kathleen Q. Manlangit, Kem Irish G. Mercado, Nickcel Jirro M. Natanauan, Arman Bernard G. Santos
    Pages 87-94
  10. Representative-Based Cluster Undersampling Technique for Imbalanced Credit Scoring Datasets

    • Sudhansu Ranjan Lenka, Sukant Kishoro Bisoy, Rojalina Priyadarshini, Biswaranjan Nayak
    Pages 119-129
  11. Analysis of Approaches for Irony Detection in Tweets for Online Products

    • S. Uma Maheswari, S. S. Dhenakaran
    Pages 141-151
  12. Stroke-Based Handwritten Gujarati Font Synthesis in Personal Handwriting Style via Shape Simulation Approach

    • Preeti P. Bhatt, Jitendra V. Nasriwala, Rakesh R. Savant
    Pages 165-173
  13. Kids View—A Parents Companion

    • Sujata Khedkar, Advait Naik, Omkar Mane, Aditya Gurnani, Krish Amesur
    Pages 175-188
  14. Load Balancing in Multiprocessor Systems Using Modified Real-Coded Genetic Algorithm

    • Poonam Panwar, Chetna Kaushal, Anshu Singla, Vikas Rattan
    Pages 201-210

About this book

This book presents high-quality, peer-reviewed papers from the International Conference on “Innovations in Computational Intelligence and Computer Vision (ICICV 2021),” hosted by Manipal University Jaipur, Rajasthan, India, on August 5–6, 2021. Offering a collection of innovative ideas from researchers, scientists, academics, industry professionals and students, the book covers a variety of topics, such as artificial intelligence and computer vision, image processing and video analysis, applications and services of artificial intelligence and computer vision, interdisciplinary areas combining artificial intelligence and computer vision, and other innovative practices.

Keywords

  • Artificial Intelligence
  • Computer Vision
  • Image Processing
  • Video Analysis
  • Innovative Practices
  • ICICV 2021
  • ICICV Proceedings

Editors and Affiliations

  • Department of Computer Science and Engineering, Manipal University Jaipur, Jaipur, India

    Satyabrata Roy

  • Department of Computer and Communication Engineering, Manipal University Jaipur, Jaipur, India

    Deepak Sinwar

  • Department of Computer Science and Information Technology, Universiti Putra Malaysia, Selangor, Malaysia

    Thinagaran Perumal

  • Department of Computer Engineering, Koszalin University of Technology, Koszalin, Poland

    Adam Slowik

  • Departamento de Engenharia Mecânica Faculdade de Engenharia, Universidade do Porto, Porto, Portugal

    João Manuel R. S. Tavares

About the editors

Dr. Satyabrata Roy is an Assistant Professor at the Department of Computer Science and Engineering, School of Computing & Information Technology at Manipal University Jaipur, Rajasthan, India. He received his Ph.D and M. Tech (with honors) degrees in Computer Science and Engineering in 2020 and 2014 respectively; and B. Tech in Information Technology in 2009. His research interests include Cryptography, Internet of Things, Cellular Automata, Computer Networks, Computational Intelligence, Machine Learning and Formal Languages. He is an enthusiastic and motivating technocrat with more than 10 years of research and academic experience. He has served as resource person of many FDPs and seminars. He is a member of ACM and senior member of IEEE.

Dr. Deepak Sinwar is an Assistant Professor at the Department of Computer and Communication Engineering, School of Computing & Information Technology at Manipal University Jaipur, Jaipur, Rajasthan, India. He received his Ph.D and M.Tech degrees in Computer Science and Engineering in 2016 and 2010 respectively; and B.Tech (with honors) in Information Technology in 2008. His research interests include Computational Intelligence, Data Mining, Machine Learning, Reliability Theory, Computer Networks and Pattern Recognition. He is an enthusiastic and motivating technocrat with more than 11 years of research and academic experience. He is a life member of Indian Society for Technical Education (India), and member of ACM and IEEE.

Thinagaran Perumal is currently a Senior Lecturer at the Department of Computer Science, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia. He is also currently appointed as Head of Cyber-Physical Systems in the university and been elected as Chair of IEEE Consumer Electronics Society Malaysia Chapter. He is the recipient of 2014 Early Career Award from IEEE Consumer Electronics Society for his pioneering contribution in the field of consumer electronics. He completed his PhD at Universiti Putra Malaysia, in smart technology and robotics. His research interests are towards interoperability aspects of smart homes and Internet of Things (IoT), wearable computing, and cyber-physical systems. He is also heading the National Committee on Standardization for IoT (IEC/ISO TC / G/16) as Chairman since 2018. Some of the eminent works include proactive architecture for IoT systems; development of the cognitive IoT frameworks for smart homes and wearable devices for rehabilitation purposes. He is an active member of IEEE Consumer Electronics Society and its Future Directions Committee on Internet of Things. He has been invited to give several keynote lectures and plenary talk on Internet of Things in various institutions and organizations internationally. He has published several papers in IEEE Conferences and Journals and is serving as TPC member for several reputed IEEE conferences. He is an active reviewer for IEEE Internet of Things Journal, IEEE Communication Magazine, IEEE Sensors Journal, and IEEE Transaction for Automation Science and Engineering, to name a few.

Adam Slowik (IEEE Member 2007; IEEE Senior Member 2012) received the B.Sc. and M.Sc. degrees in computer engineering and electronics in 2001 and the Ph.D. degree with distinction in 2007 from the Department of Electronics and Computer Science, Koszalin University of Technology, Koszalin, Poland. He received the Dr. habil. degree in computer science (Intelligent Systems) in 2013 from the Department of Mechanical Engineering and Computer Science, Czestochowa University of Technology, Czestochowa, Poland. Since October 2013, he has been an Associate Professor in the Department of Electronics and Computer Science, Koszalin University of Technology. His research interests include Soft Computing, Computational Intelligence, and, particularly, Bio-inspired Optimization algorithms and their engineering applications. He is a reviewer for many international scientific journals. He is an author or co-author of over 100 refereed articles in international journals, two books, and conference proceedings, including one invited talk. He is an editor of two books "Swarm Intelligence Algorithms" published in 2020 by Taylor and Francis Group (CRC Press). He was a Program Chair during International Conference on Advanced Intelligent Systems and Informatics (2020). Many times, he was a Guest Editor in Special Issues which were organized in such journals as IEEE Transactions on Industrial Informatics, IEEE Transactions on Industrial Electronics, IEEE Transactions on Fuzzy Systems. Dr. Slowik is an Associate Editor of the IEEE Transactions on Industrial Informatics. He is a member of the program committees of several important international conferences in the area of Artificial Intelligence and Evolutionary Computation. He was a recipient of one Best Paper Award (IEEE Conference on Human System Interaction - HSI 2008). Dr. Slowik is a Head of the Department of Computer Engineering at Koszalin University of Technology.




Bibliographic Information

Buying options

eBook
USD 189.00
Price excludes VAT (USA)
  • ISBN: 978-981-19-0475-2
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD 249.99
Price excludes VAT (USA)