Skip to main content
  • Conference proceedings
  • © 2022

Ubiquitous Intelligent Systems

Proceedings of Second ICUIS 2022

  • Presents recent innovative research in the field of ubiquitous intelligent systems

  • Addresses results of ICUIS 2022 organized in Tamil Nadu, India, during March 2022

  • Serves as a reference for young scholars, researchers, and industry professionals

  • 3940 Accesses

Conference proceedings info: ICUIS 2021.

Buying options

eBook USD 219.00
Price excludes VAT (USA)
  • ISBN: 978-981-19-2541-2
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Hardcover Book USD 279.99
Price excludes VAT (USA)

This is a preview of subscription content, access via your institution.

Table of contents (57 papers)

  1. Front Matter

    Pages i-xvi
  2. Development of a Linear-Scaling Consensus Mechanism of the Distributed Data Ledger Technology

    • Gennady Shvachych, Ivan Pobochii, Hanna Sashchuk, Oleksandr Dzhus, Olena Khylko, Volodymyr Busygin
    Pages 1-13
  3. Crop Price Prediction Using Machine Learning Naive Bayes Algorithms

    • R. Vikram, R. Divij, N. Hishore, G. Naveen, D. Rudhramoorthy
    Pages 27-34
  4. The Performance Evaluation of Adaptive Energy Conservation Scheme Using IoT

    • Syed Imran Patel, Imran Khan, Karim Ishtiaque Ahmed, V. Raja Kumar, T. Anuradha, Rajendra Bahadur Singh
    Pages 35-43
  5. Depression Analysis of Real Time Tweets During Covid Pandemic

    • G. B. Gour, Vandana S. Savantanavar, Yashoda, Vijaylaxmi Gadyal, Sushma Basavaraddi
    Pages 55-73
  6. Diabetic Retinopathy Detection Using Deep Learning Models

    • S. Kanakaprabha, D. Radha, S. Santhanalakshmi
    Pages 75-90
  7. Study of Regional Language Translator Using Natural Language Processing

    • P. Santhi, J. Aarthi, S. Bhavatharini, N. Guna Nandhini, R. Snegha
    Pages 91-100
  8. Fabric Defect Detection Using Deep Learning Techniques

    • K. Gopalakrishnan, P. T. Vanathi
    Pages 101-113
  9. Survey on Handwritten Characters Recognition in Deep Learning

    • M. Malini, K. S. Hemanth
    Pages 123-133
  10. A Survey on Wild Creatures Alert System to Protect Agriculture Lands Domestic Creatures and People

    • K. Makanyadevi, M. Aarthi, P. Kavyadharsini, S. Keerthika, M. Sabitha
    Pages 135-145
  11. A Study on Surveillance System Using Deep Learning Methods

    • V. Vinothina, Augustine George, G. Prathap, Jasmine Beulah
    Pages 147-162
  12. IRHA: An Intelligent RSSI Based Home Automation System

    • Samsil Arefin Mozumder, A. S. M. Sharifuzzaman Sagar
    Pages 163-176
  13. Enhanced Mask-RCNN for Ship Detection and Segmentation

    • Anusree Mondal Rakhi, Arya P. Dhorajiya, P. Saranya
    Pages 199-210
  14. Data Scientist Job Change Prediction Using Machine Learning Classification Techniques

    • Sameer A. Kyalkond, V. Manikanta Sanjay, H. Manoj Athreya, Sudhanva Suresh Aithal, Vishal Rajashekar, B. H. Kushal
    Pages 211-219
  15. Knowledge Discovery in Web Usage Patterns Using Pageviews and Data Mining Association Rule

    • G. Vijaiprabhu, B. Arivazhagan, N. Shunmuganathan
    Pages 233-247

Other Volumes

  1. Ubiquitous Intelligent Systems

    Proceedings of Second ICUIS 2022

About this book

This book features a collection of high-quality, peer-reviewed papers presented at the Second International Conference on Ubiquitous Intelligent Systems (ICUIS 2022) organized by Shree Venkateshwara Hi-Tech Engineering College, Tamil Nadu, India during 10 – 11 March 2022. The book covers topics such as cloud computing, mobile computing and networks, embedded computing frameworks, modelling and analysis of ubiquitous information systems, communication networking models, big data models and applications, ubiquitous information processing systems, next-generation ubiquitous networks and protocols, advanced intelligent systems, Internet of things, wireless communication and storage networks, intelligent information retrieval techniques, AI based intelligent information visualization techniques, cognitive informatics, smart automation systems, healthcare informatics and bioinformatics models, security and privacy of intelligent information systems, and smart distributed information systems.


  • Mobile Computing
  • Pervasive Communication Networks
  • Big Data
  • Fuzzy based Control
  • Optimization Models and Cognitive Informatics
  • ICUIS 2022 Proceedings

Editors and Affiliations

  • Department of EEE, Shree Venkateshwara Hi-Tech Engg College, Gobichettipalayam, India

    P. Karuppusamy

  • Castilla-La Mancha University, Ciudad Real, Spain

    Fausto Pedro García Márquez

  • Department of Computer Science, Kennesaw State University, Marietta, USA

    Tu N. Nguyen

About the editors

Dr. P. Karrupusamy working as a Professor and Head in Department of Electrical and Electronics Engineering at Shree Venkateshwara Hi-Tech Engineering College, Erode. In 2017, he had completed doctorate in Anna University, Chennai, and in 2007, he had completed his postgraduate in Power Electronics and Drives in Government College of Technology, Coimbatore, India.  He has more than 10 years of teaching experience. He has published more than 40 papers in national and international journals and conferences. He has acted as conference chair in IEEE international conferences and Guest Editor in reputed journals. His research area includes modeling of PV arrays, adaptive neuro-fuzzy model for grid connected photovoltaic system with multilevel inverter.

Dr. Fausto works at UCLM as Full Professor (Accredited as Full Professor from 2013), Spain, Honorary Senior Research Fellow at Birmingham University, UK, Lecturer at the Postgraduate European Institute, and he has been Senior Manager in Accenture (2013-2014). He obtained his European Ph.D. with a maximum distinction. He has been distingueed with the prices: Advancement Prize for Management Science and Engineering Management Nominated Prize (2018). He has published more than 150 papers (65 % ISI, 30% JCR, and 92% internationals), some recognized as: “Renewable Energy” (as “Best Paper 2014”); “ICMSEM” (as “excellent”), “Int. J. of Automation and Computing”, and “IMechE Part F: J. of Rail and Rapid Transit” (most downloaded), etc. He is Author and Editor of 25 books (Elsevier, Springer, Pearson, Mc-GrawHill, Intech, IGI, Marcombo, AlfaOmega…) and 5 patents. He is Editor of 5 Int. Journals, Committee Member more than 40 Int. Conferences. He has been Principal Investigator in 4 European Projects, 5 National Projects, and more than 150 projects for Universities, Companies, etc. His main interests are: maintenance management, renewable energy, transport, advanced analytics, data science.

Tu N. Nguyen is an Assistant Professor and Director of the Intelligent Systems Laboratory (ISL) in the Department of Computer Science at Kennesaw State University, Georgia, USA. His research and teaching are hinged on developing fundamental mathematical tools and principles to design and develop smart, secure, and self-organizing systems, with applications to network systems, cyber-physical systems, and cybersecurity. Dr. Nguyen has published 1 book and 60+ publications in leading academic journals and conferences. His research work, therefore, focuses on developing fundamental mathematical tools and principles to design and develop smart, secure, and self-organizing systems, with applications to network systems, cyber-physical systems, and cybersecurity.

Bibliographic Information

Buying options

eBook USD 219.00
Price excludes VAT (USA)
  • ISBN: 978-981-19-2541-2
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Hardcover Book USD 279.99
Price excludes VAT (USA)