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Data Intelligence and Cognitive Informatics

Proceedings of ICDICI 2022

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. I. Jeena Jacob

    1. Computer Science and Engineering, GITAM University, Bangalore, India

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  2. Selvanayaki Kolandapalayam Shanmugam

    1. Department of Mathematics and Computer Science, Ashland University, River Forest, USA

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  3. Ivan Izonin

    1. Department of Artificial Intelligence, Lviv Polytechnic National University, Lviv, Ukraine

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  • Presents research works in the field of data intelligence and cognitive informatics
  • Provides original works presented at ICDICI 2022 held in Tirunelveli, India
  • Serves as a reference 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 (69 papers)

  1. Front Matter

    Pages i-xvii
    Download chapter PDF

  2. Modeling Müller-Lyer Illusion Using Information Geometry

    • Debasis Mazumdar, Soma Mitra, Mainak Mandal, Kuntal Ghosh, Kamales Bhaumik
    Pages 1-14

  3. Building up a Categorical Sentiment Dictionary for Tourism Destination Policy Evaluation

    • Kang Woo Lee, Ji Won Lim, Myeong Seon Kim, Da Hee Kim, Soon-Goo Hong
    Pages 15-26

  4. Statistical Analysis of Stress Prediction from Speech Signatures

    • Radhika Kulkarni, Utkarsha Gaware, Revati Shriram
    Pages 27-38

  5. DermoCare.AI: A Skin Lesion Detection System Using Deep Learning Concepts

    • Adarsh Singh, Sourabh Bera, Pranav Chaturvedi, Pranav Gadhave, C. S. Lifna
    Pages 39-51

  6. Analysis of Phishing Base Problems Using Random Forest Features Selection Techniques and Machine Learning Classifiers

    • Mithilesh Kumar Pandey, Munindra Kumar Singh, Saurabh Pal, B. B. Tiwari
    Pages 53-64

  7. Cost Prediction for Online Home-Based Application Services by Using Linear Regression Techniques

    • Rounak Goje, Vaishnavi Kale, Ritik Raj, Shivkumar Nagre, Geeta Atkar, Geeta Zaware
    Pages 65-79

  8. Convolutional Neural Network Based Intrusion Detection System and Predicting the DDoS Attack

    • R. Rinish Reddy, Sadhwika Rachamalla, Mohamed Sirajudeen Yoosuf, G. R. Anil
    Pages 81-94

  9. BERT Transformer-Based Fake News Detection in Twitter Social Media

    • S. P. Devika, M. R. Pooja, M. S. Arpitha, Vinayakumar Ravi
    Pages 95-102

  10. The Facial Expression Recognition Using Deep Neural Network

    • Vijay Mane, Rohan Awale, Vipul Pisal, Sanmit Patil
    Pages 103-112

  11. New IoT-Based Portable Microscopic Somatic Cell Count Analysis

    • A. Sivasangari, D. Deepa, R. M. Gomathi, P. Ajitha, S. Poonguzhali
    Pages 113-119

  12. A Survey on Hybrid PSO and SVM Algorithm for Information Retrieval

    • D. R. Ganesh, M. Chithambarathanu
    Pages 121-130

  13. Metric Effects Based on Fluctuations in Values of k in Nearest Neighbor Regressor

    • Abhishek Gupta, Raunak Joshi, Nandan Kanvinde, Pinky Gerela, Ronald Melwin Laban
    Pages 131-140

  14. An Ensemble Approach to Recognize Activities in Smart Environment Using Motion Sensors and Air Quality Sensors

    • Shruti Srivatsan, Sumneet Kaur Bamrah, K. S. Gayathri
    Pages 141-150

  15. Generalization of Fingerprint Spoof Detector

    • C. Kanmani Pappa, T. Kavitha, I. Rama Krishna, V. Venkata Lokesh, A. V. L. Narayana
    Pages 151-165

  16. Applied Deep Learning for Safety in Construction Industry

    • Tanvi Bhosale, Ashwini Biradar, Kartik Bhat, Sampada Barhate, Jameer Kotwal
    Pages 167-181

  17. Deep Learning-Based Quality Inspection System for Steel Sheet

    • M. Sambath, C. Sai Bhargav Reddy, Y. Kalyan Reddy, M. Mohit Sairam Reddy, M. Kathiravan, S. Ravi
    Pages 183-193

  18. Forecasting Prediction of Covid-19 Outbreak Using Linear Regression

    • Gurleen Kaur, Parminder Kaur, Navinderjit Kaur, Prabhpreet Kaur
    Pages 195-221

  19. Proctoring Solution Using AI and Automation (Semi)

    • Ravi Sridharan, Linda Joseph, B. Sandhya Reddy
    Pages 223-237

  20. Apple Leaf Disease Prediction Using Deep Learning Technique

    • Thota Rishitha, G. Krishna Mohan
    Pages 239-246
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Keywords

About this book

The book is a collection of peer-reviewed best selected research papers presented at the International Conference on Data Intelligence and Cognitive Informatics (ICDICI 2021), organized by SCAD College of Engineering and Technology, Tirunelveli, India, during July 6–7, 2022. This book discusses new cognitive informatics tools, algorithms and methods that mimic the mechanisms of the human brain which lead to an impending revolution in understating a large amount of data generated by various smart applications. The book includes novel work in data intelligence domain which combines with the increasing efforts of artificial intelligence, machine learning, deep learning and cognitive science to study and develop a deeper understanding of the information processing systems.

Editors and Affiliations

  • Computer Science and Engineering, GITAM University, Bangalore, India

    I. Jeena Jacob

  • Department of Mathematics and Computer Science, Ashland University, River Forest, USA

    Selvanayaki Kolandapalayam Shanmugam

  • Department of Artificial Intelligence, Lviv Polytechnic National University, Lviv, Ukraine

    Ivan Izonin

About the editors

Jeena Jacob is working as Professor in Computer Science and Engineering department at GITAM University, Bangalore, India. She actively participates on the development of the research field by conducting international conferences, workshops and seminars. She has published many articles in referred journals. She has guest edited an issue for International Journal of Mobile Learning and Organization. Her research interests include mobile learning and computing. 
 
Selvanayaki Kolandapalayam Shanmugam holds a Bachelor’s degree in Mathematics and Masters in Computer Applications from Bharathiar University, and her Master of Philosophy in Computer Science from Bharathidasan University, and a Ph.D. in Computer Science from Anna University. She takes various positions as Teaching Faculty, Research Advisor and Project -Coordinator in the field of academics from 2002 in various reputed institutions. She has related to the IT industry for more than five years by taking her prestigious role as Business Analyst Consultant. Her primary research interests are in the application of computing and information technologies to problems which impacts societal benefits. 
 
Ivan Izonin graduated from Lviv Polytechnic National University in 2011 (M.Sc. in Computer Sciences) and Ivan Franko National University of Lviv in 2012 (M.Sc. in Economic Cybernetics). He got his Ph.D. in Artificial Intelligence in 2016. He is currently working as Assistant at Publishing Information Technologies Department, Lviv Polytechnic National University, Lviv, Ukraine. He has published more than 80 publications, including eight patents for inventions and one tutorial. His major research interests are computational intelligence; high-speed neural-like systems; non-iterative machine learning algorithms. Dr. Izonin is participating in the developing two international Erazmus+ projects – MASTIS and DocHub. He is Technical Committee Member of several international conferences.

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