Computational Intelligence in Pattern Recognition

1. Front Matter

   Pages i-xxiv

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2. Application of Big Data and Machine Learning for Astrological Predictions

   • Partha Sarathi Paul

   Pages 1-12

3. A Comparative Analysis of Machine Learning Approaches in Personality Prediction Using MBTI

   • Kulsum Akter Nisha, Umme Kulsum, Saifur Rahman, Md. Farhad Hossain, Partha Chakraborty, Tanupriya Choudhury

   Pages 13-23

4. Performance Analysis of OFDM System on Multipath Fading and Inter Symbol Interference (ISI) Using AWGN

   • Abu Sayed, Mahmuda Khatun, Tasniya Ahmed, Antara Anika Piya, Partha Chakraborty, Tanupriya Choudhury

   Pages 25-36

5. Object Detection and Classification from a Real-Time Video Using SSD and YOLO Models

   • Md. Alamin Feroz, Marjia Sultana, Md. Rakib Hasan, Aditi Sarker, Partha Chakraborty, Tanupriya Choudhury

   Pages 37-47

6. A Skin Cancer Image Detection Interface Tool Using VLF Support Vector Machine Classification

   • Rosy Mishra, Sushant Meher, Nitish Kustha, Tanuja Pradhan

   Pages 49-63

7. Convolutional Neural Networks-Based Sentence Level Classification of Crime Documents

   • Priyanka Das, Asit Kumar Das

   Pages 65-73

8. An Optimum Fuzzy EOQ Model for Deteriorating Items with Shortages in a Particular Period

   • Minakshi Panda, Anuradha Sahoo

   Pages 75-83

9. Bangla Spoken Numerals Recognition by Using HMM

   • Bachchu Paul, Debashri Das Adhikary, Tanushree Dey, Sanchita Guchhait, Somnath Bera

   Pages 85-97

10. Feature Selection Using Louvain Clustering Algorithm for Rice Disease Prediction

    • Sunanda Das, Shampa Sengupta, Priyanka Das

    Pages 99-108

11. Image Caption Generation Using Neural Network Models and LSTM Hierarchical Structure

    • Prachi M. Waghmare, Swati V. Shinde

    Pages 109-117

12. A Comparative Study Based on Long Short-Term Memory Networks for Assessing Photovoltaic Power

    • Debashis Majumdar, Mayukh Bhattacharjee, Sudipta Basu Pal, Sankhadeep Chatterjee, Rajiv Ganguly

    Pages 119-127

13. Recent Trends in Blockchain Technology

    • J. Bheemeswara Sastry, Barnali Gupta Banik

    Pages 129-142

14. Statistical Distribution of GPS Uncertainties Over Low Latitude Regions of India

    • V. B. S. Srilatha Indira Dutt, P. Sirish Kumar, P. Krishna Rao

    Pages 143-155

15. An Unsupervised COVID-19 Report Summarizer for Developing Smart Healthcare System

    • Ankur Das, Debdatta Pal, Chirantana Mallick, Asit K Das

    Pages 157-168

16. Ambiguities in GNSS Receiver Position Estimation: A Comparative Statistical Error Characterization

    • P. Sirish Kumar, V. B. S. Srilatha Indira Dutt, Jami Venkata Suman, P. Krishna Rao

    Pages 169-181

17. Reconnaissance Attacks: A First Step to Hack IoT Devices and Cyber Crime

    • Samir Rana, Umang Garg, Neha Gupta

    Pages 183-194

18. A Role of Machine Learning and Deep Learning Techniques for Preoperative Prediction in Shoulder Arthroplasty: Survey

    • Milind C. Tote, Shrikant V. Sonekar

    Pages 195-204

19. MIRFCS: An Ensemble of Filter Methods for Classification of Disease Data

    • Moumita Mandal, Dyuti Ghosh, Soutrik Acharya, Nabanita Saha, Ram Sarkar

    Pages 205-217

20. Redefining Safety in Autonomous Vehicle Through Remote Teleoperation

    • Zehra Fallah, Vinod Kumar Shukla, Mohammad Nadeem Khalid

    Pages 219-230

This book features high-quality research papers presented at the 3rd International Conference on Computational Intelligence in Pattern Recognition (CIPR 2021), held at the Institute of Engineering and Management, Kolkata, West Bengal, India, on 24 – 25 April 2021. It includes practical development experiences in various areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.

• Pattern Recognition
• Computational Intelligence
• Intelligent Computing
• Mobile Computing
• Internet of Things
• CIPR 2021
• Big Data Analytics
• Information and Network Security

• Computer Science and Technology, Indian Institute of Engineering Science, Howrah, India

  Asit Kumar Das

• Computer Science and Engineering, Aditya Institute of Technology and Management, Tekkali, India

  Janmenjoy Nayak

• Computer Applications, Veer Surendra Sai University of Technology, Burla, India

  Bighnaraj Naik

• Computer Application and Science, Institute of Engineering and Management, Kolkata, India

  Soumi Dutta

• Communication Sciences, University of Teramo, Teramo, Italy

  Danilo Pelusi

Prof. Asit Kumar Das is working as a Professor in the Department of Computer Science and Technology, Indian Institute of Engineering Science and Technology, Shibpur, Howrah, West Bengal, India. He has published more than 100 research papers in various international Journals and Conferences, 1 book and 4 book chapters.  He has worked as a Member of the Editorial / Reviewer Board of various international journals and Conferences. He has shared his research field of interest in many workshops and conferences through his invited speech in various Institutes in India. He acts as the general chair, program chair, and advisory member of committees of many international conferences. His research interest includes Data Mining and Pattern Recognition in various fields including Bioinformatics, Social networks, Text mining, Audio and Video data analysis, and Medical Data analysis. He has already guided five Ph.D. scholars and is currently guiding six Ph.D. scholars.


 


Dr. Janmenjoy Nayak is working as an Associate Professor, Aditya Institute of Technology and Management (AITAM), (An Autonomous Institution) Tekkali, K Kotturu, AP- 532201, India. He has published more than 110 research papers in various reputed peer reviewed Referred Journals, International Conferences and Book Chapters. Being two times Gold Medallist in Computer Science in his career, he has been awarded with INSPIRE Research Fellowship from Department of Science & Technology, Govt. of India (both as JRF and SRF level) and Best researcher award from Jawaharlal Nehru University of Technology, Kakinada, Andhra Pradesh for the AY: 2018-19 and many more awards to his credit.  He has Edited 12 Books and 8 Special Issues in various topics including Data Science, Machine Learning, and Soft Computing with reputed International Publishers like Springer, Elsevier, Inderscience etc. His area of interest includes data mining, nature inspired algorithms and soft computing.


 


Dr. Bighnaraj Naik is an Assistant Professor in the Department of Computer Application, Veer Surendra Sai University of Technology, Burla, Odisha, India. He has edited 11 books in various reputed publishers like Springer, Elsevier etc. He has published more than 110 research papers in various reputed peer reviewed International Conferences, Referred Journals and Book Chapters. He is the life member of some of the reputed societies like IEEE, IAENG (Hongkong) etc. He has more than ten years of teaching experience in the field of Computer Science and Information Technology. His area of interest includes Data Mining, Soft Computing, etc.


 


Dr. Soumi Dutta is an Associate at the Institute of Engineering & Management, India. She has completed her Ph.D. from the Department of CST, IIEST, Shibpur. She received her B.Tech. in IT and her M.Tech. in CSE securing 1st position(Gold medalist), both from Techno India Group. Her research interests Data Mining, Information Retrieval, Online Social Media Analysis, Micro-Blog Summarization, Spam Filtering Sentiment Analysis, and Clustering of Micro-Blogging Data. She was the editor in CIPR2019, IEMIS2018, IEMIS 2020 and CIPR 2020 Springer Conferences, special issue 2 volumes in IJWLTT. She is TPC member in various international conferences such as - SEAHF, DSMLA, ARIAM, CIPR. She is peer reviewer in different international journal such as - Journal of King Saud University - Computer and Information Sciences, Springer, Elsevier etc. She is the member of several technical functional bodies such as IEEE, MACUL, SDIWC, ISOC, ICSES, IEEE WIE. She has published several papers in reputed journals and conferences. She has recently published 3 patents.


 


Dr. Danilo Pelusi received his Ph.D. degree in Computational Astrophysics from the University of Teramo, Teramo, Italy, in 2006. He is an Assistant Professor of the Faculty of Communication Sciences at the University of Teramo. His current research interests include Information Theory, Fuzzy Logic, Neural Networks and Evolutionary Algorithms. Associate Editor of IEEE Transactions on Emerging Topics in Computational Intelligence and IEEE Access, he served as keynote speaker at several conferences and guest editor for Inderscience and Springer journals.