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Proceedings of International Conference on Deep Learning, Computing and Intelligence

ICDCI 2021

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Gunasekaran Manogaran

    1. University of California, Davis, USA

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  2. A. Shanthini

    1. Department of Information Technology, SRM Institute of Science and Technology, Kattankulathur, India

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  3. G. Vadivu

    1. Department of Information Technology, SRM Institute of Science and Technology, Kattankulathur, India

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  • Presents research works in the field of deep learning, computing, and intelligence
  • Provides original works presented at ICDCI 2021 held in Chennai, 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 1396)

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Table of contents (60 papers)

  1. Front Matter

    Pages i-xxvi
    Download chapter PDF

  2. Classification of Blast Cells in Leukemia Using Digital Image Processing and Machine Learning

    • T. Karthick, M. Ramprasath, M. Sangeetha
    Pages 1-18

  3. Secured Cloud Storage System Using Auto Passkey Generation

    • Sudha Ayatti, K. Gouri, Pavan Kunchur, Sadhana P. Bangarashetti
    Pages 19-31

  4. A Novel Multi-Objective Memetic Algorithm for Mining Classifiers

    • K. R. Ananthapadmanaban, S. Muruganandam, Sujatha Srinivasan
    Pages 33-41

  5. An Intelligent Road Transportation System

    • S. Muruganandam, K. R. Ananthapadmanaban, Sujatha Srinivasan
    Pages 43-50

  6. Securing Data from Active Attacks in IoT: An Extensive Study

    • C. Silpa, G. Niranjana, K. Ramani
    Pages 51-64

  7. Building an Enterprise Data Lake for Educational Organizations for Prediction Analytics Using Deep Learning

    • Palanivel Kuppusamy, K. Suresh Joseph
    Pages 65-81

  8. Events of Interest Extraction from Forensic Timeline Using Natural Language Processing (NLP)

    • Palash Dusane, G. Sujatha
    Pages 83-94

  9. Survey on Voice-Recognized Home Automation System Using IOT

    • Shreya Mittal, Tarun Bharadwaj, T. Y. J. Naga Malleswari
    Pages 95-104

  10. Fingerprinting of Image Files Based on Metadata and Statistical Analysis

    • J. Harish Kumar, T. Kirthiga Devi
    Pages 105-118

  11. Comparative Study of Risk Assessment of COVID-19 Patients with Comorbidities

    • Satwika Kesana, Meghana Avadhanam, T. Y. J. Naga Malleswari
    Pages 119-132

  12. Neural Network for 3-D Prediction of Breast Cancer Using Lossless Compression of Medical Images

    • P. Renukadevi, M. Syed Mohamed
    Pages 133-141

  13. An Investigation of Paralysis Attack Using Machine Learning Approach

    • S. Surya, S. Ramamoorthy
    Pages 143-153

  14. A Survey on Feature Selection and Classification Techniques for EEG Signal Processing

    • K. Saranya, M. Paulraj, M. Brindha
    Pages 155-165

  15. Deployment of Sentiment Analysis of Tweets Using Various Classifiers

    • Shatakshi Brijpuriya, M. Rajalakshmi
    Pages 167-178

  16. Predictive Analysis on HRM Data: Determining Employee Promotion Factors Using Random Forest and XGBoost

    • D. Vishal Balaji, J. Arunnehru
    Pages 179-189

  17. A Review on Deaf and Dumb Communication System Based on Various Recognitions Aspect

    • G. Arun Prasath, K. Annapurani
    Pages 191-203

  18. Refined Search and Attribute-Based Encryption Over the Cloud Data

    • M. S. Iswariya, K. Annapurani
    Pages 205-212

  19. Facial Recognition Techniques and Their Applicability to Student Concentration Assessment: A Survey

    • Mukul Lata Roy, D. Malathi, J. D. Dorathi Jayaseeli
    Pages 213-225

  20. Malware Detection Using API Function Calls

    • Bashar Hayani, E. Poovammal
    Pages 227-235
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Keywords

About this book

This book gathers selected papers presented at the International Conference on Deep Learning, Computing and Intelligence (ICDCI 2021), organized by Department of Information Technology, SRM Institute of Science and Technology, Chennai, India, during January 7–8, 2021. The conference is sponsored by Scheme for Promotion of Academic and Research Collaboration (SPARC) in association with University of California, UC Davis and SRM Institute of Science and Technology. The book presents original research in the field of deep learning algorithms and medical imaging systems, focusing to address issues and developments in recent approaches, algorithms, mechanisms, and developments in medical imaging.

Editors and Affiliations

  • University of California, Davis, USA

    Gunasekaran Manogaran

  • Department of Information Technology, SRM Institute of Science and Technology, Kattankulathur, India

    A. Shanthini, G. Vadivu

About the editors

Dr. Gunasekaran Manogaran is currently working as Big Data Scientist at University of California, Davis, USA. He is also Adjunct Assistant Professor, Department of Computer Science and Information Engineering, Asia University, Taiwan, and Adjunct Faculty, in School of Computing, SRM Institute of Science and Technology, Kattankulathur, India. He is Visiting Researcher/Scientist at the University of La Frontera, Colombia, and the International University of La Rioja, Spain. He received his Ph.D. from the Vellore Institute of Technology University, India. He received his Bachelor of Engineering and Master of Technology from Anna University, India, and Vellore Institute of Technology University, India, respectively. He is author/co-author of more than 100 papers in conferences, book chapters, and journals, including IEEE Transactions on Industrial Informatics, IEEE Transactions on Computational Social Systems, IEEE Internet of Things, IEEE Intelligent System, IEEE Access, ACM Transactions on Multimedia Computing, Communications, and Applications.


Dr. A. Shanthini is currently working as Associate Professor in the Department of Information and Technology, SRM Institute of Science and Technology, Kattankulathur Campus, India. She received her Bachelor of Engineering, Master of Engineering and Ph.D. from Annamalai University, India. Her current research interests include IoT, machine learning, and deep learning in health care. She published two patents in the Patent Office Journal and one in Australian patent in the year 2018 and 2020, respectively. Currently, she is Principal Investigator of the project titled “Prognosis of Microaneurysm, and early diagnosis system for non-proliferative Diabetic Retinopathy using Deep Convolutional neural network” sponsored by SPARC-IITK, MHRD, Government of India, which is associated with University of California, Davis Campus, USA, and SRM IST, India, for 67 Lakhsin March 2019. She is author/co-author in 12 research articles in international journals and conferences, including SCI and Scopus indexed papers. She is Active Member of IEEE, ACM, and ISC.


Dr. G. Vadivu is working in the teaching profession for more than two decades. Currently, she is designated Professor and Head in the Department of Information Technology at SRM Institute of Science and Technology, Kattankulathur Campus, India. Her research areas include big data analytics, semantic web, data mining, and database systems. She published more than 30 research articles in a reputed journal listed in SCIE and Scopus. She has organized UGC sponsored workshop on .NET Technologies during 2006 and 2009. She received the Best Teaching Faculty Award and Certificate of Appreciation for the journal published in the year 2012. Also, she has completed Oracle Certification, Certification in Database Administration-Microsoft Technology Association, High-Impact Teaching Skills Certified by Dale Carnegie, and IBM-DB2 certification.

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