Skip to main content
SpringerLink
Log in

Smart Data Intelligence

Proceedings of ICSMDI 2022

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. R. Asokan

    1. Kongunadu College of Engineering and Technology, Tholurpatti, India

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Diego P. Ruiz

    1. School of Information Technology and Telecommunications Engineering, University of Granada, Granada, Spain

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Zubair A. Baig

    1. Deakin University, Waurn Ponds, Australia

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Selwyn Piramuthu

    1. Information Systems and Operations Management (ISOM), University of Florida, Gainesville, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Presents research works in the field of smart data intelligence
  • Provides original works presented at ICSMDI 2022 held in Trichy, India, during April 2022
  • Serves as a reference for researchers and practitioners in academia and industry

Part of the book series: Algorithms for Intelligent Systems (AIS)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 229.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 299.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 299.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (49 papers)

  1. Front Matter

    Pages i-xvi
    Download chapter PDF

  2. Detection and Analysis of Sentiments on Twitter Using Machine Learning Algorithm

    • A. R. Sathyabama, P. V. Raja Suganya, C. M. Nalayini, K. Abirami
    Pages 1-10

  3. Malware Attack Detection on IoT Devices Using Machine Learning

    • Rathnakar Achary, Chetan J. Shelke
    Pages 11-22

  4. BeSafe: IoT-Based Safety Band

    • Ganesh Jambuka, Krishi Shah, Riddhi Shah, Anagha Aher
    Pages 23-32

  5. Stock Market Analysis and Forecasting with Statistical and Deep Learning Methods

    • A. Ghosh, G. N. Singh
    Pages 33-43

  6. The Paradigm Shift in Higher Education from Traditional Learning to Digitalization

    • Abdool Qaiyum Mohabuth
    Pages 45-52

  7. Designing a Socially Intelligent System by Cognitive Modeling of Human-Environment Interaction

    • Shamama Anwar, Afrin Alam, Md. Shahbaz Hussain
    Pages 53-63

  8. Web-Based Recycle Waste Management for E-commerce

    • Aska Daulika, Angel Filiony, Nabila Putri Agita, Siti Amirah, Harco Leslie Hendric Spits Warnars
    Pages 65-77

  9. Efficacy of TCP/IP Over ATM Architecture Using Network Slicing in 5G Environment

    • A. B. Pawar, M. A. Jawale, P. William, B. S. Sonawane
    Pages 79-93

  10. Malware Detection Using Machine Learning Techniques

    • Anne Yeswanth Sai, B. Neela Konda Reddy, K. Amarendra, N. Venkata Ramana Gupta
    Pages 95-107

  11. Empirical Asset Pricing via Deep Learning Algorithms

    • Tariqul Islam, Md. Ismail Jabiullah
    Pages 109-119

  12. Defense Against Adversarial Attacks Using Chained Dual-GAN Approach

    • Amitoj Bir Singh, Lalit Kumar Awasthi, Urvashi
    Pages 121-133

  13. Anomaly Detection System and Resolution of Anomalies for Firewall Policies

    • M. Vijay, R. Devika, B. S. Priyangha
    Pages 135-144

  14. A Survey on Traffic Sign Recognition, Pedestrian Detection Techniques, and Vehicle Detection Techniques for Autonomous Vehicles

    • Tejal Patil, Sonali Patil, Pawan Nirpal, Govind Madankar, Mahalakshmi Bodireddy
    Pages 145-158

  15. EctroS-ID: A Mobile Application for Power Management

    • Cintya Rahel, Eko Setyaji Marwono, Ignatius Andika Dwi Nugroho, Harco Leslie Hendric Spits Warnars
    Pages 159-172

  16. Cryptanalysis of RFID Mutual Authentication Protocol for IoT

    • Vikas Kumar, Rahul Kumar, Vinod Kumar, Adesh Kumari
    Pages 173-183

  17. NLP-Oriented Voice-Based Order Picking System in a Warehouse Management: A Systematic Review

    • I. Mohammed Musthafa Sheriff, D. John Aravindhar
    Pages 185-198

  18. Regular Expression-Based Text Classification Using mSVM and Machine Learning Techniques

    • Dinesh D. Puri, G. K. Patnaik
    Pages 199-210

  19. Authentication Using Typing Pattern

    • Shaurya Anand, Manisha Bharti
    Pages 211-223

  20. Deep Learning Aided Digitization of Indian Music Treatises

    • H. S. Karthikeya, A. Soumya
    Pages 225-232
Back to top

Keywords

About this book

This book presents high-quality research papers presented at 2nd International Conference on Smart Data Intelligence (ICSMDI 2022) organized by Kongunadu College of Engineering and Technology at Trichy, Tamil Nadu, India, during April 2022. This book brings out the new advances and research results in the fields of algorithmic design, data analysis, and implementation on various real-time applications. It discusses many emerging related fields like big data, data science, artificial intelligence, machine learning, and deep learning which have deployed a paradigm shift in various data-driven approaches that tends to evolve new data-driven research opportunities in various influential domains like social networks, healthcare, information, and communication applications.

Editors and Affiliations

  • Kongunadu College of Engineering and Technology, Tholurpatti, India

    R. Asokan

  • School of Information Technology and Telecommunications Engineering, University of Granada, Granada, Spain

    Diego P. Ruiz

  • Deakin University, Waurn Ponds, Australia

    Zubair A. Baig

  • Information Systems and Operations Management (ISOM), University of Florida, Gainesville, USA

    Selwyn Piramuthu

About the editors

R. Asokan received his B.E. degree in electronics and communication from Bharathiar University and M.S. degree in electronics and control from Birla Institute of Technology. He obtained M.Tech. degree in electronics and communication from Pondicherry Engineering College, with distinction. He obtained Ph.D. in information and communication engineering from Anna University, Chennai. He is currently the Principal, Kongunadu College of Engineering and Technology, Thottiyam, Tamil Nadu, India. He has published more than 65 papers in national and international journals and conferences. He has over 25 years of teaching experience. He is a member of various scientific and professional societies. His areas of interest include wireless networks, network security, and image processing.


Diego P. Ruiz received the M.S. and Ph.D. degrees in Physics from the University of Granada, Spain, in 1991 and 1995, respectively. He was a teacher in the University of Malaga in 1994–1995, and he is currently associate professor at the Faculty of Sciences of the University of Granada. He is also coordinator of courses in the open training classroom of the University of Granada. He is interested and participates in several commissions and projects for the assessment of teaching quality and teaching innovation, and collaborates in science dissemination activities through the Scientific Culture Unit of the University of Granada. His current research interests are environmental pollution and its modeling, especially acoustic and electromagnetic pollution, signal processing and energy efficiency in buildings. His main contributions have been in the development of signal processing algorithms for the automatic classification of radar objects, analysis, and modeling of data coming from physical agents (noise and vibrations), development of indoor air quality indices and new technologies for pollution control.


Zubair A. Baig is currently Senior Lecturer in Cyber Security with the School of Information Technology, Deakin University, Geelong, VIC, Australia. He is also Co-Director of the Security and Privacy in IoT (SPYRiT) Research Lab and Division Lead, IoT, Critical Infrastructure and CPS Security, Centre for Cyber Security Research and Innovation (CSRI). He has authored/co-authored over 85 journal and conference papers and book chapters. His research interests are in the areas of cyber-security, the IoT, artificial intelligence, and optimization algorithms. He is serving as Editor for the IET Wireless Sensor Systems Journal and PSU—A Review Journal. He has served on numerous technical program committees of international conferences and has delivered more than 15 keynote talks on cyber-security.


Selwyn Piramuthu is Professor of Information Systems at the University of Florida, where he has taught since Fall 1991. Trained in machine learning, his research interests also include cryptography with applications related to IoT/RFID, privacy/security, supply chain management, among others. His (co-authored with Wei Zhou) book titled, “RFID and Sensor Network Automation in the Food Industry” was published by Wiley in 2016. He received his B.Tech., M.S., and Ph.D., respectively, from IIT-Madras, University of Arizona, and University of Illinois at Urbana-Champaign.

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation