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  • Conference proceedings
  • © 2022

Smart Data Intelligence

Proceedings of ICSMDI 2022

  • 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)

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eBook USD 219.00
Price excludes VAT (USA)
  • ISBN: 978-981-19-3311-0
  • 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)

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Table of contents (49 papers)

  1. Front Matter

    Pages i-xvi
  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. 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
  6. 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
  7. Malware Detection Using Machine Learning Techniques

    • Anne Yeswanth Sai, B. Neela Konda Reddy, K. Amarendra, N. Venkata Ramana Gupta
    Pages 95-107
  8. Empirical Asset Pricing via Deep Learning Algorithms

    • Tariqul Islam, Md. Ismail Jabiullah
    Pages 109-119
  9. Defense Against Adversarial Attacks Using Chained Dual-GAN Approach

    • Amitoj Bir Singh, Lalit Kumar Awasthi, Urvashi
    Pages 121-133
  10. Anomaly Detection System and Resolution of Anomalies for Firewall Policies

    • M. Vijay, R. Devika, B. S. Priyangha
    Pages 135-144
  11. 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
  12. 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
  13. Cryptanalysis of RFID Mutual Authentication Protocol for IoT

    • Vikas Kumar, Rahul Kumar, Vinod Kumar, Adesh Kumari
    Pages 173-183
  14. NLP-Oriented Voice-Based Order Picking System in a Warehouse Management: A Systematic Review

    • I. Mohammed Musthafa Sheriff, D. John Aravindhar
    Pages 185-198
  15. Authentication Using Typing Pattern

    • Shaurya Anand, Manisha Bharti
    Pages 211-223
  16. Deep Learning Aided Digitization of Indian Music Treatises

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

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.

Keywords

  • Data-driven Services
  • Data Mining Tools
  • Multimedia Data Analysis
  • Intelligent Data Analysis
  • Evolutionary Computation
  • Big Data Analytics
  • Data Mining and Knowledge Discovery
  • Computational Intelligence
  • Artificial Neural Network
  • ICSMDI 2022 Proceedings

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

Buying options

eBook USD 219.00
Price excludes VAT (USA)
  • ISBN: 978-981-19-3311-0
  • 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)