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Artificial Intelligence and Technologies

Select Proceedings of ICRTAC-AIT 2020

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Rajeev R. Raje

    1. School of Science, Computer and Information Science, Indiana University–Purdue University, Indianapolis, USA

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  2. Farookh Hussain

    1. University of Technology Sydney, Sydney, Australia

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  3. R. Jagadeesh Kannan

    1. School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India

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  • Comprises of peer-reviewed papers presented during ICRTAC-AIT 2020
  • Includes contributions from academia, and industry in artificial intelligence and related technologies
  • Serves as a valuable reference resource for academics and researchers across the globe

Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 806)

Included in the following conference series:

Conference proceedings info: ICRTAC 2020.

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Table of contents (61 papers)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. Design of Automatic Credit Card Approval System Using Machine Learning

    • S. Hemkiran, G. Sudha Sadasivam, A. Prasanna Rahavendra, A. K. Anjhanna
    Pages 1-9

  3. A MIMO-Based Compatible Fuzzy Logic Controller for DFIG-Based Wind Turbine Generator

    • K. Sudarsana Reddy, R. Mahalakshmi
    Pages 11-27

  4. Robotic Process Automation

    • Raj Choudhary, A. Karmel
    Pages 29-36

  5. Automatic Road Surface Crack Detection Using Deep Learning Techniques

    • S. Aravindkumar, P. Varalakshmi, Chindhu Alagappan
    Pages 37-44

  6. Hand Signs Recognition from Cellphone Camera Captured Images for Deaf-Mute Persons

    • Asif Irfanullah Masum, Ayatullah Faruk Mollah
    Pages 45-52

  7. Prediction of In-Cylinder Swirl in a Compression Ignition Engine with Vortex Tube Using Artificial and Recurrent Neural Networks

    • Manimaran Renganathan
    Pages 53-62

  8. Recent Trends and Study on Perspective Crowd Counting in Smart Environments

    • Vasupalli Jaswanth, Arun Reddy Yeduguru, Vura Seetha Manoj, K. Deepak, S. Chandrakala
    Pages 63-72

  9. Short-Term Load Forecasting Using Random Forest with Entropy-Based Feature Selection

    • Siva Sankari Subbiah, Jayakumar Chinnappan
    Pages 73-80

  10. Depth Comparison of Objects in 2D Images Using Mask RCNN

    • Himanshu Singh, V. B. Kirubanand
    Pages 81-88

  11. Ensemble Methods with Bidirectional Feature Elimination for Prediction and Analysis of Employee Attrition Rate During COVID-19 Pandemic

    • Yash Mate, Atharva Potdar, R. L. Priya
    Pages 89-101

  12. Face Recognition with Mask Using MTCNN and FaceNet

    • Abhishek Sunil Tiwari, Prajul Gupta, Aanya Jain, Hari Vilas Panjwani, G. Malathi
    Pages 103-109

  13. Speech Audio Cardinal Emotion Sentiment Detection and Prediction Using Deep Learning Approach

    • Sachit Bhardwaj, Akhilesh Kumar Sharma
    Pages 111-121

  14. Comparative Investigation on Acoustic Attributes of Healthy Young Adults

    • V. Prarthana Karunaimathi, D. Gladis, D. Balakrishnan
    Pages 123-133

  15. Constraint-Based Parallel Clustering with Optimized Feature Selection for SDN-Enabled Traffic Anomaly Detection and Mitigation

    • T. Vadivu, B. Sumathi
    Pages 135-144

  16. Predictive Policing—Are Ensemble Methods More Accurate Than Regression Methods?

    • Ronit Kathuria, Vinish Kathuria
    Pages 145-152

  17. A Fast Method for Retinal Disease Classification from OCT Images Using Depthwise Separable Convolution

    • S. Meenu Mohan, S. Aji
    Pages 153-163

  18. Machine Learning-Based Smart Surveillance and Intrusion Detection System for National Geographic Borders

    • Mrinal Sharma, C. R. S. Kumar
    Pages 165-176

  19. Real-Time Big Data Analysis Using Web Scraping in Apache Spark Environment: Case Study—Mobile Data Analysis from Flipkart

    • Pushpita Ganguly, Giriraj Parihar, M. Sivagami
    Pages 177-185

  20. Future Frame Prediction Using Deep Learning

    • Siddharth Itagi, Sinchana Gowda, Tanmaya Udupa, S. S. Shylaja
    Pages 187-199
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Keywords

About this book

This book constitutes refereed proceedings of the 3rd International Conference on Recent Trends in Advanced Computing - Artificial Intelligence and Technologies. This book covers a wide range of topics—vision, analytics, robotics, networking, health care, current pandemic issues of COVID-19, and cutting-edge technologies connected to cybersecurity in digital manufacturing and Industry 4.0. The contents of this book will be useful to researchers from industry and academia. The volume includes novel contributions and the latest developments from researchers across industry and academia. The book will serve as a valuable reference resource for academics and researchers across the globe.


Editors and Affiliations

  • School of Science, Computer and Information Science, Indiana University–Purdue University, Indianapolis, USA

    Rajeev R. Raje

  • University of Technology Sydney, Sydney, Australia

    Farookh Hussain

  • School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India

    R. Jagadeesh Kannan

About the editors

Rajeev R. Raje is a Professor in the Department of Computer and Information Science (CIS) and is an Associate Dean in the School of Science at Indiana University-Purdue University Indianapolis (IUPUI). Dr. Raje’s research interests are in distributed and service-oriented software systems, programming languages, and software engineering. Dr. Raje has authored over 140 publications. Dr. Raje is a Senior Member of the ACM and IEEE, and he also co-directs the software engineering and distributed systems group in the CIS department.

Farookh Hussain is a Professor in the School of Computer Science, University of Technology, Sydney, Australia, and is currently serving as Head of Software Engineering. Dr. Hussain is an Associate Member of the Advanced Analytics Institute and a Core Member of the Australian Artificial Intelligence Institute. He has written various books and chapters and has published widely in journals too. Dr. Hussain has over 500 papers in various international journals and conferences. He has completed over 50 funded projects for the government and various private organizations.

R. Jagadeesh Kannan is Professor and Dean of the School of Computer Science and Engineering at Vellore Institute of Technology, India. He completed his Ph.D. in Handwritten Character Recognition using Hybrid Techniques from Anna University, Chennai, India. He got his M.E. degree in Computer Science and Engineering from National Engineering College, Tamil Nadu, and B.E. in Instrumentation and Control Engineering from Madurai Kamaraj University, Tamil Nadu, India. Prof. Kannan has over 18 years of teaching and industrial experience in reputed organizations. Prof. Kannan has got several publications inconference proceedings and journals of national and international repute. His research interests are neural networks, fuzzy logic, neuro-fuzzy systems, soft computing tools, pattern recognition, natural language processing, image processing, networking, printed, handwritten and cursive character recognition, and artificial intelligence.

Bibliographic Information

  • Book Title: Artificial Intelligence and Technologies

  • Book Subtitle: Select Proceedings of ICRTAC-AIT 2020

  • Editors: Rajeev R. Raje, Farookh Hussain, R. Jagadeesh Kannan

  • Series Title: Lecture Notes in Electrical Engineering

  • DOI: https://doi.org/10.1007/978-981-16-6448-9

  • Publisher: Springer Singapore

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022

  • Hardcover ISBN: 978-981-16-6447-2Published: 17 December 2021

  • Softcover ISBN: 978-981-16-6450-2Published: 18 December 2022

  • eBook ISBN: 978-981-16-6448-9Published: 16 December 2021

  • Series ISSN: 1876-1100

  • Series E-ISSN: 1876-1119

  • Edition Number: 1

  • Number of Pages: XI, 671

  • Number of Illustrations: 142 b/w illustrations, 215 illustrations in colour

  • Topics: Artificial Intelligence, Machine Learning, Computer Applications, Computer Systems Organization and Communication Networks

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