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Artificial Intelligence: Theory and Applications

Proceedings of AITA 2023, Volume 2

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Harish Sharma

    1. Department of Computer Science and Engineering, Rajasthan Technical University, Kota, India

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  2. Antorweep Chakravorty

    1. Department of Computer Science and Electrical Engineering, University of Stavanger, Stavanger, Norway

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  3. Shahid Hussain

    1. Biomedical Robotics, Information, Technology (IT) and Systems, University of Canberra, Bruce, Australia

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  4. Rajani Kumari

    1. IBS, Bangalore, Off-Campus Centre of ICFAI Foundation for Higher Education (IFHE) University, Bengaluru, India

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  • Presents high-quality research in the areas of artificial intelligence and its applications
  • Features the outcomes of AITA 2023, held in Bengaluru, India
  • Serves as a reference resource for researchers and practitioners in academia and industry

Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 844)

Included in the following conference series:

Conference proceedings info: AITA 2023.

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About this book

This book features a collection of high-quality research papers presented at International Conference on Artificial Intelligence: Theory and Applications (AITA 2023), held during 11–12 August 2023 in Bengaluru, India. The book is divided into two volumes and presents original research and review papers related to artificial intelligence and its applications in various domains including health care, finance, transportation, education, and many more.

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Table of contents (38 papers)

  1. Front Matter

    Pages i-xviii
    Download chapter PDF

  2. Spam Email Image Detection Using Convolution Neural Network and Convolutional Block Attention Module

    • Md Asif Jamal, Pradeep Kumar
    Pages 1-13

  3. Identifying Fake Twitter Trends with Deep Learning

    • Thahab M. AlBuhairi, Haya A. Alhakbani
    Pages 15-27

  4. An Intelligent Agent Framework for Resilient Deployment in the Internet of Things Environment

    • Nainsi Soni, Saurabh Kumar
    Pages 29-40

  5. The Impact of Financial Ratios and Pandemic on Firm Performance: An Indian Economic Study

    • Manpreet Kaur Khurana, Shweta Sharma, Navneet Bhargava
    Pages 41-51

  6. An Enhanced BERT Model for Depression Detection on Social Media Posts

    • R. Nareshkumar, K. Nimala
    Pages 53-64

  7. Quality Prediction of a Stack Overflow Question Using Machine Learning

    • Tanvi Mehta, Samruddhi Multaikar, Srushti Patil, Namrata Gawande
    Pages 65-80

  8. Decision-Making Framework for Supplier Selection Using an Integrated Approach of Dempster–Shafer Theory and Maximum Entropy Principle

    • Garima Bisht, A. K. Pal
    Pages 81-93

  9. Improved Accuracy of Robotic Arm Using Virtual Environment

    • Utkarsh Rastogi, Javed Sayyad, B. T. Ramesh, Arunkumar Bongale
    Pages 95-108

  10. Human Activity Recognition a Comparison Between Residual Neural Network and Recurrent Neural Network

    • K. P. Anu, J. V. Bibal Benifa
    Pages 109-123

  11. Using AI Planning to Automate Cloud Infrastructure

    • Vijay Prakash, Leonardo Freitas, Lalit Garg, Pardeep Singh
    Pages 125-137

  12. Using Historical Trip Information to Determine the Waiting Time Required for Taxi Services

    • Michael Vassallo, Vijay Prakash, Lalit Garg, Pardeep Singh
    Pages 139-152

  13. The Impact of Cesarean Section Trends and Associated Complications in the Current World: A Comprehensive Analysis Using Machine Learning Techniques

    • K. Mallikharjuna Rao, Harleen Kaur, Sanjam Kaur Bedi
    Pages 153-171

  14. Novel Hybrid Methods for Journal Article Summarization Combining Graph Method and Rough Set TFIDF Method with Pegasus Model

    • K. Sheena Kurian, Sheena Mathew
    Pages 173-190

  15. Differential Evolution Wrapper-Based Feature Selection Method for Stroke Prediction

    • Santwana Gudadhe, Anuradha Thakare
    Pages 191-200

  16. Parkinson’s Disease Identification from Speech Signals Using Machine Learning Models

    • Rahul Saxena, J. Andrew
    Pages 201-213

  17. Performance Analysis of Deep CNN, YOLO, and LeNet for Handwritten Digit Classification

    • Jibok Sarmah, Madan Lal Saini, Ankush Kumar, Vidhan Chasta
    Pages 215-227

  18. Data-Driven Decision Support Systems in E-Governance: Leveraging AI for Policymaking

    • Anudeep Arora, Prashant Vats, Neha Tomer, Ranjeeta Kaur, Ashok Kumar Saini, Sayar Singh Shekhawat et al.
    Pages 229-243

  19. The Infrastructure Development of Contemporary Medical Devices Based on Internet of Things Technology

    • Haider Al-Kanan, Ahmed S. Alzuhairi
    Pages 245-257

  20. Business Intelligence System Adoption Project in the Area of Investments in Financial Assets

    • Beata DratwiÅ„ska-Kania, Aleksandra Ferens
    Pages 259-273
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Other volumes

  1. Artificial Intelligence: Theory and Applications

  2. Artificial Intelligence: Theory and Applications

Editors and Affiliations

  • Department of Computer Science and Engineering, Rajasthan Technical University, Kota, India

    Harish Sharma

  • Department of Computer Science and Electrical Engineering, University of Stavanger, Stavanger, Norway

    Antorweep Chakravorty

  • Biomedical Robotics, Information, Technology (IT) and Systems, University of Canberra, Bruce, Australia

    Shahid Hussain

  • IBS, Bangalore, Off-Campus Centre of ICFAI Foundation for Higher Education (IFHE) University, Bengaluru, India

    Rajani Kumari

About the editors

Harish Sharma is an associate professor at Rajasthan Technical University, Kota, in Department of Computer Science & Engineering. He has worked at Vardhaman Mahaveer Open University, Kota, and Government Engineering College Jhalawar. He received his B.Tech. and M.Tech. degrees in Computer Engineering from Government Engineering College, Kota, and Rajasthan Technical University, Kota, in 2003 and 2009, respectively. He obtained his Ph.D. from ABV-Indian Institute of Information Technology and Management, Gwalior, India. He is the secretary and one of the founder members of Soft Computing Research Society of India. He is a lifetime member of Cryptology Research Society of India, ISI, Kolkata. He is an associate editor of International Journal of Swarm Intelligence (IJSI) published by Inderscience. He has also edited special issues of the many reputed journals like Memetic Computing, Journal of Experimental and Theoretical Artificial Intelligence, Evolutionary Intelligence, etc. His primary area of interest is nature inspired optimization techniques. He has contributed in more than 105 papers published in various international journals and conferences.

Dr. Antorweep Chakravorty is an associate professor at the University of Stavanger. His current research and development work is in the field of applied Blockchains, Big Data, Large-Scale Machine Learning, and Data Privacy. He has an interest in real-world problems, especially development of privacy enabled data-driven services in smart energy, health care, and smart city domains. Antorweep completed his Ph.D. in 2015 with a thesis on Privacy Preserving Big Data Analytics at the University of Stavanger, Norway. Along with having a background in applied research in data-driven solutions, he is also involved in mentoring, teaching, and supervision.

Dr. Shahid Hussain is working at University of Canberra as an associate professor of Biomedical Robotics. Prior to that, he has worked as a lecturer at University of Wollongong, Australia. Dr. Hussain has obtained his Ph.D. in Mechanical Engineering from the University of Auckland, New Zealand, in 2013. His research interests include assistive and rehabilitation robotics, compliant actuation of robots, robot mechanism design and optimization, nonlinear dynamics and control of robotic systems, human–robot interaction, biomechanical modeling, engineering education, and micro-electro-mechanical systems (MEMS). Dr. Hussain has published more than 65 papers in the prestigious journals of the field.

Dr. Rajani Kumari is currently an assistant professor at IBS, Bangalore, Off-Campus Centre of ICFAI Foundation for Higher Education (IFHE) University, India. Previously she was an assistant professor at IIIM, Jaipur, and St. Xavier’s College Jaipur, CHRIST University. She received the Ph.D. degree in computer science in 2015, the M.C.A. and B.C.A. from University of Rajasthan in 2010 and 2006, respectively. She has published more than forty research papers in various international journals/conferences and participated in many national and international conferences and workshops. She edited some special issue in Taylor & Francis and Inderscience journals including Journal of Information and Optimization Sciences (JIOS) and International Journal of Intelligent Information and Database Systems (IJIIDS). Her research interests include Nature-Inspired Algorithms, Swarm Intelligence, Soft Computing, and Computational Intelligence.

Bibliographic Information

  • Book Title: Artificial Intelligence: Theory and Applications

  • Book Subtitle: Proceedings of AITA 2023, Volume 2

  • Editors: Harish Sharma, Antorweep Chakravorty, Shahid Hussain, Rajani Kumari

  • Series Title: Lecture Notes in Networks and Systems

  • DOI: https://doi.org/10.1007/978-981-99-8479-4

  • Publisher: Springer Singapore

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024

  • Softcover ISBN: 978-981-99-8478-7Published: 03 January 2024

  • eBook ISBN: 978-981-99-8479-4Published: 02 January 2024

  • Series ISSN: 2367-3370

  • Series E-ISSN: 2367-3389

  • Edition Number: 1

  • Number of Pages: XVIII, 532

  • Number of Illustrations: 30 b/w illustrations, 169 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence, Big Data

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