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Multi-disciplinary Trends in Artificial Intelligence

16th International Conference, MIWAI 2023, Hyderabad, India, July 21–22, 2023, Proceedings

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Raghava Morusupalli

    1. CVR College of Engineering, Hyberabad, India

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  2. Teja Santosh Dandibhotla

    1. CVR College of Engineering, Hyderabad, India

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  3. Vani Vathsala Atluri

    1. CVR College of Engineering, Hyderabad, India

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  4. David Windridge

    1. Middlesex University, London, UK

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  5. Pawan Lingras

    1. Saint Mary's University, Halifax, Canada

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  6. Venkateswara Rao Komati

    1. CVR College of Engineering, Hyderabad, India

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14078)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: MIWAI 2023.

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Table of contents (72 papers)

  1. Front Matter

    Pages i-xxi
    Download chapter PDF

  2. Digital Life: An Advent of Transhumanism

    • Hrushikesha Mohanty
    Pages 1-24

  3. Heuristics for K-Independent Average Traveling Salesperson Problem

    • Sebanti Majumder, Alok Singh
    Pages 25-35

  4. Book Recommendation Using Double-Stack BERT: Utilizing BERT to Extract Sentence Relation Feature for a Content-Based Filtering System

    • Derwin Suhartono, Adhella Subalie
    Pages 36-47

  5. Evaluating the Utility of GAN Generated Synthetic Tabular Data for Class Balancing and Low Resource Settings

    • Nagarjuna Venkata Chereddy, Bharath Kumar Bolla
    Pages 48-59

  6. How Good are Transformers in Reordering?

    • Ch. Ram Anirudh, Narayana Murthy Kavi
    Pages 60-67

  7. Automatic Differentiation Using Dual Numbers - Use Case

    • R. Anand Krishna, R. V. S. Krishna Dutt, P. Premchand
    Pages 68-78

  8. On Some Properties of a New PoisN Wavelet Family

    • M. Shravani, D. Sudheer Reddy, B. Krishna Reddy
    Pages 79-90

  9. Centrality Measures Based Heuristics for Perfect Awareness Problem in Social Networks

    • Rahul Kumar Gautam, Anjeneya Swami Kare, S. Durga Bhavani
    Pages 91-100

  10. Re-examining Class Selectivity in Deep Convolutional Networks

    • Akshay Badola, Vineet Padmanabhan, Rajendra Prasad Lal
    Pages 101-111

  11. Content Based Network Representational Learning for Movie Recommendation (CNMovieRec)

    • Nageswar Rao Kota, Vineet Padmanabhan, Wilson Naik Bhukya
    Pages 112-123

  12. Parallel and Distributed Query Processing in Attributed Networks

    • A. Sandhya Rani, K. Swarupa Rani
    Pages 124-134

  13. Gradient Directional Predictor for Reconstructing High-Fidelity Images

    • Ravi Uyyala, Jyothirmai Joshi
    Pages 135-146

  14. We Chased COVID-19; Did We Forget Measles? - Public Discourse and Sentiment Analysis on Spiking Measles Cases Using Natural Language Processing

    • V. S. Anoop, Jose Thekkiniath, Usharani Hareesh Govindarajan
    Pages 147-158

  15. Swarm Learning for Oncology Research

    • H. S. Shashank, Anirudh B. Sathyanarayana, Aniruddh Acharya, M. R. Akhil., Sujatha R. Upadhyaya
    Pages 159-168

  16. A Review on Designing of Memory Computing Architecture for Image Enhancement in AI Applications

    • C. Radhika, G. V. Ganesh, P. Ashok Babu
    Pages 169-178

  17. Shufflenetv2: An Effective Technique for Recommendation System in E-Learning by User Preferences

    • Dudla Anil Kumar, M. Ezhilarasan
    Pages 179-191

  18. A Multi-modal Approach Using Game Theory for Android Forensics Tool Selection

    • Mahpara Yasmin Mohd Minhaz Alam, Wilson Naik
    Pages 192-202

  19. LPCD: Incremental Approach for Dynamic Networks

    • Ashwitha Gatadi, K. Swarupa Rani
    Pages 203-213

  20. Clinical Abbreviation Disambiguation Using Clinical Variants of BERT

    • Atharwa Wagh, Manju Khanna
    Pages 214-224
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  1. Multi-disciplinary Trends in Artificial Intelligence

Keywords

About this book

The 47 full papers and 24 short papers included in this book were carefully reviewed and selected from 245 submissions. These articles cater to the most contemporary and happening topics in the fields of AI that range from Intelligent Recommendation Systems, Game Theory, Computer Vision, Reinforcement Learning, Social Networks, and Generative AI to Conversational and Large Language Models. 

They are organized into four areas of research: Theoretical contributions, Cognitive Computing models, Computational Intelligence based algorithms, and AI Applications. 

Editors and Affiliations

  • CVR College of Engineering, Hyberabad, India

    Raghava Morusupalli

  • CVR College of Engineering, Hyderabad, India

    Teja Santosh Dandibhotla, Vani Vathsala Atluri, Venkateswara Rao Komati

  • Middlesex University, London, UK

    David Windridge

  • Saint Mary's University, Halifax, Canada

    Pawan Lingras

Bibliographic Information

  • Book Title: Multi-disciplinary Trends in Artificial Intelligence

  • Book Subtitle: 16th International Conference, MIWAI 2023, Hyderabad, India, July 21–22, 2023, Proceedings

  • Editors: Raghava Morusupalli, Teja Santosh Dandibhotla, Vani Vathsala Atluri, David Windridge, Pawan Lingras, Venkateswara Rao Komati

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-36402-0

  • Publisher: Springer Cham

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

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Softcover ISBN: 978-3-031-36401-3Published: 24 June 2023

  • eBook ISBN: 978-3-031-36402-0Published: 23 June 2023

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXI, 789

  • Number of Illustrations: 82 b/w illustrations, 308 illustrations in colour

  • Topics: Artificial Intelligence

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