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Big Data and Artificial Intelligence

11th International Conference, BDA 2023, Delhi, India, December 7–9, 2023, Proceedings

  • Conference proceedings
  • © 2023

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Editors:
  1. Vikram Goyal

    1. Indraprastha Institute of Information Technology, Delhi, India

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  2. Naveen Kumar

    1. University of Delhi, Delhi, India

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  3. Sourav S. Bhowmick

    1. Nanyang Technological University, Singapore, Singapore

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  4. Pawan Goyal

    1. Indian Institute of Technology, Kharagpur, India

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  5. Navneet Goyal

    1. Birla Institute of Technology and Science, Pilani, India

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  6. Dhruv Kumar

    1. Indraprastha Institute of Information Technology, Delhi, India

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14418)

Included in the following conference series:

Conference proceedings info: BDA 2023.

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About this book

This book constitutes the proceedings of the 11th International Conference on Big Data and Artificial Intelligence, BDA 2023, held in Delhi, India, during December 7–9, 2023.


The17 full papers presented in this volume were carefully reviewed and selected from 67 submissions. The papers are organized in the following topical sections: ​Keynote Lectures, Artificial Intelligence in Healthcare, Large Language Models, Data Analytics for Low Resource Domains, Artificial Intelligence for Innovative Applications and Potpourri.

 

Keywords

Table of contents (17 papers)

  1. Front Matter

    Pages i-xviii
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  2. Artificial Intelligence in Healthcare

    1. Front Matter

      Pages 1-1
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    2. Tuberculosis Disease Diagnosis Using Controlled Super Resolution

      • P. V. Yeswanth, Kunal Vijay Thool, S. Deivalakshmi
      Pages 3-15

    3. GREAT AI in Medical Appropriateness and Value-Based-Care

      • V Dinesh Datta, Sakthi Ganesh, Roland E. Haas, Asoke K. Talukder
      Pages 16-33

  3. Large Language Models

    1. Front Matter

      Pages 35-35
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    2. KG-CTG: Citation Generation Through Knowledge Graph-Guided Large Language Models

      • Avinash Anand, Mohit Gupta, Kritarth Prasad, Ujjwal Goel, Naman Lal, Astha Verma et al.
      Pages 37-49

    3. SciPhyRAG - Retrieval Augmentation to Improve LLMs on Physics Q &A

      • Avinash Anand, Arnav Goel, Medha Hira, Snehal Buldeo, Jatin Kumar, Astha Verma et al.
      Pages 50-63

    4. Revolutionizing High School Physics Education: A Novel Dataset

      • Avinash Anand, Krishnasai Addala, Kabir Baghel, Arnav Goel, Medha Hira, Rushali Gupta et al.
      Pages 64-79

    5. Context-Enhanced Language Models for Generating Multi-paper Citations

      • Avinash Anand, Kritarth Prasad, Ujjwal Goel, Mohit Gupta, Naman Lal, Astha Verma et al.
      Pages 80-94

    6. GEC-DCL: Grammatical Error Correction Model with Dynamic Context Learning for Paragraphs and Scholarly Papers

      • Avinash Anand, Atharv Jairath, Naman Lal, Siddhesh Bangar, Jagriti Sikka, Astha Verma et al.
      Pages 95-110

  4. Data Analytics for Low Resource Domains

    1. Front Matter

      Pages 111-111
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    2. A Deep Learning Emotion Classification Framework for Low Resource Languages

      • Manisha, William Clifford, Eugene McLaughlin, Paul Stynes
      Pages 113-121

    3. Assessing the Efficacy of Synthetic Data for Enhancing Machine Translation Models in Low Resource Domains

      • Shweta Yadav
      Pages 122-132

  5. Artificial Intelligence for Innovative Applications

    1. Front Matter

      Pages 133-133
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    2. Evaluation of Hybrid Quantum Approximate Inference Methods on Bayesian Networks

      • Padmil Nayak, Karthick Seshadri
      Pages 135-149

    3. IndoorGNN: A Graph Neural Network Based Approach for Indoor Localization Using WiFi RSSI

      • Rahul Vishwakarma, Rucha Bhalchandra Joshi, Subhankar Mishra
      Pages 150-165

    4. Ensemble-Based Road Surface Crack Detection: A Comprehensive Approach

      • Rajendra Kumar Roul, Navpreet, Jajati Keshari Sahoo
      Pages 166-184

  6. Potpourri

    1. Front Matter

      Pages 185-185
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    2. Fast Similarity Search in Large-Scale Iris Databases Using High-Dimensional Hashing

      • Abhishek Pratap Singh, Debanjan Sadhya, Santosh Singh Rathore
      Pages 187-200

    3. Explaining Finetuned Transformers on Hate Speech Predictions Using Layerwise Relevance Propagation

      • Ritwik Mishra, Ajeet Yadav, Rajiv Ratn Shah, Ponnurangam Kumaraguru
      Pages 201-214
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Other volumes

  1. Big Data and Artificial Intelligence

Editors and Affiliations

  • Indraprastha Institute of Information Technology, Delhi, India

    Vikram Goyal, Dhruv Kumar

  • University of Delhi, Delhi, India

    Naveen Kumar

  • Nanyang Technological University, Singapore, Singapore

    Sourav S. Bhowmick

  • Indian Institute of Technology, Kharagpur, India

    Pawan Goyal

  • Birla Institute of Technology and Science, Pilani, India

    Navneet Goyal

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