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Computing, Communication and Learning

Third International Conference, CoCoLe 2024, Warangal, India, September 13–15, 2024, Revised Selected Papers

  • Conference proceedings
  • © 2025

Overview

Editors:
  1. Sanjaya Kumar Panda

    1. National Institute of Technology, Warangal, India

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  2. Rajkumar Buyya

    1. The University of Melbourne, Melbourne, Australia

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  3. Rashmi Ranjan Rout

    1. National Institute of Technology, Warangal, India

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  4. Manjubala Bisi

    1. National Institute of Technology, Warangal, India

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  5. Sangharatna Godboley

    1. National Institute of Technology, Warangal, India

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  6. Kuan-Ching Li

    1. Providence University, Taichung, Taiwan

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  7. Ashish Ghosh

    1. Indian Statistical Institute, Kolkata, India

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 2317)

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Conference proceedings info: CoCoLe 2024.

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About this book

This book constitutes the refereed proceedings of the Third International Conference on Computing, Communication and Learning, CoCoLe 2024, held in Warangal, India, in September 2024.

The 24 full papers and 10 short papers presented here were carefully reviewed and selected from 149 submissions. These papers have been categorized under the following topical sections: Advancements in AI for Predictive Modeling, Quality Enhancement, and Real-Time Detection Across Various Domains; Machine Learning Advances in Medical Imaging, Agricultural Monitoring, and Multimedia Processing; Advancements in Privacy-Preservation and Intelligent Detection Systems for Federated Learning and Edge Computing.

Keywords

Table of contents (34 papers)

  1. Front Matter

    Pages i-xviii
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  2. Advancements in AI for Predictive Modeling, Quality Enhancement, and Real-Time Detection Across Various Domains

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Crude Oil Price Forecasting Using Hybridization of Optimized Deep Learning and Shallow Machine Learning Models

      • Sourav Kumar Purohit, Sibarama Panigrahi, Aditya Narayan Jena
      Pages 3-16

    3. Adam Lyrebird Optimization-Based DLSTM for Solar Irradiance Prediction Using Time Series Data

      • Vikas Gautam, Banalaxmi Brahma
      Pages 17-30

    4. Code Smell Detection Using Deep Learning Models to Enhance the Software Quality

      • Usha Kiran, Neelamadhab Padhy, Rasmita Panigrahi
      Pages 31-43

    5. Unveiling the Future of Agriculture: Transformative Impact of Advanced Deep Learning with Mobile App Technology for Plant Leaf Disease Detection

      • Asit Ghosh, Sunil Kumar Mohapatra, Pritam Pattanaik, Prasant Kumar Dash, Raj Kumar Mohanta
      Pages 44-59

    6. Air Quality Prediction Using Ensemble Learning

      • Sumit Kumar, Anjana Mishra, Himanshu Kumar Pandey, Utkarsh Kumar Tiwari, M. Harnisha
      Pages 60-72

    7. Real-Time Highway Accident Detection and Response with Deep Learning and Edge Caching

      • S. Thiruchadai Pandeeswari, B. Prasheeba, K. Suguneswari
      Pages 73-80

    8. Detection of Yoga Poses Using CNN and LSTM Models

      • Bheemanapalli Rukmini, Chaganti Sai Sushmini, Saubhagya Ranjan Biswal
      Pages 81-89

    9. Enhancing Rhetorical Role Identification in Legal Documents Using Large Language Models and IN_place Data Augmentation

      • Reshma Sheik, Chandrababu Namani, P. Prasanna, S. Jaya Nirmala
      Pages 90-100

    10. Persona-Driven Dialog Generation: Enhancing User Engagement Through Linguistic Proficiency and Personalization

      • A. Abhishek, R. Akhilesh, B. Swetha, V. Vindhya Vasini, T. Deepika
      Pages 101-114

    11. Design and Development of a Working Tool for Visual Speech and Speaker Recognition for Marathi and Gujarati Languages

      • Ramesh R. Naik, Jaiprakash Verma, Mohd Zuhair, Priya Mehta, Tisha Kotadia, Sunil Gautam
      Pages 115-125

    12. Analysis of Tracking Algorithms for Multi-person Tracking

      • M. Evany Anne, M. Brindha
      Pages 126-139

    13. Personalized Human Activity Recognition Using Smartphone Technology

      • M. Sindusha, V. Durga Pujitha, B. Lekhana, K. Revanth, Syed Shareefunnisa
      Pages 140-147

  3. Machine Learning Advances in Medical Imaging, Agricultural Monitoring, and Multimedia Processing

    1. Front Matter

      Pages 149-149
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    2. A Comprehensive Comparative Study of Breast Cancer Detection Using Machine Learning Techniques to Improve Diagnosis

      • Gopal Behera, Basanta Kumar Swain, Jitendra Parmar, Monalisha Sahu, Binayak Panda
      Pages 151-164

    3. Performance Improvement of Machine Learning Algorithms Through Information-Theoretic Class Based Feature Multicorrelation Enabled Feature Selection for Cervical Cancer Prediction

      • Kurman Sangeeta, Sumitra Kisan, Kalyana Kiran Kumar, Pradeep Kumar Mahapatro
      Pages 165-180

    4. Towards Robust Skin Cancer Diagnosis: Deep Fusion of VGG16 and MobileNet Features

      • Ambavarapu Harshini, Kanyadara Sathwika, Bandla Nikhitha, Puvvadi Vamsi, B. Suvarna, Uttej Kumar Nannapaneni
      Pages 181-189

    5. Deep Transfer Model Based Accurate Brain Tumor Classification in Magnetic Resonance Images

      • N. Keerthika, V. Kiruthika, E. Sathish, K. Darshinii, C. Antony Bacil, J. S. Aadhityaa
      Pages 190-204

    6. Pneumonia Detection from X-Ray Images Using Deep Transfer Learning

      • Sri Sahithya Vemuri, Sowmya Kotha, Sravya Voruganti, Praneeth Reddy Kunam, Annam Nandini, Tapas Kumar Mishra
      Pages 205-219
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Other volumes

  1. Computing, Communication and Learning

Editors and Affiliations

  • National Institute of Technology, Warangal, India

    Sanjaya Kumar Panda, Rashmi Ranjan Rout, Manjubala Bisi, Sangharatna Godboley

  • The University of Melbourne, Melbourne, Australia

    Rajkumar Buyya

  • Providence University, Taichung, Taiwan

    Kuan-Ching Li

  • Indian Statistical Institute, Kolkata, India

    Ashish Ghosh

Bibliographic Information

  • Book Title: Computing, Communication and Learning

  • Book Subtitle: Third International Conference, CoCoLe 2024, Warangal, India, September 13–15, 2024, Revised Selected Papers

  • Editors: Sanjaya Kumar Panda, Rajkumar Buyya, Rashmi Ranjan Rout, Manjubala Bisi, Sangharatna Godboley, Kuan-Ching Li, Ashish Ghosh

  • Series Title: Communications in Computer and Information Science

  • DOI: https://doi.org/10.1007/978-3-031-79041-6

  • 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 2025

  • Softcover ISBN: 978-3-031-79040-9Published: 01 February 2025

  • eBook ISBN: 978-3-031-79041-6Published: 31 January 2025

  • Series ISSN: 1865-0929

  • Series E-ISSN: 1865-0937

  • Edition Number: 1

  • Number of Pages: XVIII, 436

  • Number of Illustrations: 30 b/w illustrations, 184 illustrations in colour

  • Topics: Artificial Intelligence, Computer Systems Organization and Communication Networks, Computer Applications, Computing Milieux

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