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Computer, Communication, and Signal Processing

6th IFIP TC 5 International Conference, ICCCSP 2022, Chennai, India, February 24–25, 2022, Revised Selected Papers

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Erich J. Neuhold

    1. University of Vienna, Vienna, Austria

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  2. Xavier Fernando

    1. Ryerson University, Toronto, Canada

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  3. Joan Lu

    1. University of Huddersfield, Huddersfield, UK

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  4. Selwyn Piramuthu

    1. University of Florida, Gainesville, USA

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  5. Aravindan Chandrabose

    1. SSN College of Engineering, Kalavakkam, India

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Part of the book series: IFIP Advances in Information and Communication Technology (IFIPAICT, volume 651)

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Conference proceedings info: ICCCSP 2022.

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About this book

This book constitutes the refereed proceedings of the 6th International Conference on Computer, Communication, and Signal Processing, ICCSP 2022, held in Chennai, India, in February 2022.*


The 21 full and 2 short papers presented in this volume were carefully reviewed and selected from 111 submissions. The papers are categorized into topical sub-headings: artificial intelligence and machine learning; Cyber security; and internet of things.


*The conference was held as a virtual event due to the COVID-19 pandemic. 

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Table of contents (23 papers)

  1. Front Matter

    Pages i-xiii
    Download chapter PDF

  2. Artificial Intelligence and Machine Learning

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Malayalam Language Textual Inference Identification Through Attention over Embeddings

      • Sara Renjit, Sumam Mary Idicula
      Pages 3-11

    3. Early Prognosis of Preeclampsia Using Machine Learning

      • E. Sivaram, G. Vadivu, K. Sangeetha, Vijayan Sugumaran
      Pages 12-19

    4. Predicting Students’ Satisfaction Towards Online Courses Using Aspect-Based Sentiment Analysis

      • J. Melba Rosalind, S. Suguna
      Pages 20-35

    5. A Survey on DL Based Frameworks for COVID-19 Radiological Diagnosis

      • J. Kishan, G. Kalaichelvi, R. Surendiran, Bhadru Amgothu
      Pages 36-45

    6. Impact of Chronic Lung Disease Using Deep Learning: A Survey

      • N. Vignesh Kumaran, D. M. D. Preethi
      Pages 46-59

    7. Detection and Classification of Paddy Leaf Diseases Using Deep Learning (CNN)

      • S. Maheswaran, S. Sathesh, P. Rithika, I. Mohammed Shafiq, S. Nandita, R. D. Gomathi
      Pages 60-74

    8. Converting Nebulous Ideas to Reality – A Deep Learning Tool for Conditional Synthesis of Character Designs

      • Lilian Guo, Anand Bhojan
      Pages 75-89

    9. Long-Text-to-Video-GAN

      • Ayman Talkani, Anand Bhojan
      Pages 90-97

    10. Intelligent System for Diagnosis of Herbs Disease Using Deep Learning

      • Rabindra Kumar Singh, B. V. A. N. S. Prabhakar Rao, M. Sivabalakrishnan, M. Shiny Pidugu
      Pages 98-115

    11. Fashion Image Classification Using Deep Convolution Neural Network

      • M. S. Saranya, P. Geetha
      Pages 116-127

    12. Performance Analysis of Adaptive Variable Exponent Based Total Variation Image Regularization Algorithm

      • V. Kamalaveni, S. Veni, K. A. Narayanankuttty
      Pages 128-150

    13. Automated Annotation and Classification of Catheters in Chest X-Rays

      • Akash Karthikeyan, Saravana Perumaal Subramanian
      Pages 151-162

    14. A Comprehensive Survey on Community Deception Approaches in Social Networks

      • N. Kalaichelvi, K. S. Easwarakumar
      Pages 163-173

    15. COV-XDCNN: Deep Learning Model with External Filter for Detecting COVID-19 on Chest X-Rays

      • Arnab Dey
      Pages 174-189

  3. Cyber Security

    1. Front Matter

      Pages 191-191
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    2. Trust Aware Secure Routing Model in MANET: Self-improved Particle Swarm Optimization for Optimal Route Selection

      • S. Haridas, A. Rama Prasath
      Pages 193-212

    3. Emulation and Analysis of Software-Defined Networks for the Detection of DDoS Attacks

      • Sanjana Prasad, Ashwani Prasad, Karmel Arockiasamy, Xiaohui Yuan
      Pages 213-231

    4. Collision Elimination for Random Behavior Nodes in Ad Hoc Wireless Network Using Early Backoff Announcement (EBA)

      • D. Prabhu, T. Anitha, G. Logeswari, S. Bose, P. Venkatasubramani
      Pages 232-245
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Other volumes

  1. Computer, Communication, and Signal Processing

Editors and Affiliations

  • University of Vienna, Vienna, Austria

    Erich J. Neuhold

  • Ryerson University, Toronto, Canada

    Xavier Fernando

  • University of Huddersfield, Huddersfield, UK

    Joan Lu

  • University of Florida, Gainesville, USA

    Selwyn Piramuthu

  • SSN College of Engineering, Kalavakkam, India

    Aravindan Chandrabose

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