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Proceedings of the 14th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2022)

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Ajith Abraham

    1. Faculty of Computing and Data Science, FLAME University, Pune, India

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  2. Thomas Hanne

    1. University of Applied Sciences and Arts Northwestern Switzerland, Olten, Switzerland

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  3. Niketa Gandhi

    1. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs, Auburn, USA

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  4. Pooja Manghirmalani Mishra

    1. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs, Mala, India

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  5. Anu Bajaj

    1. Computer Science and Engineering Department, Thapar Institute of Engineering and Technology, Patiala, India

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  6. Patrick Siarry

    1. Université Paris-Est Créteil, Créteil, France

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  • Presents the latest research on soft computing and pattern recognition
  • Provides proceedings of the 14th International Conference on Soft Computing and Pattern Recognition
  • Written by experts in the field

Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 648)

Included in the following conference series:

Conference proceedings info: SoCPaR 2022.

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Table of contents (88 papers)

  1. Front Matter

    Pages i-xviii
    Download chapter PDF

  2. Soft Computing and Pattern Recognition

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Multiple Vehicle Tracking Using Meanshift Algorithm and 8-point Connectivity

      • Prabha Nissimagoudar, Nihal Algur, Nikhil Bonageri, Apeksha Chavan, Abhishek Koppa, Nalini C. Iyer
      Pages 3-13

    3. Sexism Classification in Social Media Using Machine Learning Algorithms

      • B. Karthikeyan, Srivatsa Sundarraj, Charuni Sampathkumar, K. Mouthami, N. Yuvaraj
      Pages 14-23

    4. Adaptable Fog Computing Framework for Healthcare 4.0

      • Karthik Kovuri, Katha Chandrashekhar, A. V. Sriharsha, Byraboina Siddardha, A. Hitesh Reddy
      Pages 24-32

    5. Artificial Intelligence for Detecting Prevalence of Indolent Mastocytosis

      • V. Srilakshmi, K. S. Chakradhar, K. Suneetha, C. Shoba Bindu, Nagendar Yamsani, K. Reddy Madhavi
      Pages 33-43

    6. Solid Waste Management Using Deep Learning

      • N. S. Charan, Thumma Narasimhulu, G. Bhanu Kiran, T. Sudharshan Reddy, T. Shivangini Singh, Gurram Sunitha
      Pages 44-51

    7. A Multi-stage Deep Model for Crop Variety and Disease Prediction

      • Rajasekhar Nennuri, R. Hendra Kumar, G. Prathyusha, K. Tejaswini, G. Kanishka, Gurram Sunitha
      Pages 52-59

    8. Arabic Machine Translation Based on the Combination of Word Embedding Techniques

      • Nouhaila Bensalah, Habib Ayad, Abdellah Adib, Abdelhamid Ibn el Farouk
      Pages 60-69

    9. Fused Local Color Pattern (FLCP): A Novel Color Descriptor for Face Recognition

      • Shekhar Karanwal
      Pages 70-79

    10. Real-Estate Housing Market Analytics and Prediction Using Big Data for Post Pandemic Era

      • Christine Biju Jacob, K. Asha
      Pages 80-89

    11. Design of a Cross Layer Intrusion Detection System for Mobile Ad Hoc Networks to Mitigate Black Hole Attack

      • Lahcene Mekadem, Malika Bourenane
      Pages 90-99

    12. A Survey on Ensemble Multi-label Classifiers

      • Sonia Guehria, Habiba Belleili, Nabiha Azizi
      Pages 100-109

    13. Semantic Type Detection in Tabular Data via Machine Learning Using Semi-synthetic Data

      • Marc Chevallier, Nicoleta Rogovschi, Faouzi Boufarès, Nistor Grozavu
      Pages 110-119

    14. Handwritten Character Recognition Using Deep LSTM Approach

      • L. Agilandeeswari, Shambhavi Krishna Swarup, T. V. Thrishala, Sujana Kola
      Pages 120-128

    15. Two Phase Ensemble Learning Based Extractive Summarization for Short Documents

      • Gitanjali Mishra, Nilambar Sethi, L. Agilandeeswari
      Pages 129-142

    16. Spider Monkey Based K-Means Dynamic Collaborative Filtering for Movie Recommendation Systems

      • R. Devi Priya, Boggala Thulasi Reddy, P. Hariharan
      Pages 143-152

    17. Fuzzy Bi-GRU Based Hybrid Extractive and Abstractive Text Summarization for Long Multi-documents

      • Gitanjali Mishra, Nilambar Sethi, L. Agilandeeswari
      Pages 153-166

    18. A Genomic Signal Processing-Based Coronavirus Classification Model Using Deep Learning with Web-Based Console

      • Emmanuel Adetiba, Oluwatomilola Esther Fayomi, Ayodele Ifijeh, Abdultaofeek Abayomi, Joy Nwaogboko Adetiba, Surendra Thakur et al.
      Pages 167-181

    19. Study on Drowsiness Detection System Using Deep Learning

      • L. Agilandeeswari, S. Nivetha, Tirthankar Chakraborty, Vikash Chand
      Pages 182-193
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Other volumes

  1. Proceedings of the 14th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2022)

Keywords

About this book

This book highlights the recent research on soft computing, pattern recognition, nature-inspired computing, and their various practical applications. It presents 69 selected papers from the 14th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2022) and 19 papers from the 14th World Congress on Nature and Biologically Inspired Computing (NaBIC 2022), which was held online, from December 14 to 16, 2022. A premier conference in the field of soft computing, artificial intelligence, and machine learning applications, SoCPaR-NaBIC 2022 brought together researchers, engineers, and practitioners whose work involves intelligent systems, network security, and their applications in industry. Including contributions by authors from over 25 countries, the book offers a valuable reference guide for all researchers, students, and practitioners in the fields of computer science and engineering.

Editors and Affiliations

  • Faculty of Computing and Data Science, FLAME University, Pune, India

    Ajith Abraham

  • University of Applied Sciences and Arts Northwestern Switzerland, Olten, Switzerland

    Thomas Hanne

  • Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs, Auburn, USA

    Niketa Gandhi

  • Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs, Mala, India

    Pooja Manghirmalani Mishra

  • Computer Science and Engineering Department, Thapar Institute of Engineering and Technology, Patiala, India

    Anu Bajaj

  • Université Paris-Est Créteil, Créteil, France

    Patrick Siarry

Bibliographic Information

  • Book Title: Proceedings of the 14th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2022)

  • Editors: Ajith Abraham, Thomas Hanne, Niketa Gandhi, Pooja Manghirmalani Mishra, Anu Bajaj, Patrick Siarry

  • Series Title: Lecture Notes in Networks and Systems

  • DOI: https://doi.org/10.1007/978-3-031-27524-1

  • Publisher: Springer Cham

  • 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 Switzerland AG 2023

  • Softcover ISBN: 978-3-031-27523-4Published: 28 March 2023

  • eBook ISBN: 978-3-031-27524-1Published: 27 March 2023

  • Series ISSN: 2367-3370

  • Series E-ISSN: 2367-3389

  • Edition Number: 1

  • Number of Pages: XVIII, 914

  • Number of Illustrations: 90 b/w illustrations, 315 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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