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Proceedings of the Tenth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2018)

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Ana Maria Madureira

    1. School of Engineering, Instituto Superior de Engenharia (ISEP/IPP), Porto, Portugal

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  2. Ajith Abraham

    1. Machine Intelligence Research Labs (MIR), Auburn, USA

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  3. Niketa Gandhi

    1. Machine Intelligence Research Labs (MIR Labs), Auburn, USA

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  4. Catarina Silva

    1. Politécnico de Leiria, Leiria, Portugal

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  5. Mário Antunes

    1. Politécnico de Leiria, Leiria, Portugal

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  • Presents the latest research on soft computing and pattern recognition
  • Includes the proceedings of the 10th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2018) held in Porto, Portugal, December 13-15, 2018
  • Written by experts in the field

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 942)

Included in the following conference series:

Conference proceedings info: SoCPaR 2018.

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About this book

This book highlights recent research on Soft Computing, Pattern Recognition, Information Assurance and Security. It presents 38 selected papers from the 10th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2018) and the 14th International Conference on Information Assurance and Security (IAS 2018) held at Instituto Superior de Engenharia do Porto (ISEP), Portugal during December 13–15, 2018. SoCPaR – IAS 2018 is a premier conference and brings together researchers, engineers and practitioners whose work involves soft computing and information assurance and their applications in industry and the real world. 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.

 


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Table of contents (38 papers)

  1. Front Matter

    Pages i-xvi
    Download chapter PDF

  2. Shaping the Music Perception of an Automatic Music Composition: An Empirical Approach for Modelling Music Expressiveness

    • Michele Della Ventura
    Pages 1-10

  3. Diverse Ranking Approach in MCDM Based on Trapezoidal Intuitionistic Fuzzy Numbers

    • Zamali Tarmudi, Norzanah Abd Rahman
    Pages 11-21

  4. Decision Tree and MCDA Under Fuzziness to Support E-Customer Satisfaction Survey

    • Houda Zaim, Mohammed Ramdani, Adil Haddi
    Pages 22-32

  5. Search Convenience and Access Convenience: The Difference Between Website Shopping and Mobile Shopping

    • Ibrahim Almarashdeh, Kamal Eldin Eldaw, Mutasem AlSmadi, Usama Badawi, Firas Haddad, Osama Ahmed Abdelkader et al.
    Pages 33-42

  6. Automatic Classification and Segmentation of Low-Grade Gliomas in Magnetic Resonance Imaging

    • Marta Barbosa, Pedro Moreira, Rogério Ribeiro, Luis Coelho
    Pages 43-50

  7. Enhancing Ensemble Prediction Accuracy of Breast Cancer Survivability and Diabetes Diagnostic Using Optimized EKF-RBFN Trained Prototypes

    • Vincent Adegoke, Daqing Chen, Ebad Banissi, Safia Barsikzai
    Pages 51-65

  8. Improving Audiovisual Content Annotation Through a Semi-automated Process Based on Deep Learning

    • Luís Vilaça, Paula Viana, Pedro Carvalho, Teresa Andrade
    Pages 66-75

  9. Subject Identification Based on Gait Using a RGB-D Camera

    • Ana Patrícia Rocha, José Maria Fernandes, Hugo Miguel Pereira Choupina, Maria do Carmo Vilas-Boas, João Paulo Silva Cunha
    Pages 76-85

  10. Leakage Detection of a Boiler Tube Using a Genetic Algorithm-like Method and Support Vector Machines

    • Young-Hun Kim, Jaeyoung Kim, Jong-Myon Kim
    Pages 86-93

  11. Sentiment Analysis on Tweets for Trains Using Machine Learning

    • Sachin Kumar, Marina I. Nezhurina
    Pages 94-104

  12. A Genetic Algorithm for Superior Solution Set Search Problem

    • Ryu Fukushima, Kenichi Tamura, Junichi Tsuchiya, Keiichiro Yasuda
    Pages 105-115

  13. An Intelligent Tool for Detection of Phishing Messages

    • Marcos Pires, Petia Georgieva
    Pages 116-125

  14. Discrete Wavelet Transform Application in Variable Displacement Pumps Condition Monitoring

    • Molham Chikhalsouk, Balasubramanian Esakki, Khalid Zhouri, Yassin Nmir
    Pages 126-136

  15. Characterizing Parkinson’s Disease from Speech Samples Using Deep Structured Learning

    • Lígia Sousa, Diogo Braga, Ana Madureira, Luis Coelho, Francesco Renna
    Pages 137-146

  16. Combinatorial Optimization Method Considering Distance in Scheduling Problem

    • Yuta Obinata, Kenichi Tamura, Junichi Tsuchiya, Keiichiro Yasuda
    Pages 147-157

  17. An Improved Gas Classification Technique Using New Features and Support Vector Machines

    • Se-Jong Kang, Jae-Young Kim, In-Kyu Jeong, M. M. Manjurul Islam, Kichang Im, Jong-Myon Kim
    Pages 158-166

  18. Superior Relation Based Firefly Algorithm in Superior Solution Set Search

    • Hongran Wang, Kenichi Tamura, Junichi Tsuchiya, Keiichiro Yasuda
    Pages 167-176

  19. Learning in Twitter Streams with 280 Character Tweets

    • Joana Costa, Catarina Silva, Bernardete Ribeiro
    Pages 177-184

  20. Retweet Predictive Model for Predicting the Popularity of Tweets

    • Nelson Oliveira, Joana Costa, Catarina Silva, Bernardete Ribeiro
    Pages 185-193
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Other volumes

  1. Proceedings of the Tenth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2018)

Editors and Affiliations

  • School of Engineering, Instituto Superior de Engenharia (ISEP/IPP), Porto, Portugal

    Ana Maria Madureira

  • Machine Intelligence Research Labs (MIR), Auburn, USA

    Ajith Abraham

  • Machine Intelligence Research Labs (MIR Labs), Auburn, USA

    Niketa Gandhi

  • Politécnico de Leiria, Leiria, Portugal

    Catarina Silva, Mário Antunes

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