Distributed Computing and Artificial Intelligence, Special Sessions II, 15th International Conference

  • Sigeru Omatu
  • Mohd Saberi Mohamad
  • Paulo Novais
  • Enrique Díaz-Plaza Sanz
  • José Alberto García Coria
Conference proceedings DCAI 2018

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 802)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Joaquin Taverner, Ramon Ruiz, Elena del Val, Carlos Diez, Jose Alemany
    Pages 1-4
  3. Maite Giménez, Jaume Jordán, Javier Palanca, Jaime Rincon
    Pages 5-9
  4. Samuel Gallego Chimeno, Joaquín Delgado Fernández, Sergio Márquez Sánchez, Pablo Pueyo Ramón, Óscar Mauricio Salazar Ospina, Marcel Vicente Muñoz et al.
    Pages 10-14
  5. Carlos Peiró González, Jose Eduardo Reinoso Andrade, Alejandro Fuster Baggetro, Araceli Teruel Domenech
    Pages 15-19
  6. Ana Gutiérrez Sanchis
    Pages 20-26
  7. Sergio Marquez, Roberto Casado-Vara, Alfonso González-Briones, Javier Prieto, Juan M. Corchado
    Pages 27-37
  8. Alfonso González-Briones, Roberto Casado-Vara, Sergio Márquez, Javier Prieto, Juan M. Corchado
    Pages 38-48
  9. Roberto Casado-Vara, Fernando De la Prieta, Sara Rodriguez, Javier Prieto, Juan M. Corchado
    Pages 49-62
  10. Back Matter
    Pages 63-63

About these proceedings


This book addresses a broad range of topics, from newly proposed techniques in Artificial Intelligence (AI) and Machine Learning to various applications such as decision-making, pattern classification for data, image and signals, robotics, and control systems. Big data applications are discussed, while improved methods and wholly new methods for using deep learning technologies are also presented.

 The topics covered are comprehensive and reflect a wide range of technologies in the area. In particular, the latest methods in deep learning approaches and applications are discussed in many parts of the book, providing a better understanding of these new technologies.

 The book’s general scope includes the latest methods in the areas of Artificial Intelligence and Machine Learning for use in distributed computing as well as decision support systems. As the book covers a rather wide area, its intended readership ranges from those working in AI and machine learning technologies to those working on applications utilizing these technologies, researchers new to these areas who need background information on the technologies and applications, and more experienced researchers looking for new methods and applications.



Intelligent Computing Distributed Computing Computational Intelligence Artificial Intelligence DCAI2018

Editors and affiliations

  • Sigeru Omatu
    • 1
  • Mohd Saberi Mohamad
    • 2
  • Paulo Novais
    • 3
  • Enrique Díaz-Plaza Sanz
    • 4
  • José Alberto García Coria
    • 5
  1. 1.Hiroshima UniversityEast-HiroshimaJapan
  2. 2.Department of Software EngineeringUniversiti Teknologi MalaysiaJohorMalaysia
  3. 3.Departamento de InformaticaUniversidade do MinhoBragaPortugal
  4. 4.Department of Computer Science, School of Science University of Salamanca MadridSpain
  5. 5.Department of Computer ScienceUniversity of SalamancaSalamancaSpain

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