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Distributed Computing and Artificial Intelligence, Volume 1: 18th International Conference

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Kenji Matsui

    1. Faculty of Robotics and Design, Osaka Institute of Technology, Osaka, Japan

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  2. Sigeru Omatu

    1. Graduate School, Hiroshima University, Higashi-Hiroshima, Japan

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  3. Tan Yigitcanlar

    1. School of Architecture and Built Environment, Queensland University of Technology, Brisbane, Australia

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  4. Sara Rodríguez González

    1. BISITE, Digital Innovation Hub, University of Salamanca, Salamanca, Spain

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  • Highlights the latest research on distributed computing and artificial intelligence
  • Presents the outcomes of the 18th International Conference on Distributed Computing and Artificial Intelligence 2021
  • Written by respected experts in the field

Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 327)

Included in the following conference series:

Conference proceedings info: DCAI 2021.

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Table of contents (21 papers)

  1. Front Matter

    Pages i-xvii
    Download chapter PDF

  2. A Theorem Proving Approach to Formal Verification of a Cognitive Agent

    • Alexander Birch Jensen
    Pages 1-11

  3. Parallelization of the Poisson-Binomial Radius Distance for Comparing Histograms of n-grams

    • Ana-Lorena Uribe-Hurtado, Mauricio Orozco-Alzate
    Pages 12-21

  4. CVAE-Based Complementary Story Generation Considering the Beginning and Ending

    • Riku Iikura, Makoto Okada, Naoki Mori
    Pages 22-31

  5. A Review on Multi-agent Systems and Virtual Reality

    • Alejandra Ospina-Bohórquez, Sara Rodríguez-González, Diego Vergara-Rodríguez
    Pages 32-42

  6. Malware Analysis with Artificial Intelligence and a Particular Attention on Results Interpretability

    • Benjamin Marais, Tony Quertier, Christophe Chesneau
    Pages 43-55

  7. Byzantine Resilient Aggregation in Distributed Reinforcement Learning

    • Jiani Li, Feiyang Cai, Xenofon Koutsoukos
    Pages 56-66

  8. Utilising Data from Multiple Production Lines for Predictive Deep Learning Models

    • Niclas Ståhl, Gunnar Mathiason, Juhee Bae
    Pages 67-76

  9. Optimizing Medical Image Classification Models for Edge Devices

    • Areeba Abid, Priyanshu Sinha, Aishwarya Harpale, Judy Gichoya, Saptarshi Purkayastha
    Pages 77-87

  10. Song Recommender System Based on Emotional Aspects and Social Relations

    • Carlos J. Gomes, Ana B. Gil-González, Ana Luis-Reboredo, Diego Sánchez-Moreno, María N. Moreno-García
    Pages 88-97

  11. Non-isomorphic CNF Generation

    • Paolo Fantozzi, Luigi Laura, Umberto Nanni, Alessandro Villa
    Pages 98-107

  12. A Search Engine for Scientific Publications: A Cybersecurity Case Study

    • Nuno Oliveira, Norberto Sousa, Isabel Praça
    Pages 108-118

  13. Prediction Models for Coronary Heart Disease

    • Cristiana Neto, Diana Ferreira, José Ramos, Sandro Cruz, Joaquim Oliveira, António Abelha et al.
    Pages 119-128

  14. Soft-Sensors for Monitoring B. Thuringiensis Bioproduction

    • C. E. Robles Rodriguez, J. Abboud, N. Abdelmalek, S. Rouis, N. Bensaid, M. Kallassy et al.
    Pages 129-136

  15. A Tree-Based Approach to Forecast the Total Nitrogen in Wastewater Treatment Plants

    • Carlos Faria, Pedro Oliveira, Bruno Fernandes, Francisco Aguiar, Maria Alcina Pereira, Paulo Novais
    Pages 137-147

  16. Machine Learning for Network-Based Intrusion Detection Systems: An Analysis of the CIDDS-001 Dataset

    • José Carneiro, Nuno Oliveira, Norberto Sousa, Eva Maia, Isabel Praça
    Pages 148-158

  17. Wind Speed Forecasting Using Feed-Forward Artificial Neural Network

    • Eduardo Praun Machado, Hugo Morais, Tiago Pinto
    Pages 159-168

  18. A Multi-agent Specification for the Tetris Game

    • Carlos Marín-Lora, Miguel Chover, Jose M. Sotoca
    Pages 169-178

  19. Service-Oriented Architecture for Data-Driven Fault Detection

    • Marta Fernandes, Alda Canito, Daniel Mota, Juan Manuel Corchado, Goreti Marreiros
    Pages 179-189

  20. Distributing and Processing Data from the Edge. A Case Study with Ultrasound Sensor Modules

    • Jose-Luis Poza-Lujan, Pedro Uribe-Chavert, Juan-José Sáenz-Peñafiel, Juan-Luis Posadas-Yagüe
    Pages 190-199
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Other volumes

  1. Distributed Computing and Artificial Intelligence, Volume 1: 18th International Conference

  2. Distributed Computing and Artificial Intelligence, Volume 2: Special Sessions 18th International Conference

Keywords

About this book

This book offers the exchange of ideas between scientists and technicians from both the academic and industrial sector which is essential to facilitate the development of systems that can meet the ever-increasing demands of today’s society. The 18th International Symposium on Distributed Computing and Artificial Intelligence 2021 (DCAI 2021) is a forum to present the applications of innovative techniques for studying and solving complex problems in artificial intelligence and computing areas. The present edition brings together past experience, current work, and promising future trends associated with distributed computing, artificial intelligence, and their application in order to provide efficient solutions to real problems.

This year’s technical program presents both high quality and diversity, with contributions in well-established and evolving areas of research. Specifically, 55 papers were submitted to main track and special sessions, by authors from 24 different countries, representing a truly “wide area network” of research activity. The DCAI’21 technical program has selected 21 papers, and, as in past editions, it will be special issues in ranked journals such as Electronics, Sensors, Systems, Robotics, Mathematical Biosciences and ADCAIJ. These special issues cover extended versions of the most highly regarded works. Moreover, DCAI'21 special sessions have been a very useful tool to complement the regular program with new or emerging topics of particular interest to the participating community.

Editors and Affiliations

  • Faculty of Robotics and Design, Osaka Institute of Technology, Osaka, Japan

    Kenji Matsui

  • Graduate School, Hiroshima University, Higashi-Hiroshima, Japan

    Sigeru Omatu

  • School of Architecture and Built Environment, Queensland University of Technology, Brisbane, Australia

    Tan Yigitcanlar

  • BISITE, Digital Innovation Hub, University of Salamanca, Salamanca, Spain

    Sara Rodríguez González

Bibliographic Information

  • Book Title: Distributed Computing and Artificial Intelligence, Volume 1: 18th International Conference

  • Editors: Kenji Matsui, Sigeru Omatu, Tan Yigitcanlar, Sara Rodríguez González

  • Series Title: Lecture Notes in Networks and Systems

  • DOI: https://doi.org/10.1007/978-3-030-86261-9

  • 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 2022

  • Softcover ISBN: 978-3-030-86260-2Published: 02 September 2021

  • eBook ISBN: 978-3-030-86261-9Published: 01 September 2021

  • Series ISSN: 2367-3370

  • Series E-ISSN: 2367-3389

  • Edition Number: 1

  • Number of Pages: XVII, 222

  • Number of Illustrations: 12 b/w illustrations, 57 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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