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Intelligent Distributed Computing XV

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Lars Braubach

    1. Bremen University of Applied Sciences, Bremen, Germany

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  2. Kai Jander

    1. Brandenburg University of Applied Sciences, Brandenburg, Germany

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  3. Costin Bădică

    1. University of Craiova, Craiova, Romania

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  • Presents recent research on intelligent distributed computing
  • Includes the scientific outcome of the 15th Int. Symposium on Intelligent Distributed Computing (IDC 2022)
  • Written by leading experts in the field

Part of the book series: Studies in Computational Intelligence (SCI, volume 1089)

Included in the following conference series:

Conference proceedings info: IDC 2022.

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Table of contents (32 papers)

  1. Front Matter

    Pages i-xii
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  2. Machine Learning

    1. Front Matter

      Pages 1-1
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    2. Using Artificial Neural Networks to Model Initial Recruitment of Mediterranean Pine Forests

      • Lidia Fotia, Manuel Esteban Lucas-Borja, Domenico Rosaci, Giuseppe M. L. Sarné, Demetrio Antonio Zema
      Pages 3-12

    3. Applying Machine Learning Methods to Detect Abnormal User Behavior in a University Data Center

      • Igor Kotenko, Igor Saenko
      Pages 13-22

    4. Dynamic Management of Distributed Machine Learning Projects

      • Filipe Oliveira, André Alves, Hugo Moço, José Monteiro, Óscar Oliveira, Davide Carneiro et al.
      Pages 23-32

    5. Enabling Neural Network Edge Computing on a Small Robot Vehicle

      • Jan Bredereke
      Pages 33-40

    6. Using SHAP-Based Interpretability to Understand Risk of Job Changing

      • Daniel-Costel Bouleanu, Costin Bădică, Kalliopi Kravari
      Pages 41-50

    7. Image-Based Intrusion Detection in Network Traffic

      • Sergei Golubev, Evgenia Novikova
      Pages 51-60

    8. Real-Time Traffic Prediction Using Distributed Deep Learning Based Multivariate Time-Series Models

      • Hoang-Thong Vo, Quang-Linh Tran, Gia-Huy Lam, Ngan-Linh Nguyen, Trong-Hop Do, Nguyen Thi Lieu et al.
      Pages 61-68

    9. Machine Learning Model for Flower Image Classification on a Tensor Processing Unit

      • Anik Biswas, Julia Garbaruk, Doina Logofătu
      Pages 69-74

  3. Distributed Systems, Agents and Microservices

    1. Front Matter

      Pages 75-75
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    2. Distributed Microservices Architecture for Fuzzy Risk-Based Structural Analysis of Resistance to Change in Digital Transformation Practice

      • Azedine Boulmakoul, Fadoua Khanboubi, Bachira Abou El karam, Rabia Marghoubi
      Pages 77-88

    3. Simulating Traffic with Agents, Microservices and REST

      • Martynas Jagutis, Seán Russell, Rem Collier
      Pages 89-99

    4. Stock Price Forecasting on BigDL - A Parallel and Distributed Framework

      • Nhu-Chien Ha, Quoc-Loc Duong, Trong-Hop Do
      Pages 100-110

    5. Towards a New Architecture: Multi-agent Based Cloud-Fog-Edge Computing and Digital Twin for Smart Agriculture

      • Yogeswaranathan Kalyani, Rem Collier
      Pages 111-117

    6. A Survey on the Use of the Multi-agent Paradigm in Coordination of Connected and Autonomous Vehicles

      • Giacomo Cabri, Letizia Leonardi, Enzo Rotonda
      Pages 118-124

    7. Proof-of-Concept (PoC) Biometric-Based Decentralized Digital Identifiers

      • Anatoliy Lut
      Pages 125-130

  4. Text and Research

    1. Front Matter

      Pages 131-131
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    2. Correlation Between Researchers’ Centrality and H-Index: A Case Study

      • V. Carchiolo, M. Grassia, M. Malgeri, G. Mangioni
      Pages 133-143

    3. Towards an Online Multilingual Tool for Automated Conceptual Database Design

      • Drazen Brdjanin, Mladen Grumic, Goran Banjac, Milan Miscevic, Igor Dujlovic, Aleksandar Kelec et al.
      Pages 144-153
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Keywords

About this book

This book includes the latest research in the diverse field of intelligent distributed computing, covering a multitude of aspects in both distributed computing and intelligent systems. It includes contributions in machine learning, distributed systems & agents, text- and research-centric applications, social systems, and smart cities.

It was written by leading experts in the field, who presented their work as part of the 15th International Symposium on Intelligent Distributed Computing (IDC 2022).

Editors and Affiliations

  • Bremen University of Applied Sciences, Bremen, Germany

    Lars Braubach

  • Brandenburg University of Applied Sciences, Brandenburg, Germany

    Kai Jander

  • University of Craiova, Craiova, Romania

    Costin Bădică

Bibliographic Information

  • Book Title: Intelligent Distributed Computing XV

  • Editors: Lars Braubach, Kai Jander, Costin Bădică

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-031-29104-3

  • 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

  • Hardcover ISBN: 978-3-031-29103-6Published: 09 April 2023

  • Softcover ISBN: 978-3-031-32016-3Published: 10 April 2024

  • eBook ISBN: 978-3-031-29104-3Published: 08 April 2023

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XII, 308

  • Number of Illustrations: 24 b/w illustrations, 88 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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