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Intelligent Decision Technologies

Proceedings of the 12th KES International Conference on Intelligent Decision Technologies (KES-IDT 2020)

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Ireneusz Czarnowski

    1. Gdynia Maritime University, Gdynia, Poland

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  2. Robert J. Howlett

    1. KES International Research, UK

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  3. Lakhmi C. Jain

    1. Faculty of Engineering and Information Technology, Centre for Artificial Intelligence, University of Technology Sydney, Sydney, Australia

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  • Includes recent research on intelligent decision technologies
  • Presents the latest findings in data science
  • Addresses such diverse areas as finance, linguistics, management, and transportation

Part of the book series: Smart Innovation, Systems and Technologies (SIST, volume 193)

Included in the following conference series:

Conference proceedings info: IDT 2020.

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Table of contents (47 papers)

  1. Front Matter

    Pages i-xvii
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  2. Main Track

    1. Front Matter

      Pages 1-1
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    2. Solving Job Shop Scheduling with Parallel Population-Based Optimization and Apache Spark

      • Piotr Jedrzejowicz, Izabela Wierzbowska
      Pages 3-13

    3. Predicting Profitability of Peer-to-Peer Loans with Recovery Models for Censored Data

      • Markus Viljanen, Ajay Byanjankar, Tapio Pahikkala
      Pages 15-25

    4. Weighted Network Analysis for Computer-Aided Drug Discovery

      • Mariko I. Ito, Takaaki Ohnishi
      Pages 27-36

    5. Manufacturing as a Service in Industry 4.0: A Multi-Objective Optimization Approach

      • Gabriel H. A. Medeiros, Qiushi Cao, Cecilia Zanni-Merk, Ahmed Samet
      Pages 37-47

    6. Conservative Determinization of Translated Automata by Embedded Subset Construction

      • Michele Dusi, Gianfranco Lamperti
      Pages 49-61

    7. Explanatory Monitoring of Discrete-Event Systems

      • Nicola Bertoglio, Gianfranco Lamperti, Marina Zanella, Xiangfu Zhao
      Pages 63-77

    8. Artificial Intelligence Technique in Crop Disease Forecasting: A Case Study on Potato Late Blight Prediction

      • Gianni Fenu, Francesca Maridina Malloci
      Pages 79-89

    9. Optimal Quality-Based Recycling and Reselling Prices of Returned SEPs in IoT Environment

      • Siyu Zong, Sijie Li, You Shang
      Pages 91-103

    10. On a Novel Representation of Multiple Textual Documents in a Single Graph

      • Nikolaos Giarelis, Nikos Kanakaris, Nikos Karacapilidis
      Pages 105-115

    11. Multi-agent Approach to the DVRP with GLS Improvement Procedure

      • Dariusz Barbucha
      Pages 117-126

  3. Intelligent Data Processing and Its Applications

    1. Front Matter

      Pages 127-127
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    2. Detecting Relevant Regions for Watermark Embedding in Video Sequences Based on Deep Learning

      • Margarita N. Favorskaya, Vladimir V. Buryachenko
      Pages 129-139

    3. Artificial Neural Network in Predicting Cancer Based on Infrared Spectroscopy

      • Yaniv Cohen, Arkadi Zilberman, Ben Zion Dekel, Evgenii Krouk
      Pages 141-153

    4. Evaluation of Shoulder Joint Data Obtained from CON-TREX Medical System

      • Aleksandr Zotin, Konstantin Simonov, Evgeny Kabaev, Mikhail Kurako, Alexander Matsulev
      Pages 155-165

    5. Framework for Intelligent Wildlife Monitoring

      • Valery Nicheporchuk, Igor Gryazin, Margarita N. Favorskaya
      Pages 167-177

    6. Computation the Bridges Earthquake Resistance by the Grid-Characteristic Method

      • Alena Favorskaya
      Pages 179-187

    7. Study the Elastic Waves Propagation in Multistory Buildings, Taking into Account Dynamic Destruction

      • Alena Favorskaya, Vasily Golubev
      Pages 189-199

    8. Icebergs Explosions for Prevention of Offshore Collision: Computer Simulation and Analysis

      • Alena Favorskaya, Nikolay Khokhlov
      Pages 201-210
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  1. Intelligent Decision Technologies

Keywords

About this book

This book gathers selected papers from the KES-IDT-2020 Conference, held as a Virtual Conference on June 17–19, 2020.  The aim of the annual conference was to present and discuss the latest research results, and to generate new ideas in the field of intelligent decision-making. However, the range of topics discussed during the conference was definitely broader and covered methods in e.g. classification, prediction, data analysis, big data, data science, decision support, knowledge engineering, and modeling in such diverse areas as finance, cybersecurity, economics, health, management and transportation. The Problems in Industry 4.0 and IoT are also addressed. 


The book contains several sections devoted to specific topics, such as 


Intelligent Data Processing and its Applications


High-Dimensional Data Analysis and its Applications


Multi-Criteria Decision Analysis – Theory and Applications


Large-Scale Systems for Intelligent Decision-Making and Knowledge Engineering


Decision Technologies and Related Topics in Big Data Analysis of Social and Financial Issues


Decision-Making Theory for Economics

Editors and Affiliations

  • Gdynia Maritime University, Gdynia, Poland

    Ireneusz Czarnowski

  • KES International Research, UK

    Robert J. Howlett

  • Faculty of Engineering and Information Technology, Centre for Artificial Intelligence, University of Technology Sydney, Sydney, Australia

    Lakhmi C. Jain

About the editors

Ireneusz Czarnowski is a Professor at the Gdynia Maritime University. He holds B.Sc. and M.Sc. degrees in Electronics and Communication Systems from the same university. He received his doctorate in Computer Science from the Faculty of Computer Science and Management, Poznan University of Technology, in 2004. In 2012, he completed his postdoctoral degree at Wroclaw University of Science and Technology. His research interests include artificial intelligence, machine learning, evolutionary computations, multi-agent systems, data mining and data science. He is an Associate Editor of the Journal of Knowledge-Based and Intelligent Engineering Systems, published by IOS Press, and a reviewer for several scientific journals.


Dr. Robert Howlett is the Executive Chair of KES International, a non-profit organization that facilitates the dissemination of research results in areas including intelligent systems, sustainability, and knowledge transfer. A Visiting Professor at Bournemouth University, UK, his technical expertise is in the use of intelligent systems to solve industrial problems. He has been successful in applying artificial intelligence, machine learning, and related technologies to sustainability and renewable energy systems; condition monitoring, diagnostic tools, and systems; and automotive electronics and engine management systems. His current research focuses on the use of smart microgrids to achieve reduced energy costs and lower carbon emissions in areas such as housing and protected horticulture.  


Dr. Lakhmi C. Jain, Ph.D., M.E., Fellow (Engineers Australia), is affiliated with the University of Technology Sydney, Australia, and Liverpool Hope University, UK. Professor Jain serves with KES International, which provides the professional community with opportunities for publication, knowledge exchange, cooperation, and teambuilding. Involving over 5,000 researchers drawn from universities and companies worldwide, KES facilitates international cooperation and generates synergy in teaching and research. KES regularly provides networking opportunities for the professional community through one of the largest conferences of its kind.

Bibliographic Information

  • Book Title: Intelligent Decision Technologies

  • Book Subtitle: Proceedings of the 12th KES International Conference on Intelligent Decision Technologies (KES-IDT 2020)

  • Editors: Ireneusz Czarnowski, Robert J. Howlett, Lakhmi C. Jain

  • Series Title: Smart Innovation, Systems and Technologies

  • DOI: https://doi.org/10.1007/978-981-15-5925-9

  • Publisher: Springer Singapore

  • 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 Singapore Pte Ltd. 2020

  • Hardcover ISBN: 978-981-15-5924-2Published: 12 June 2020

  • eBook ISBN: 978-981-15-5925-9Published: 11 June 2020

  • Series ISSN: 2190-3018

  • Series E-ISSN: 2190-3026

  • Edition Number: 1

  • Number of Pages: XVII, 546

  • Number of Illustrations: 62 b/w illustrations, 153 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence, Data Engineering

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