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Intelligent Decision Technologies 2019

Proceedings of the 11th KES International Conference on Intelligent Decision Technologies (KES-IDT 2019), Volume 1

  • Conference proceedings
  • © 2020

Overview

  • Includes recent research on intelligent decision technologies
  • Highlights the interdisciplinarity of intelligent decision technologies, connecting computer science with the development of artificial intelligence; information systems with the development of decision support systems; and engineering with the development of systems
  • Addresses such diverse areas as finance, linguistics, management and transportation

Part of the book series: Smart Innovation, Systems and Technologies (SIST, volume 142)

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Table of contents (30 papers)

  1. Main Track

  2. Decision Support Systems

  3. Decision Techniques for Data Mining, Transportation and Project Management

Keywords

About this book

The book presents a collection of peer-reviewed articles from the 11th KES International Conference on Intelligent Decision Technologies (KES-IDT-19), held Malta on 17–19 June 2019. The conference provided opportunities for the presentation of new research results and discussion about them. It was also an opportunity to generation of new ideas in the field of intelligent decision making. The range of topics explored is wide, and covers methods of classification, prediction, data analysis, decision support, modelling and many more in such areas as finance, cybersecurity, economy, health, management and transportation. The topics cover also problems of data science, signal processing and knowledge engineering.

Editors and Affiliations

  • Department of Information Systems, Gdynia Maritime University, Gdynia, Poland

    Ireneusz Czarnowski

  • Bournemouth University and KES International, Poole, UK

    Robert J. Howlett

  • University of Canberra, Canberra, 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 gained the doctoral degree in the field of computer science in 2004 at Faculty of Computer Science and Management of Poznan University of Technology. In 2012, he earned a postdoctoral degree in the field of computer science in technical sciences 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 the 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 knowledge transfer and the dissemination of research results in areas including Intelligent Systems, Sustainability, and Knowledge Transfer.  He is a Visiting Professor at Bournemouth University in the 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 work is focussed on the use of smart microgrids to achieve reduced energy costs and lower carbon emissions in areas such as housing and protected horticulture.

Lakhmi C. Jain, BE(Hons), M.E., Ph.D., Fellow (IE Australia) is a member of the Faculty of Education, Science, Technology & Mathematics at the University of Canberra and the University of Technology Sydney, both in Australia. He is a Fellow of the Institution of Engineers Australia. Professor Jain founded KES International, whichprovides professional communities with opportunities for publication, knowledge exchange, cooperation and teaming. His interests include artificial intelligence paradigms and their applications in complex systems, security, e-education, e-healthcare, unmanned aircraft and intelligent agents.

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