Ireneusz Czarnowski & Robert J. Howlett 
Intelligent Decision Technologies 
Proceedings of the 14th KES-IDT 2022 Conference

This book gathers selected papers from the KES-IDT 2022 Conference, held in Rhodes, Greece on June 20–22, 2022. The book presents and discusses the latest research results and generates new ideas in the field of intelligent decision-making. The range of topics discussed are classification, prediction, data analysis, big data, data science, decision support, knowledge engineering, and modeling in diverse areas such as finance, cybersecurity, economics, health, management, and transportation. The problems in Industry 4.0 and Io T 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, and decision-making theory for economics.

Tabla de materias

Latent Chained Comments to Retweet Extraction on Twitter.- Recommendation versus Regression Neural Collaborative Filtering.- Heuristic Approach to Improve the Efficiency of Maximum Weight Matching Algorithm Using Clustering.- Digital Cultural Heritage Twins: New Tools for a Complete Fruition of the Cultural Heritage Entities.- Arabic Speech Processing: State of the Art and Future Outlook.- Inter-rater Agreement Based Risk Assessment Scheme for ICT Corporates.- Sequence Classification via LCS.- Assured Multi-Agent Reinforcement Learning with Robust Agent-Interaction Adaptability.- Development of a Telegram Bot to Determine the Level of Technological Readiness.- Design of Multiprocessor Architecture for Watermarking and Tracing Images Using QR Code.

Sobre el autor

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.








Robert Howlett is the Academic 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 ‘Aurel Vlaciu’ University of Arad in Romani . 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 focused 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, Fellow (Engineers Australia) is with the Liverpool Hope University and the University of Arad. He was formerly with the University of Technology Sydney, the University of Canberra and Bournemouth University, UK. He serves the KES International for providing a professional community the opportunities for publications, knowledge exchange, cooperation and teaming. Involving around 5, 000 researchers drawn from universities and companies worldwide, KES facilitates international cooperation and generate synergy in teaching and research. KES regularly provides networking opportunities for professional community through one of the largest conferences of its kind in the area of KES.