Intelligent Decision Technologies

Proceedings of the 17th KES-IDT 2025 Conference
Erscheinungsjahr 2026
ISBN: 978-3-032-04185-2
Verlag: Springer

Buch, Englisch, 161 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Smart Innovation, Systems and Technologies

This book gathers selected papers from the KES-IDT 2025 conference, held in Solin, Croatia, on June 25–27, 2025. 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 is 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 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 and decision-making theory for economics.

Zielgruppe

Research

Autoren/Hrsg.

Czarnowski, Ireneusz

Howlett, Robert J.

Jain, Lakhmi C.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

.- Select Starting Points and Vote.- On Approximations of Arbitrary Relations by Partial Orders.- Skeleton-based Human Action Recognition for Automated Movement Examination.- Precedence Crossover for Loop Machine Layout Problem with Shortcuts.- Integrating Neighborhoods and Latent Factors for Personalized Recommender Systems.- A Comparative Analysis of the Potential of DeepSeek, Qwen and Llava in Interpreting Visual Information from Holter Investigations.- Large-Scale Systems for Intelligent Decision Making and Knowledge Engineering.- Designing RenewablesBridge.- An LLM-Based Approach for Creating Multi-Agent Systems.- Approaches for Enhancing Software Development Effort Estimation.- Modern Trends of Lifecycle Optimization in Software Development.- Implementing Agile Methodology for Lifecycle Management in IT Projects: Multi-?ase Studies.- IT Crisisology: Systemic Methodology for Sustainable Development of Complex Sociotechnical Systems.- Decision Making Theory for Economics.- Calculations by Several Methods for MDAHP Including Hierarchical Alternatives.- A Study of Evaluation Models for Information Systems Implementing UX (User Experience) on Web Platforms.- A Graph Generalization for Evaluating Products.- Advances in Machine Learning Applications and Systems.- Unsupervised Machine Learning for Predicting Marine Ecological Quality based on Microbiome
Data.- Survey of Vector Database Management Systems from Recommendation Systems Perspective.

Über Autor(innen)

Dr. 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.

Dr. Lakhmi C. Jain, PhD, ME, BE(Hons), Fellow (Engineers Australia) is with the University of Technology Sydney, Australia, and Liverpool Hope University, UK, a nd currently with the University of Piraeus, Athens, Greece . Professor Jain 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 world-wide, 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 KES.