Decision Support Systems for Industrial and Scientific Applications
Series: Signals and Communication Technology;
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75 438 Ft
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Product details:
- Publisher Springer Nature Switzerland
- Date of Publication 7 February 2026
- Number of Volumes 1 pieces, Book
- ISBN 9783031896996
- Binding Hardback
- No. of pages300 pages
- Size 235x155 mm
- Language English
- Illustrations XVIII, 300 p. 90 illus., 68 illus. in color. Illustrations, color 700
Categories
Long description:
This book explores the latest progress in intelligent systems designed to assist decision-making, revealing how advanced computers contribute to informed judgments. The authors show how these intelligent systems utilize cutting-edge technologies such as artificial intelligence, machine learning, and deep learning to comprehend and interpret data. The book illustrates successful applications of these systems to improve decision support in various industries, including business, finance, and healthcare. Essentially, the book focuses on the evolving role of technology in improving decision-making. The book offers a diverse collection of articles written by experts in the field, presenting a wide range of perspectives and approaches to intelligent systems for decision support. Readers can benefit from insights into various applications, methodologies, and success stories, providing a comprehensive understanding of the topic.
MoreTable of Contents:
Introduction.- Anomaly Detection in Smart Manufacturing Using an Intelligent Decision Support System with Applications in Supply Chain Management.- Lung and colon cancer detection system in histopathological images based on deep transfer Learning.- Design of an application to support the diagnosis of skin cancer using deep learning.- Enhancing Vascular Structure from Computed Tomography Angiography Images using Score-based Generative Models.- Remote medical assistance y wearable devices in health applications.- Product Demand Forecasting in the Industry 4.0 through machine learning and Intelligent Decision Support Systems.- Application of the Sugeno-Takagi-Kang considering fuzzy logic for demand forecasting in the supply chain: a Fuzzy temporary series forecast model (FTS) proposal.- Optimizing a Smart City’s Urban Park Lighting using Monkey Algorithm.- Intelligent System for Multimedia Data Analysis in Industry 4.0 using a Smart color management approach.- Technologies for Vehicle Classification in Intelligent Traffic Systems: Advances, Challenges, and Perspectives.- Conclusion.
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