UID:
almahu_9949500605102882
Format:
XVII, 318 p. 131 illus., 91 illus. in color.
,
online resource.
Edition:
1st ed. 2023.
ISBN:
9789819929696
Series Statement:
Smart Innovation, Systems and Technologies, 352
Content:
This book gathers selected papers from the KES-IDT 2023 Conference, held in Rome, Italy, on June 14-16, 2023. 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.
Note:
Data, Information, Knowledge, Wisdom Pyramid Concept Revisited in the Context of Deep Learning -- Multimedia Industrial and Medical Applications Supported by Machine Learning -- Accessibility Measures and Indicators: A Basis for Dynamic Simulations to Improve Regional Planning -- Image-multimodal Data Analysis for Defect Classification: Case Study of Industrial Printing -- Image-multimodal Data Analysis for Defect Classification: Case Study of Semiconductor Defect Patter -- Decision-making Model for Updating Geographical Information Systems for Polish Municipalities Using the Fuzzy TOPSIS Method -- An Ontology-based Collaborative Assessment Analytics Framework to Predict Groups' Disengagement -- On Sensing Non-visual Symptoms of Northern Leaf Blight Inoculated Maize for Early Disease Detection Using IoT/AI -- Inference Analysis of Lightweight CNNs for Monocular Depth Estimation -- Arabic Text-to-speech Service with Syrian Dialect -- A Systematic Review of Sentiment Analysis in Arabizi.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9789819929689
Additional Edition:
Printed edition: ISBN 9789819929702
Additional Edition:
Printed edition: ISBN 9789819929719
Language:
English
DOI:
10.1007/978-981-99-2969-6
URL:
https://doi.org/10.1007/978-981-99-2969-6
URL:
Volltext
(URL des Erstveröffentlichers)
