Model and Data Engineering (eBook, PDF)

13th International Conference, MEDI 2024, Naples, Italy, November 18-20, 2024, Proceedings
Redaktion: Ordonez, Carlos; Bellatreche, Ladjel; Masciari, Elio; Sperlì, Giancarlo

• Format: PDF

Produktbeschreibung

This book constitutes the refereed proceedings of the 13th International Conference on Model and Data Engineering, MEDI 2024, held in Naples, Italy, during November 18-20, 2024.

The 7 full papers and 11 short papers were carefully peer reviewed and selected from 45 submissions. They were organized in topical sections as follows: AI-Enabled Systems; Security and Privacy; Query Processing; Prediction; Conceptual Issues; and Applications.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 248
• Erscheinungstermin: 8. April 2025
• Englisch
• ISBN-13: 9783031877193
• Artikelnr.: 73818954

Inhaltsangabe

.- AI-Enabled Systems.
.- Arabic Mispronunciation Detection for Children in Noisy Environments via Vision Transformers.
.- BaitBlock: Hybrid AI-Approach for Phishing Detection Across Communication Platforms.
.- Stacked Generalization for Overlapping Asymmetric Datasets.
.- Security and Privacy.
.- Reusable Formal Model Libraries for Specifying and Analyzing Security Objectives in Event-B.
.- Towards Specification and Analysis of Dependable Cyber-Physical Systems.
.- The Use of Domain Specific Language for Critical Infrastructures Cyber Security Modeling: Literature Review.
.- A Tool-supported Methodology for Creating Security Cases Using Argument Patterns.
.- Query Processing.
.- In-Memory Spatial-Keyword Indexing and Querying: An Experimental Evaluation.
.- Critical Role of Data Transformation in Preprocessing: Methods, Algorithms, and Challenges.
.- Prediction.
.- Forecasting Patient Arrivals in Emergency Departments Using Time Series Prediction Models: A Research at a Tunisian Emergency Department.
.- AI-Enhanced Urban Crime Prediction: Exploring the Impact of Integrating Digital Behaviour and Economic Data.
.- Application of Artificial Intelligence in Minimizing Voltage Deviation using Neural Network Predictive Controller.
.- Conceptual issues.
.- Multilevel Hypergraph Databases Conceptual Modelling - Approaching CRUD Operations.
.- A GNN-based framework for Ontology Matching.
.- A New Measurement Method for Sizing the Behavioural of BPMN Models.
.- Applications.
.- A Multi-Label Classification Framework for Socioeconomic Insights Using Mobile Traffic and POI Data.
.- Comparative Analysis of Multivariate Time Series Forecasting Methods for Modeling Plastic Extruder Behavior.
.- Transferring Practitioners Learning Experiences to Preserve and Promote Equine Knowledge Heritage.