Model and Data Engineering: 13th International Conference, MEDI 2024, Naples, Italy, November 18-20, 2024, Proceedings

by Carlos Ordonez (Editor), Giancarlo Sperlì (Editor), Elio Masciari (Editor), Ladjel Bellatreche (Editor)

Overview

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.

Product Details

ISBN-13:	9783031877193
Publisher:	Springer-Verlag New York, LLC
Publication date:	05/10/2025
Series:	Lecture Notes in Computer Science , #15590
Sold by:	Barnes & Noble
Format:	eBook
File size:	34 MB
Note:	This product may take a few minutes to download.

Table of Contents

.- 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.