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

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 i...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
مؤلف مشترك: SpringerLink (Online service)
مؤلفون آخرون: Ordonez, Carlos (المحرر), Sperlì, Giancarlo (المحرر), Masciari, Elio (المحرر), Bellatreche, Ladjel (المحرر)
التنسيق: الكتروني كتاب الكتروني
اللغة:الإنجليزية
منشور في: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
الطبعة:1st ed. 2025.
سلاسل:Lecture Notes in Computer Science, 15590
الموضوعات:
الوصول للمادة أونلاين:https://doi.org/10.1007/978-3-031-87719-3
الوسوم: إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
جدول المحتويات:
  • -- 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.