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Model and Data Engineering

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Cover of 'Model and Data Engineering'

Table of Contents

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    Book Overview
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    Chapter 1 A Comparative Analysis of Time Series Prediction Techniques a Systematic Literature Review (SLR)
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    Chapter 2 A Formal Metamodel for Software Architectures with Composite Components
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    Chapter 3 A Floating-Point Numbers Theory for Event-B
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    Chapter 4 Model-Based Testing Approach for EIP-1559 Ethereum Smart Contracts
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    Chapter 5 Execution Planning for Aggregated Search in the Web of Data: A Free-Metadata Approach
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    Chapter 6 Discovering Relationships Between Heterogeneous Declarative Mappings for RDF Knowledge Graph
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    Chapter 7 Exploring Synthetic Noise Algorithms for Real-World Similar Data Generation: A Case Study on Digitally Twining Hybrid Turbo-Shaft Engines in UAV/UAS Applications
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    Chapter 8 Understanding Mobile Game Reviews Through Sentiment Analysis: A Case Study of PUBGm
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    Chapter 9 Data-Driven and Model-Driven Approaches in Predictive Modelling for Operational Efficiency: Mining Industry Use Case
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    Chapter 10 Approach Based on Bayesian Network and Ontology for Identifying Factors Impacting the States of People with Psychological Problems from Data on Social Media
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    Chapter 11 Social Recommendation Using Deep Auto-encoder and Confidence Aware Sentiment Analysis
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    Chapter 12 Deep Learning Based on TensorFlow and Keras for Predictive Monitoring of Business Process Execution Delays
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    Chapter 13 OntoFD: A Generic Social Media Fake News Ontology
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    Chapter 14 Finding a Second Wind: Speeding Up Graph Traversal Queries in RDBMSs Using Column-Oriented Processing
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    Chapter 15 Ontology Matching Using Multi-head Attention Graph Isomorphism Network
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    Chapter 16 Investigating the Perceived Usability of Entity-Relationship Quality Frameworks for NoSQL Databases
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    Chapter 17 Fuzzy HealthIoT Ontology for Comorbidity Treatment
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    Chapter 18 Advancing Brain Tumor Segmentation via Attention-Based 3D U-Net Architecture and Digital Image Processing
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    Chapter 19 Breast Cancer Detection Based DenseNet with Attention Model in Mammogram Images
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    Chapter 20 AI-LMS: AI-Based Long-Term Monitoring System for Patients in Pandemics: COVID-19 Case Study
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    Chapter 21 Cardiovascular Anomaly Detection Using Deep Learning Techniques
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    Chapter 22 Real-Time Mitigation of Trust-Related Attacks in Social IoT
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    Chapter 23 Hybrid Data-Driven and Knowledge-Based Predictive Maintenance Framework in the Context of Industry 4.0
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    Chapter 24 Enhancing Semantic Image Synthesis: A GAN-Based Approach with Multi-Feature Adaptive Denormalization Layer
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    Chapter 25 Towards an Effective Attribute-Based Access Control Model for Neo4j
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    Chapter 26 GRU-Based Forecasting Model for Energy Production and Consumption: Leveraging Random Forest Feature Importance
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    Chapter 27 Localizing Non-functional Code Bugs in User Interfaces Using Deep Learning Techniques
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Title
Model and Data Engineering
Published by
Springer Nature Switzerland, January 2024
DOI 10.1007/978-3-031-49333-1
ISBNs
978-3-03-149332-4, 978-3-03-149333-1
Editors

Mosbah, Mohamed, Kechadi, Tahar, Bellatreche, Ladjel, Gargouri, Faiez

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