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Record Nr. |
UNINA9910631092303321 |
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Titolo |
Model and data engineering : 11th international conference, MEDI 2022, Cairo, Egypt, November 21-24, 2022, proceedings / / Philippe Fournier-Viger, Ahmed Hassan, Ladjel Bellatreche (editors) |
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Pubbl/distr/stampa |
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Cham, Switzerland : , : Springer, , [2023] |
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©2023 |
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ISBN |
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Descrizione fisica |
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1 online resource (273 pages) |
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Collana |
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Lecture notes in computer science ; ; Volume 13761 |
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Disciplina |
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Soggetti |
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Data mining |
Software engineering |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di contenuto |
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Intro -- Preface -- Organization -- Abstracts of Invited Talks -- A Service-Based Approach to Drone Service Delivery in Skyway Networks -- Broad and Deep Learning of Big Heterogeneous Health Data for Medical AI: Opportunities and Challenges -- Contents -- Image Processing and Diagnosis -- Chaos-Based Image Encryption Using DNA Manipulation and a Modified Arnold Transform -- 1 Introduction -- 2 Preliminaries -- 2.1 Hyperchaotic Lorenz System -- 2.2 DNA Coding -- 2.3 Arnold Transform -- 3 Proposed Algorithm -- 3.1 Modified Arnold Transform -- 3.2 Encryption Process -- 3.3 Decryption Process -- 4 Performance Evaluation -- 4.1 Encryption Quality Metrics -- 4.2 Correlation Analysis -- 4.3 Information Entropy -- 4.4 Key Space and Sensitivity Analysis -- 4.5 Robustness Against Differential Attacks -- 5 Conclusion -- References -- Rice Plant Disease Detection and Diagnosis Using Deep Convolutional Neural Networks and Multispectral Imaging -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Hardware Components -- 3.2 Data Collection Mobile Application -- 3.3 Analytics Engine Module -- 4 Experimental Evaluation -- 4.1 Dataset -- 4.2 Training Configuration -- 5 Conclusion -- References -- A Novel Diagnostic Model for Early Detection of Alzheimer's Disease Based on Clinical and Neuroimaging Features -- 1 Introduction -- 2 Materials and Methods -- 2.1 Proposed |
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Model -- 2.2 Dataset -- 2.3 Data Preprocessing -- 2.4 Feature Extraction -- 2.5 Classification Approaches -- 2.6 Performance Evaluation -- 2.7 Performance Optimization -- 3 Results -- 4 Conclusion -- References -- Machine Learning and Optimization -- Benchmarking Concept Drift Detectors for Online Machine Learning -- 1 Introduction -- 2 Background and Related Work -- 2.1 Background -- 2.2 Related Work -- 3 Benchmark Setup -- 3.1 Datasets -- 3.2 Benchmarked Algorithms -- 3.3 Metrics. |
4 Results -- 4.1 Drift Detection Accuracy -- 4.2 Runtime -- 4.3 Memory Consumption -- 5 Conclusion and Future Work -- References -- Computational Microarray Gene Selection Model Using Metaheuristic Optimization Algorithm for Imbalanced Microarrays Based on Bagging and Boosting Techniques -- 1 Introduction -- 2 Methodology -- 2.1 Emperor Penguin Optimization (EPO) -- 2.2 Adaptive Synthetic Sampling Approach (ADASYN) -- 2.3 Random Forest Classifier (RF) -- 2.4 EPO for Feature Selection -- 3 Experimental Results and Discussion -- 4 Conclusion -- References -- Fuzzing-Based Grammar Inference -- 1 Introduction -- 2 Preliminaries -- 3 Algorithm -- 3.1 Learning Context-Free Grammars -- 3.2 Example -- 3.3 Application in Grammar-Based Fuzzing -- 4 Experiments and Evaluation -- 5 Related Work -- 6 Conclusion -- References -- Natural Language Processing -- In the Identification of Arabic Dialects: A Loss Function Ensemble Learning Based-Approach -- 1 Introduction -- 2 Related Work -- 3 Dataset -- 4 Methods -- 4.1 Data Preprocessing -- 4.2 Pre-trained Models -- 4.3 Loss Functions -- 4.4 Proposed Ensemble Learning Model -- 5 Results and Discussion -- 5.1 Experimental Results -- 5.2 Discussion -- 6 Conclusion and Future Works -- References -- Emotion Recognition System for Arabic Speech: Case Study Egyptian Accent -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Datasets -- 3.2 Features Extraction -- 3.3 Features Importance -- 3.4 Feature Scaling -- 3.5 Machine Learning Models -- 3.6 Evaluation Metrics -- 4 Results and Discussions -- 4.1 Corpus Survey Analysis -- 4.2 Speech Emotion Recognition Experiments -- 5 Conclusion -- References -- Modelling -- Towards the Strengthening of Capella Modeling Semantics by Integrating Event-B: A Rigorous Model-Based Approach for Safety-Critical Systems -- 1 Introduction -- 2 Related Works and Preliminaries. |
2.1 Background -- 2.2 Overview of Capella and Event-B -- 2.3 Motivating Example: Adaptive Exterior Light System -- 3 Proposed Approach -- 3.1 Preparatory Step -- 3.2 Transformation Step -- 4 Tooling -- 5 Conclusion and Future Works -- References -- A Reverse Design Framework for Modifiable-off-the-Shelf Embedded Systems: Application to Open-Source Autopilots -- 1 Introduction -- 2 Background and Work Positioning -- 2.1 COTS and MOTS -- 2.2 Autopilots of Unmanned Aerial Vehicles -- 2.3 UAV Autopilot Design -- 2.4 Reverse Engineering -- 2.5 Capella in a Nutshell -- 3 Model-Based Reverse-Engineering Framework -- 3.1 Overview -- 3.2 Extraction -- 3.3 Visualisation -- 4 The Framework Implementation -- 4.1 Extraction Part -- 4.2 Visualisation Part -- 5 Validation -- 6 Conclusion -- References -- Efficient Checking of Timed Ordered Anti-patterns over Graph-Encoded Event Logs -- 1 Introduction -- 2 Background -- 2.1 Events, Traces, Logs, and Graphs -- 2.2 Activity Order Patterns -- 3 Related Work -- 4 Graph-Encoded Event Logs for Efficient Compliance Checking -- 4.1 Baseline: Multi-dimensional Graph Modeling (BM) -- 4.2 Unique Activities (UA) Encoding -- 5 Evaluation -- 5.1 Implementation and Experimental Setup -- 5.2 Results and Discussion -- 6 Conclusion and Future Work -- References -- Trans-Compiler-Based Database Code Conversion Model for Native Platforms |
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and Languages -- 1 Introduction -- 2 Literature Reviews -- 2.1 Cross-platform Development Approaches -- 2.2 Cross-platform Native-to-Native Tools Supporting Database Conversion -- 3 Background -- 4 Methodology -- 4.1 Proposed Enhanced Methodology -- 4.2 Proposed Enhanced Solution Architecture -- 5 Results and Discussion -- 5.1 The Percentage of the Successful Conversion of Firestore Code -- 5.2 The Improvement of the Overall Conversion Rate for an Entire Application. |
5.3 Comparison Between Conversion Runtime Before and After Supporting Firestore Code Conversion -- 6 Conclusion and Future Work -- References -- MDMSD4IoT a Model Driven Microservice Development for IoT Systems -- 1 Introduction -- 2 Related Work -- 3 The MDMSD4IoT Approach -- 3.1 SysML4IoTMSA Profile -- 3.2 IoTMSADev Method -- 3.3 SysML2IoTMSA Code Generator -- 4 A Case Study: UC2SmartClassroom -- 4.1 Modelling Microservices-based IoT Systems -- 4.2 Microservice Architecture Implementation -- 5 Conclusion and Future Work -- References -- Database Systems -- Parallel Skyline Query Processing of Massive Incomplete Activity-Trajectories Data -- 1 Introduction -- 2 Related Work -- 3 DMTR-Tree Index Overview -- 4 Problem Statement of Skyline Trajectory Query -- 5 An Optimized Trajectory Skyline Algorithm -- 5.1 Short Trajectories Class -- 5.2 Long Trajectories Class -- 6 Experimental Evaluation -- 6.1 The Performance of the Run-Time and Trajectory Visited Based on the Activity Keywords Number -- 6.2 The Performance of the Run-Time and Trajectory Visited Based on the Distance Threshold -- 7 Conclusion -- References -- Compact Data Structures for Efficient Processing of Distance-Based Join Queries -- 1 Introduction -- 2 Background and Related Work -- 2.1 Distance-Based Join Queries - KCPQ and DJQ -- 2.2 k2-tree -- 3 Our Approach to DJQs Using k2-trees -- 4 Experimental Results -- 5 Conclusions and Future Work -- References -- Towards a Complete Direct Mapping from Relational Databases to Property Graphs -- 1 Introduction -- 2 Preliminaries -- 2.1 Relational Databases -- 2.2 Property Graphs -- 2.3 SQL Queries and Cypher Queries -- 2.4 Direct Mapping (DM) -- 3 Complete Mapping (CM) -- 3.1 Schema Graph and Instance Graph -- 3.2 Schema Mapping (SM) -- 3.3 Instance Mapping (IM) -- 4 Properties of CM -- 4.1 Information Preservation -- 4.2 Query Preservation. |
4.3 Semantic Preservation -- 5 Conclusion and Future Works -- References -- A Matching Approach to Confer Semantics over Tabular Data Based on Knowledge Graphs -- 1 Introduction -- 2 Key Notions -- 3 Literature Review -- 4 The Kepler-aSI Approach -- 4.1 Preprocessing Module -- 4.2 Query Engine Module -- 4.3 External Resource Consultation Module -- 4.4 KG_Candidates Filtering Module -- 4.5 Annotation and File Generation Module -- 5 Kepler-aSI Performance and Results -- 5.1 Round 1 -- 5.2 Round 2 -- 5.3 Round 3 -- 6 Conclusion and Outlooks -- References -- JUpdate: A Temporal Update Language for JSON Data -- 1 Introduction -- 2 Background and Motivation -- 2.1 The JSchema Framework -- 2.2 Motivating Example -- 3 The JUpdate Language -- 3.1 Syntax and Semantics of JUpdate Update HLOs -- 4 Running Example Reprise -- 5 Conclusion -- References -- Author Index. |
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