05176nam a22005295i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001300153072001600166072002300182072001500205245023000220250001800450264006900468300006800537336002600605337002600631338003600657347002400693490005900717505260900776520044303385650002603828650002503854650002503879650001703904650002203921650002603943650003703969650002504006650004104031650002204072700007804094700007704172700008204249700007804331710003404409773002604443776003604469776003604505830005904541856004604600978-3-031-49333-1DE-He21320251030110858.0cr nn 008mamaa231221s2024    sz |    s    |||| 0|eng d  a97830314933317 a10.1007/978-3-031-49333-12doi 4aQA76.758 7aUMZ2bicssc 7aCOM0512302bisacsh 7aUMZ2thema10aModel and Data Engineeringh[electronic resource] :b12th International Conference, MEDI 2023, Sousse, Tunisia, November 2–4, 2023, Proceedings /cedited by Mohamed Mosbah, Tahar Kechadi, Ladjel Bellatreche, Faiez Gargouri.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aXIII, 396 p. 130 illus., 116 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aLecture Notes in Computer Science,x1611-3349 ;v143960 aModelling -- A Comparative Analysis of Time Series Prediction Techniques –A Systematic Literature Review (SLR) -- A Formal Metamodel with Composite Components -- A floating-point numbers theory for Event-B -- Model based testing approach for EIP-1559 Ethereum Smart contracts -- Execution planning in aggregated search in the web of data without using metadata -- Discovering Relationships between Heterogeneous declarative Mappings for RDF Knowledge Graph -- Machine Learning and Optimization -- Exploring Synthetic Noise Algorithms for Real-world Similar Data Generation: A Case Study on Digitally Twining Hybrid Turbo-shaft Engines in UAV/UAS Applications -- Understanding Mobile Game Reviews Through Sentiment Analysis: A Case Study of PUBGm -- Data-Driven and Model-Driven Approaches in Predictive Modeling for Operational Efficiency: Use case mining industry -- Approach based on Bayesian network and ontology for identifying factorsimpacting the states of people with psychological problems from data on social media -- Social recommendation using deep auto-encoder and confidence aware sentiment Analysis -- Deep Learning Based on TensorFlow and Keras for Predictive Monitoring of Business Process Execution Delays -- Ontology and Database Systems -- OntoFD: A Generic Social Media Fake News Ontology -- Finding a Second Wind: Speeding Up Graph Traversal Queries in RDBMSs Using Column-Oriented Processing -- Ontology matching using multi-head attention graph isomorphism network -- Investigating the Perceived Usability of Entity-Relationship Quality Frameworks for NoSQL Databases -- Fuzzy HealthIoT ontology for comorbidity treatment -- Healthcare Applications -- Advancing Brain Tumor Segmentation via Attention-based 3D U-Net Architecture and Digital Image Processing -- Breast Cancer Detection based DenseNet with Attention model in Mammogram Images -- AI-based Long-term Monitoring System for patients in pandemics: COVID-19 case study -- Cardiovascular Anomaly Detection using Deep Learning Techniques -- Applications and Security -- Real-Time Mitigation of Trust-Related Attacks in Social IoT -- Hybrid Data-driven and Knowledge-based Predictive Maintenance Framework in the Context of Industry 4.0 -- Enhancing Semantic Image Synthesis: A GAN-Based Approach with Multi-Feature Adaptive Denormalization Layer -- Towards an Effective Attribute-based Access Control Model for Neo4j -- GRU-Based Forecasting Model for Energy Production and Consumption: Leveraging Random Forest Feature Importance -- Localizing Non-Functional Code Bugs in User Interfaces using Deep Learning Techniques. .  aThis volume LNCS 14396 constitutes the refereed proceedings of the 12th International Conference, MEDI 2023,in November 2023 ,held in Sousse, Tunisia. The 27 full papers were carefully peer reviewed and selected from 99 submissions. The Annual International Conference on Model and Data Engineering focuses on bring together researchers and practitioners and enabling them to showcase the latest advances in modelling and data management. 0aSoftware engineering. 0aComputer networks . 0aDatabase management. 0aData mining. 0aMachine learning.14aSoftware Engineering.24aComputer Communication Networks.24aDatabase Management.24aData Mining and Knowledge Discovery.24aMachine Learning.1 aMosbah, Mohamed.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt1 aKechadi, Tahar.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt1 aBellatreche, Ladjel.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt1 aGargouri, Faiez.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303149332408iPrinted edition:z9783031493348 0aLecture Notes in Computer Science,x1611-3349 ;v1439640uhttps://doi.org/10.1007/978-3-031-49333-1