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  • Produktbild: Model and Data Engineering
Band 14396

Model and Data Engineering 12th International Conference, MEDI 2023, Sousse, Tunisia, November 2–4, 2023, Proceedings

Aus der Reihe Lecture Notes in Computer Science

73,99 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

03.01.2024

Herausgeber

Mohamed Mosbah + weitere

Verlag

Springer

Seitenzahl

396

Maße (L/B/H)

23,5/15,5/2,3 cm

Gewicht

622 g

Auflage

1st edition 2024

Sprache

Englisch

ISBN

978-3-031-49332-4

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

03.01.2024

Herausgeber

Verlag

Springer

Seitenzahl

396

Maße (L/B/H)

23,5/15,5/2,3 cm

Gewicht

622 g

Auflage

1st edition 2024

Sprache

Englisch

ISBN

978-3-031-49332-4

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Model and Data Engineering
  • Produktbild: Model and Data Engineering
  • Modelling.-  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.