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.