Napier maradék labda automatic normalization via metamodelling dicséret Fosztogatás gyilkos
A KNOWLEDGE BASED APPROACH FOR AUTOMATIC DATABASE NORMALIZATION | Semantic Scholar
Semi-automated metamodel/model co-evolution: a multi-level interactive approach | SpringerLink
How Much Normalization Is Enough
Overview of the proposed framework. In the training phase, it outputs... | Download Scientific Diagram
A KNOWLEDGE BASED APPROACH FOR AUTOMATIC DATABASE NORMALIZATION | Semantic Scholar
A KNOWLEDGE BASED APPROACH FOR AUTOMATIC DATABASE NORMALIZATION | Semantic Scholar
PDF] Formalization and Verification of Relational Database Normal Forms Using the Gamma Framework | Semantic Scholar
Modelling | Free Full-Text | Data Integration and Interoperability: Towards a Model-Driven and Pattern-Oriented Approach
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A data-driven metamodel-based approach for point force localization - ScienceDirect
Distortion-Free Intelligent Sampling of Sparse Surfaces Via Locally Refined T-Spline Metamodelling | SpringerLink
JMathNorm: A Database Normalization Tool Using Mathematica | SpringerLink
Electronics | Free Full-Text | Design and Implementation of a Metadata Repository about UML Class Diagrams. A Software Tool Supporting the Automatic Feeding of the Repository
PDF) Automatic database normalization and primary key generation
Diagram of the Web Application Metamodel. Here all the elements of the... | Download Scientific Diagram
A KNOWLEDGE BASED APPROACH FOR AUTOMATIC DATABASE NORMALIZATION | Semantic Scholar
A data-driven metamodel-based approach for point force localization - ScienceDirect
PDF) Metamodel and Language: Towards an Unified Modeling Language (UML) Profile for Systems Biology
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Automatic Normalisation via Metamodelling - Kent Academic Repository
A KNOWLEDGE BASED APPROACH FOR AUTOMATIC DATABASE NORMALIZATION | Semantic Scholar
Real-time Bayesian damage identification enabled by sparse PCE-Kriging meta-modelling for continuous SHM of large-scale civil engineering structures - ScienceDirect
Processes | Free Full-Text | Upscaling Porous Media Using Neural Networks: A Deep Learning Approach to Homogenization and Averaging