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Napier maradék labda automatic normalization via metamodelling dicséret Fosztogatás gyilkos

A KNOWLEDGE BASED APPROACH FOR AUTOMATIC DATABASE NORMALIZATION | Semantic  Scholar
A KNOWLEDGE BASED APPROACH FOR AUTOMATIC DATABASE NORMALIZATION | Semantic Scholar

Semi-automated metamodel/model co-evolution: a multi-level interactive  approach | SpringerLink
Semi-automated metamodel/model co-evolution: a multi-level interactive approach | SpringerLink

How Much Normalization Is Enough
How Much Normalization Is Enough

Overview of the proposed framework. In the training phase, it outputs... |  Download Scientific Diagram
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

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
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
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
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
Distortion-Free Intelligent Sampling of Sparse Surfaces Via Locally Refined T-Spline Metamodelling | SpringerLink

JMathNorm: A Database Normalization Tool Using Mathematica | 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
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
PDF) Automatic database normalization and primary key generation

Diagram of the Web Application Metamodel. Here all the elements of the... |  Download Scientific Diagram
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 KNOWLEDGE BASED APPROACH FOR AUTOMATIC DATABASE NORMALIZATION | Semantic Scholar

A data-driven metamodel-based approach for point force localization -  ScienceDirect
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
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
Automatic Normalisation via Metamodelling - Kent Academic Repository

A KNOWLEDGE BASED APPROACH FOR AUTOMATIC DATABASE NORMALIZATION | Semantic  Scholar
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
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
Processes | Free Full-Text | Upscaling Porous Media Using Neural Networks: A Deep Learning Approach to Homogenization and Averaging

Scalable Automatic Machine Learning in H2O
Scalable Automatic Machine Learning in H2O