## What is/are Meta Model?

Meta Model - We propose a framework that presents a meta model to decompose sustainability requirements and an assessment approach to evaluate sustainability achievements.^{[1]}A customized stacked model is created to train production models with an extreme gradient boosting regressor as the base model and linear regressor as the meta model.

^{[2]}MAML is one of the most popular meta-learning algorithms that estimates initialization parameters for a meta model to be used by similar newer tasks for faster adaptation.

^{[3]}In order to integrate their individual strengths, DeepVF effectively combines these baseline models to construct the final meta model using the stacking strategy.

^{[4]}Logistic regression algorithm was applied for the meta model.

^{[5]}Finally, the optimal parameters of the bionic corrugated sandwich structures were obtained by using the multi-objective particle swarm optimization method based on a polynomial regression (PR) meta model.

^{[6]}This study also shows that the weighted meta model outperforms several machine learning models in terms of R2, MAE and RSME.

^{[7]}By using a set of meta tasks with rich training samples, Meta-MO trains a meta model through the meta-learning optimization and adapts the learned model to new low-resource MO tasks.

^{[8]}To achieve this objective, (1) this study explored the predictors of senile anxiety using base models and meta models.

^{[9]}Aiming at the difficulties of data integration and consistency maintenance caused by product BOM differences, based on the analysis of product data meta-models and product requirements, the data meta models in the stages of product design, process manufacturing, sales and operation, and maintenance services are Foundation, put forward a unified meta-model that supports the full life cycle of the product, and verify the validity of the model through product examples.

^{[10]}The lower efforts and lower risk of errors in the code provided by high level meta modeling allows to speed up the development cycle and required application dependent adaptations of signal generation in carrier frequency based capacitive sensor front-ends.

^{[11]}The paper presents simply Meta model of workplace spirituality with short snap of authors, key findings, basic model and propositions based on the reviewed literature.

^{[12]}Various passive design factors were considered to better reflect the actual phenomenon, and a novel simulation modeling method which includes building model simplification and meta model was developed for an accurate and fast calculation of optimization.

^{[13]}The meta model formed by the metaheuristic and classification techniques shows an improvement in accuracy performance at a high rate, as compared to non-metaheuristic models.

^{[14]}Particularly, a meta model is proposed.

^{[15]}Durch eine Verschiebung der fur die eventbezogene Wirkungsforschung typischen „Controller-Perspektive“ vom Beobachten zum Gestalten, ausgehend von den erwunschten Zielen, kann es das betreffende Methodenspektrum des Eventmanagements in sinnvoller Weise erganzen und eignet sich, im Sinne eines „Meta Modells“, fur die Erreichung von Nachhaltigkeitszielen von Sport- und Kulturevents.

^{[16]}Aerodynamic robustness optimization of centrifugal compressor impeller under multiple uncertainties is an arduous task, due to high dimension, meta modelling workload and trial and error optimization, and an automatic optimization process is often treated as a black box, the underlying mechanism are often not well understood and explored.

^{[17]}This is accomplished by sampling the space of component performance, here represented by eigenvalues and eigenvectors of stiffness matrices, and establishing meta models that map the relevant component performance values onto feasibility and mass estimates.

^{[18]}Radial basis function (RBF) and the Kriging model are built as the meta models, and the cross validation strategy is applied to calculate the global errors and the local errors of samples.

^{[19]}In the second approach “SATBIM”, a fully automated data exchange workflow is established between a parametric multi-level information model for tunnelling and multi-level numerical models based on both Finite Element and Isogeometric Analysis, where meta models are employed for real-time design assessment.

^{[20]}First, the intrinsic semantic relationship of each object in the sticker is established by an Object-Orient Meta Model.

^{[21]}The proposed meta modeling framework is able to identify hyper-parameter configurations with a weighted trade-off between prediction accuracy and computational cost.

^{[22]}The aim of this paper is therefore to describe a concept how modelers of information systems can be supported in the selection and use of IHE profiles and how this concept was prototypically implemented in the "Three-layer Graph-based meta model" modeling tool (3LGM2 Tool).

^{[23]}As an extension to the proposed approach, the ontological meta model of the cyber risk concept is developed.

^{[24]}The first level contains seven different base ML algorithms predicting each subject's pain category based on the input PPG characteristics and other clinical information, while the second level is a meta model which uses the inputs to the first-level model along with the outputs of the base models to produce the final prediction.

^{[25]}For this reason, this paper presents an ontology based upon graphs, objects, points, properties, roles, and relationships with entensions (GOPPRRE), providing meta models that support the various lifecycle stages of MBSE formalisms.

^{[26]}In order to avoid conflicts between these project vocabularies and the JATS, we reviewed the MECA vocabularies against the NISO JATS Compatibility Meta Model (v0.

^{[27]}Particularly a Meta Model is proposed.

^{[28]}, nucleation, micro-crack, technical, and crack initiation, that allow a quantification and meta model development of both the individual stages and the entire crack nucleation process.

^{[29]}A comprehensive simulation meta model for transition planning and decision analysis is proposed and outlined.

^{[30]}While the existing meta model focused on static quality measures, the extension of the meta model now also captures dynamic measures which accumulate during feature execution.

^{[31]}The proposed method uses Response Surface method based meta models for the analysis allowing high computational efficiency compared to that of the Monte Carlo methods.

^{[32]}Connections of formal concept analysis with Meta Meta Model architectures and high-dimensional polytopes are exposed.

^{[33]}Meta modeling technique is highly beneficial that helps to define things at an abstract level and helps in sorting out the associated problems by identifying major components and reducing complexity to requirement engineer.

^{[34]}In this paper, a GOPPRR approach is proposed to describe system characteristics and system development based on meta-models for different architecture descriptions using meta-meta models including Graph, Object, Point, Property, Role, and Relationship.

^{[35]}We introduce an assessment procedure, its underlying meta model, and a corresponding instantiation to structure this multi-dimensional design space.

^{[36]}In the current study, classical models and meta model approaches (i.

^{[37]}A genetic algorithm is used for the optimization, integrated with a meta model which predicts the objective functions quickly.

^{[38]}We integrate our findings by developing a conceptual modeling language consisting of a meta model and a notation that facilitates the specification and design of autonomous agents within the IoT as well as CPS: the autonomy model and notation.

^{[39]}The contribution of this paper is to provide a meta model as a first groundwork for a possible Blockchain implementation for supply chain traceability purposes.

^{[40]}In the previous chapter, you have seen that changing the way we write queries cannot be separate from the structure of the underlying meta model.

^{[41]}These initial meta models are utilized for the development of intermediate models.

^{[42]}We propose to categorize content objects and relationships uniformly as typed resources of data, information, and knowledge, according to our formalized DIKW architecture composing a meta model of DIKW and extended Data Graph, Information Graph and Knowledge Graph.

^{[43]}The analysis is based on `meta models' obtained using model-averaging techniques and judged by various statistical and economic criteria, including a novel criterion based on a fair bet.

^{[44]}The paper presents an investigation of the temporal transferability of activity scheduling process models and a Meta model of activity scheduling processed by using repeated cross-sectional datasets.

^{[45]}Accordingly, the ISPs’ business model, in the scope of connectivity service providers, based on the selected meta model (Hedman and Kalling’s ontology) at the industry level is analyzed.

^{[46]}a four-stage model for the design of trusted processes and a related meta model.

^{[47]}We illustrate the use of multi-level modeling on the basis of a multi-level reference model for smart grid cybersecurity created using the Flexible Meta Modeling and Execution Language (FMMLx), and briefly showcase an implementation in the integrated modeling and programming environment XModeler.

^{[48]}Modal Meta Model Checking (M3C) is a method and tool supporting meta-level product lining and evolution that comprises both context-free system structure and modal refinement.

^{[49]}Although one term is insufficient to fully capture hyperelastic models with higher number of terms, the resulting meta model is stable for real-time simulation within a wider range of stretches captured during mechanical characterisation of soft tissue.

^{[50]}

## Existing Meta Model

While the existing meta model focused on static quality measures, the extension of the meta model now also captures dynamic measures which accumulate during feature execution.^{[1]}The systematic is based on existing meta models.

^{[2]}

## Underlying Meta Model

We introduce an assessment procedure, its underlying meta model, and a corresponding instantiation to structure this multi-dimensional design space.^{[1]}In the previous chapter, you have seen that changing the way we write queries cannot be separate from the structure of the underlying meta model.

^{[2]}

## Simulation Meta Model

A comprehensive simulation meta model for transition planning and decision analysis is proposed and outlined.^{[1]}A comprehensive simulation meta model for transition planning and decision analysis is proposed and outlined.

^{[2]}