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The Requirements and Design Modelling Plug-in provides developers with tools to aid in is based on the energy aware modelling of an application, while the Code Optimiser Plug-in provides offline functionality to profiler an application's energy consumption during development.
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The consequence of these observations is the need for a new area within modeling – analysis-aware modeling – in which model properties and parameters are selected to facilitate isogeometric analysis.
Here, we present the R package camb: Chemically Aware Model Builder, which aims to address the current lack of an R framework comprising the four steps mentioned above.
The objective of the research presented in this paper is to derive a Quality of Service aware model of ubiquitous learning services based on typical learning schemes.
Towards building a systematic methodology of algorithm design for applications of networked sensor systems, we formally define two link-wise communication models, the Collision Free Model (CFM) and the Collision Aware Model (CAM).
Adopting the adaptive agent model, an AMDA paradigm, we put forward a security–aware model-driven mechanism by using an extension of the role-based access control (RBAC) model.
To annotate models, software tools such as semanticSBML [ 56], Saint [ 66], Metannogen [ 67] and other MIRIAM-aware modelling tools [ 68- 70] and annotation libraries [ 71] will continue to play a prominent role.
They provide maximum-likelihood based learning method to learn influence parameters in these topic-aware models.
Second, the browsers-aware model can effectively and further improve Web prefetching performance.
This chapter reviews power-aware model in several different ways to explore new analysis possibilities.
They provide learning methods to learn influence parameters in the topic-aware models from real-world data.
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