The usage of models is a fundamental activity in designing and verifying a system.
There has been an explosive growth in the usage of 3D models in recent years due to quantum jump in 3D sensing technology to model, digitize, and visualize 3D shapes.
This project is focused on enhancing model-based design techniques with the ability to include in models semantic information about data (what the data means), to check consistency in the usage of data across models, and to optimize models based on inferences made about the meaning of the data.
In summary, this paper aims to achieve three major goals: (1) to provide a comprehensive tutorial for experienced and non- experienced readers, (2) to propose novel methods that improve the performance of the 2D-AR completion, and (3) to motivate and guide researchers that are interested in the usage of the AR model for texture completion tasks.
The novelty of the current paper lies in the usage of agent-based modeling in conjunction with complex networks as part of the cognitive agent-based computing framework essentially advancing our previous work presented in Laghari and Niazi (2016).
Therefore, the findings of this study enhance the current literature by providing a detailed anatomic description of the rabbit meniscus that will support the usage of this model for future in vivo and in vitro translational biomechanical and surgical research.
This restricts the usage of a model with threshold noise in follow-up studies, e.g., parameter estimation.
The research presented in (Fortuin et al. 2011) highlights the usage of conceptual modeling in facing the challenges given by the complexity and interdisciplinary character of the environmental science curricula.
Model-based development of such applications aims to increase the integrity of these applications through the usage of explicit models employed in clearly defined process steps leading to correct-by-construction artifacts.
Since most users are mainly interested in accessing vast amount of information instead of physical location, the paradigm shift in the usage model of the Internet leads to the investigation of new networking paradigm, namely Information-Centric Networking (ICN) [1].
