For many years, image regularization with discontinuities (edges) preservation has been studied in the computer vision community.
In applied settings, interruptions have most often been studied in sequential computer tasks, where errors are typically step omissions or repetitions (Trafton, Altmann, & Ratwani, 2011).
On the other hand, recently, domain theory has been studied in theoretical computer science, as a mathematical theory of semantics of programming languages (Edalat [10], Gierz et al. [17], etc).
Calculating a product of multiple graphs has been studied in mathematics, engineering, computer science, and more recently in network science, particularly in the context of multilayer networks.
Our intention was to test feedforward segregation of textures that previously had been studied in primates and computer models, and which are believed to depend on recurrent processing.
This problem has been studied in recent years in the computer vision community, but the proposed solutions still suffer from some limitations due to the difficulty of dealing with complex scenes (e.g., occlusions, different view points, etc).
The application of in-situ methane enrichment for upgrading the biogas from anaerobic digestion to vehicle fuel or natural gas quality, has been studied in pilot scale and by computer simulation of the desorption step.
A GKA tool visualizing self-assessed learner knowledge, their partner's self-assessed knowledge, and thus the distribution of knowledge, was studied in a computer-mediated collaborative learning scenario.
To gain a deeper insight into shape selectivity on zeolites, ethylbenzene disproportionation was studied in detail by computer simulation and experiment.
The local kinetics and topological phenomena during normal grain growth were studied in two dimensions by computer simulations employing a continuum diffuse-interface field model.
