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The introduction of atomic-scale defects in a controllable manner and the understanding of their effect on the characteristics of graphene are essential to develop many applications based on this two-dimensional material.
These parameters are comparable or even superior to commercially available silicon carbide, silicon and indium gallium arsenide photodetectors, indicating the possibility of many applications based on broadband detection utilizing our devices.
Many applications based on distributed resources use the so-called software agent technology.
Nanostructured ZnO thin films required a controlled fabrication process for many applications based on semiconductor devices.
And there are many applications based on HFS such as, multi-criteria decision making [9, 39], group decision making [44], evaluation [46], and clustering approaches [2].
Although many applications based on CNTs have been made and many more in the process [4, 5, 6, 7], repeatability and selectivity in CNTs growth create a huge obstacle in the way of industrialization of CNTs-based applications; all these are due to the lack of stabilization of growth as well as understanding in CNTs growth mechanism.
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There have been many medical applications based on gold nanoparticles (GNPs) over the past several centuries.
In addition, there are many possible applications based on the extended IO table, such as computable general equilibrium models and environmental analyses.
Finally, there are many interesting applications based on such networks, including (but definitely not limited to) ranking individuals and their groups, link prediction, information diffusion, recommendation, and pattern analysis (e.g., [5, 14, 22]).
Due to their unique properties, such as large internal void, doubled surface area, and low density, hollow spheres have attracted considerable interest in the past few decades, and many potential applications based on hollow spheres also have been demonstrated [1].
Clustering techniques are widely used in many different applications based on NGS data, from error correction [ 20] to the discovery of groups of microRNAs [ 21].
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