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We take the largest connected component as the network to study.
In this paper, we adopt back-propagation neural network to study the relationship between folding rate and protein structure.
In a series of studies, we applied a neural network to study the neural bases of latent inhibition.
High concentration (50 60 wt% CNT CNTT reinforced bismaleimide (CNT/BMI) nanocomposites are fabricated from the aligned network to study mechanical properties and microstructures.
Furthermore, the grouping of GIS and modeling as an operating tool allows managers to diagnosis the network, to study the solutions of problems and to predict future situations.
The grouping of GIS and modeling as an operating tool allows managers to diagnosis a network, to study solutions of problems and to predict future situations.
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The present study employs the concepts of complex networks to study the spatial connections in rainfall, with emphasis on climate change and rainfall scaling.
This study employs the concepts of complex networks to study the temporal dynamics of streamflow, with emphasis on annual scale (i.e., year-to-year connections).
This research investigates the applicability of Bayesian decision networks to study the impact of design decisions on the life cycle performance, including environmental friendliness, of a product.
Applying bibliometrics to citation networks to study the impact of fields, individuals, and particular papers has been the purview of the field of scientometrics [1].
To the best of our knowledge, this is the first time this has been done Secomb, Pries and co-workers (e.g. [5], [6]) have used such networks to study structural adaptation alone.
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