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We have designed modern textile SMART fabrics that have two state changes in their pattern by using a new thermochromic composite yarn.
A software design tool has been developed for optimization of in-core fuel loading pattern by using a biologically inspired computational search algorithms including Particle Swarm optimization.
The proposed method establishes a group of partial sub-regions, defined by regional feature set, and then fits a finite number of classifiers to the data pattern by using a genetic algorithm in every sub-region.
In this work, air plasma treatment of polystyrene (PS) films was selectively carried out on a pre-defined pattern by using a micro-plasma needle set-up in an efficient one-step process.
However, no study thus far has presented the RTI pattern by using a matrix frame.
We design a personalized fitting pattern by using a training set which comes from the similarity score set with regard to the target user and target item.
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We suggest that the Australian desert ant Melophorus bagoti approximates a Lévy search pattern by using an intrinsic bi-exponential walk and does so when a Lévy search pattern is advantageous.
Selected biomarkers were used to classify normal and abnormal patterns by using a boosted decision tree (BDT) classifier.
It is a simulation approach iteratively combining the variability of different diet patterns by using a simplex mixture design.
In fringe projection profilometry, a simplified method is proposed to recover absolute phase maps of two-frequency fringe patterns by using a unique mapping rule.
Specifically, we aim to suppress patterns by using a spatially weighted finite-dimensional feedback control that assures stability of the solution according to Lyapunov's direct method.
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CEO of Professional Science Editing for Scientists @ prosciediting.com