Exact(2)
"Specifically designed for enterprise-class applications, WD's RE4 2TB drives incorporate the best combination of features, optimum performance, and superior reliability that customers have come to expect from WD," said Tom McDorman, vice president and general manager of enterprise storage solutions for WD.
The study addresses the significance of the perforated plate geometric features, optimum balance of air superficial velocity and water column height, and the influence of inlet water temperature and inlet air relative humidity on the performance of the humidifier.
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We anticipated that through identifying such features, an optimum learning environment would emerge.
Solvents are initially designed in a solvent-process screening stage where conceptual process models are optimized to identify solvent options and process features of optimum economic performance.
For maximizing tenofovir entrapment, percutaneous permeation, and mucoadhesion while achieving sustained-release features, an optimum formulation was proposed with the shortest length of fatty chain and 0.48 mM cholesterol content.
Finally, the electrode thickness featured an optimum corresponding to a compromise between accommodating large amounts of intercalated lithium and minimizing the potential drop across the electrode to drive faradaic reactions.
Principal Components Analysis (PCA) was used in order to find the optimum features from the extracted features.
Support Vector Machine methods based on Recursive Feature Elimination (SVMRFE) refine the optimum feature set by using SVM-train to compute the ranking criteria, which eliminate the feature with smallest ranking criterion [ 8, 9].
ERPs were recorded in a passive condition with the multi-feature paradigm ("Optimum-1"), which was shown to be a fast and eligible method for obtaining several ERPs reflecting different stages of auditory processing in adults [ 40– 42], school-aged children [ 43, 44], and toddlers [ 45, 46].
Understanding this, vision community is moving towards learning the optimum features itself instead of learning from the features.
One recent well-known wrapper method for feature/gene selection is Support Vector Machine Recursive Feature Elimination (SVMRFE) [14], which refines the optimum feature set by using Support Vector Machines SVMM).
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Justyna Jupowicz-Kozak
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