Exact(6)
With this strategy we develop a reliable and efficient algorithm to adjust elements to track optimal control profile breakpoints and to ensure accurate state and control profiles.
In our works, by simplifying traditional definitions of DRSA and employing the incremental learning strategy, we develop an algorithm to neglect unnecessary parameters and avoid much redundant computation.
To illustrate the overall strategy, we develop a detailed design of an operating system resource scheduler from a high-level analysis model.
To realize this navigation strategy, we develop: (1) a method of map generation by integrating multiple observation results considering the uncertainties in observation and motion, (2) a fast robot localization method which does not use explicit feature correspondence, and (3) a method of selecting effective viewing directions using the history of observation during the guided movement.
The experimental design strategy we develop in this article offers combinatorial solutions based on approximation algorithms for the well-known max n-cut problem and the related max n-section problem on hypergraphs.
The mapping strategy we develop here is potentially broadly applicable to nonmodel species, capitalizing on the power of massively parallel sequencing to reveal genetic polymorphisms and to accelerate transcriptome analysis.
Similar(54)
To provide some insights towards this adaptation strategy, we developed a novel pest natural enemy model considering both resistance development and inoculative releases of natural enemies.
As an alternative production strategy, we developed baker's yeast Saccharomyces cerevisiae as a microbial host for the transformation of opiates.
On the basis of CRET strategy, we developed a sandwich immunoassay of alpha fetoprotein (AFP) cancer marker.
In an attempt to confront these difficulties and support the objects-first strategy we developed a novel programming environment, objectKarel, which uses the language Karel++.
These results suggest that the strategy we developed is feasible and effective for construction of tissue-engineered full-thickness cornea substitute with critical properties of native cornea.
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