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An automated image classification system has been designed which extracts leaf textures and employs a fuzzy real-time classification technique.
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It is now becoming apparent that algorithms can be designed which extract understandable representations from trained neural networks, enabling them to be used for data mining, i.e. the discovery and explanation of previously unknown relationships present in data.
Meanwhile a novel sample preparation procedure has been designed which can simultaneously extract both the hydrophilic and lipophilic components for a single run LC system.
The SNP results of family MD1 and MD2 were then further analyzed using a self developed Java-based tool (eHoPASA – Easy Homozygosity Profiling of Affymetrix SNP Arrays) which had been designed to quickly extract genome wide regions of homozygosity which may harbor the disease gene.
A three-tiered screening system was designed, in which all extracts were first screened for their ability to induce death in the Panc-1 cell line using a label-free photonic crystal (PC) biosensor assay.
One sample system created using the technology is Opine, which is designed to extract and aggregate user-posted information from product and review sites.
The C.I.A.'s director, General Michael Hayden, has said that the program, which is designed to extract intelligence from suspects quickly, is an "irreplaceable" tool for combatting terrorism.
Here, we present a multiresolution algorithm which is designed to extract and render multiple transparent isosurfaces very quickly.
Reliability investigations and product qualifications are typically built on a set of "standard" aging methods which are designed to extract degradation that can be statistically analyzed in order to predict lifetimes.
We describe here an affordable and versatile electrical venom extractor based on the Arduino® Mega 2560 Board, which is designed to extract venom from arthropods and other small animals.
In order to investigate the mechanism of this effect and find the solution method for the IMP future project High Intensity heavy-ion Accelerator Facility (HIAF), which is designed to extract 1×1011 uranium particles with intermediate charge state per cycle, two dedicated experiment setups have been installed at the beam line of the CSR and the 320 kV HV platform respectively.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com