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All models are comprehensively composed of the framework of dynamic risk management system, including identification, classification, assessment, supervision and emergency management.
In this study, l1-regularized and non-negative sparse representation models are comprehensively studied for the classification of high-dimensional biological data.
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The performance of models was comprehensively evaluated some statistical criteria.
The performance of models was comprehensively judged using several statistical verification tools.
In this study, six specific LOR models were comprehensively tested and compared for virtual drug screening.
The seismic performance of the test model was comprehensively compared with a reference cast-in-place model.
In the present study, the steady impinging jet model was comprehensively studied by using a 2-foot-diameter (0.61 m) microburst simulator available in the Department of Aerospace Engineering at Iowa State University.
For this purpose, the GROWEST model was comprehensively upgraded to run on weekly and monthly climate data, in point or grid form, to produce weekly and monthly outputs.
Additionally, the proposed efficient model is comprehensively validated with both truncated cone and pyramid shapes by varying four forming parameters (i.e. step down, wall angle, tool radius and sheet thickness).
The proposed model was comprehensively verified by five sets of laboratory data on the MX-80, FEBEX, Kunigel-V1 and GMZ01 compacted bentonite materials with different dry densities, water content and mineralogical composition, and good agreements were obtained between the model predictions and the laboratory measurements.
Using a pricing-based mechanism, an asymmetric model is comprehensively discussed, consisting of two nodes and a BS.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com