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This paper proposes a methodology to map the various acoustic regimes of wind instruments.
It discusses a methodology to map the applications in a cost-efficient way onto a heterogeneous embedded multiprocessor platform.
We recently developed a methodology to map landscape friction (i.e. resistance to movement) for tsetse in West Africa.
The aim of this study was to develop a comprehensive methodology to map ground cover using high resolution Quickbird imagery in woody and non-woody (pasture) vegetation.
This data was geo-located through a SoftGIS methodology to map and quantify the overlap of bivariate hotspots identifying value concurrence.
These systems are characterized by small, heterogeneous, and often indistinct field patterns, requiring a specialized methodology to map agricultural land cover.
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The method used in this study is a promising methodology to mapping and quantifying cultural ecosystem services that are often underrepresented in ecosystem services assessments.
Here we broadly applied the methodology to mapping phenotypes in Nasonia by using the CGH microarray.
The aim of this paper is to present the operating methodologies and the results achieved by the application in the field of radar methodologies to map utilities, and for applications to civil building with special regard to the determination of the intern morphology, to the lack of homogeneity research and defectiveness and to the determination of the location of the steel reinforcements.
Next, we used MPSoC design methodologies to map the QAM modulator onto an MPSoC architecture, which uses an on-chip, packet-based NoC.
Application of a wide variety of methodologies to map surface components using these data can allow identification of invasive species, the detection of changes in vegetation and early warning of land degradation risks (Svoray et al. 2013).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com