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We have described a methodology for collecting large amounts of crisis-related tweets and tagging relevant tweets using human annotators.
The previous section described a methodology allowing the detection of a single vulnerability by automatic HTML page clustering.
In their seminal paper in Science Translational Medicine, Raspopovic et al. (2014) described a methodology for the afferent feedback of cutaneous touch from a hand prosthesis.
Bonneson and Fitts [8] described a methodology to predict delay to major street through vehicles due to left turning activity at TWSC intersections.
Using Electromigration (EM) as an example, this paper described a methodology where the impact of process variation on reliability is studied.
Recently, we described a methodology for enhanced crosslinking and immunoprecipitation followed by high-throughput sequencing (eCLIP) using antibodies against endogenous RNA binding proteins.
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VI, we describe a methodology for digital investigation which shows the use of the inference system.
This paper presents the identified risk determinants and describes a methodology to identify them.
This paper describes a methodology and key issues of lightning risk assessment for wind farms.
We describe a methodology for collecting a large number of relevant tweets and annotating them with emotional labels.
The next section describes a methodology that aims at the incremental learning of environment properties based on moving agents' observations.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com