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Due to the shortage of accident data, recently, precursor data have received much attention in chemical risk analysis.
Genetic Algorithms (GA's) and others evolutionary optimization methods to design fuzzy models from data have received much attention in recent literature.
The blind adaptive equalization techniques, which can be applied to the aforementioned systems to resolve the interference problems and recover the transmission data, have received considerable attention.
Methods for mapping point-based epidemiologic data have received less attention than mapping areal data [ 12].
Despite their abundance, unspliced EST data have received little attention as a source of information on non-coding RNAs.
Risk maps of vector-borne diseases in Africa based on environmental data have received considerable attention in recent years and are tools with public health potential (10, 15 ).
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However the significance of the future potential of genetic data has received specific legal recognition.
The presence and impact of missing data has received little attention in the RBA literature.
Automatic modeling of indoor scenes from raw point data has received considerable attention due to its wide applications in computer graphics and robotics.
The use of the life history calendar (LHC) or the event history calendar as tools for collecting retrospective data has received increasing attention in many fields of social science and medicine.
Multivariate pattern analysis (MVPA) approach applied to neuroimaging data, such as functional magnetic resonance imaging (fMRI) data, has received a great deal of attention because of its sensitivity to distinguishing patterns of neural activities associated with different stimuli or cognitive states.
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CEO of Professional Science Editing for Scientists @ prosciediting.com