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The functionality of these features was assessed using tests, divided into simulated results and real-world tests.
The use of linear features was assessed in relation to hedgerow width, tree density, the presence of water and woodland proximity.
The discriminating power of these features was assessed using the neural network architectures for the unique identification of seeds of four Paddy (Rice) grains: viz.
Reports were assessed for documentation of 15 key reporting features and a subset of 5 features was assessed for accuracy.
For both assessors, the causal relationship between drugs and clinical features was assessed according to chronological, semiological and bibliographical data.
The defect detection ability of these features was assessed by two kernel classifiers, namely, the support vector machine (SVM) classifier and the vector-valued regularized kernel function approximation (VVRKFA) method of classification.
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In vivo bioavailability, ulcerogenic capability and histopathological features were assessed.
Multiple histologic features were assessed semiquantitatively (0-3) or as percentages.
The mentioned features are assessed for both modes through a formal verification using the Uppaal software.
Histological features were assessed by exploring 6 morphological characteristics and 2 immunohistochemical markers.
Built environment features were assessed at baseline in up to 10 contiguous street segments around participants' residential addresses using on-site audits.
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CEO of Professional Science Editing for Scientists @ prosciediting.com