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The evaluated methods included both classical feature-based methods and the state-of-the-art deep learning approach.
Collecting methods included both horizontal and vertical plankton tows using a 50 or 250 µm mesh plankton net, as well as free-hand sampling with dip nets from small ponds and littoral zones.
FP methods included both modern and traditional FP methods.
Thus, differences in the tree and support values between methods included both weakly and strongly supported nodes.
Process evaluation methods included both direct observations (OSRAC-P [ 31]) and ratings by trained researchers of physical activity opportunities provided by teachers and children's physical activity during those opportunities.
Here the methods included both multivariable logistic regression (to test independent effects) and decision tree modelling (to try to discover potential interaction effects), using as the dependent variable new pressure ulcer at reassessment among those without a pressure ulcer at baseline.
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We consider various spatial and temporal discretization methods including both central and upwind-biased schemes.
Monitoring methods include both off-line checks taken during maintenance and online monitoring.
In this study, five different machine learning methods including both regression and classification approaches were tested to establish PCM modeling.
The most appropriate methods include both a left cervical plexus nerve block and a brachial plexus nerve block.
Furthermore, comparison is made between the proposed method and other methods including both analytical and meta-heuristic algorithms.
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