Search alternatives:
process optimization » model optimization (Expand Search)
codon optimization » wolf optimization (Expand Search)
sample process » simple process (Expand Search), same process (Expand Search), sample processing (Expand Search)
intra sample » entire sample (Expand Search), data sample (Expand Search)
binary 2 » binary _ (Expand Search), binary b (Expand Search)
2 codon » _ codon (Expand Search)
process optimization » model optimization (Expand Search)
codon optimization » wolf optimization (Expand Search)
sample process » simple process (Expand Search), same process (Expand Search), sample processing (Expand Search)
intra sample » entire sample (Expand Search), data sample (Expand Search)
binary 2 » binary _ (Expand Search), binary b (Expand Search)
2 codon » _ codon (Expand Search)
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Robustness of the optimization process in a real dataset.
Published 2023“…<p>S3 Fig shows the results of the optimization process for different start points supplied to the optimization function. …”
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2
A method to concatenate multiple short time series for evaluating dynamic behaviour during walking
Published 2019“…The collected time series were cut into multiple shorter time series of varying lengths and subsequently concatenated using a novel algorithm that identifies similar poses in successive time series in order to determine an optimal concatenation time point. …”
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3
<b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043)
Published 2025“…</li><li>The dataframe of extracted colour features from all leaf images and lab variables (ecophysiological predictors and variables to be predicted)</li><li>Set of scripts used for image pre-processing, features extraction, data analytsis, visualization and Machine learning algorithms training, using ImageJ, R and Python.…”