Search alternatives:
process optimization » model optimization (Expand Search)
guide optimization » guided optimization (Expand Search), driven optimization (Expand Search), whale optimization (Expand Search)
mask process » based process (Expand Search), basic process (Expand Search), a process (Expand Search)
binary mask » binary image (Expand Search)
process optimization » model optimization (Expand Search)
guide optimization » guided optimization (Expand Search), driven optimization (Expand Search), whale optimization (Expand Search)
mask process » based process (Expand Search), basic process (Expand Search), a process (Expand Search)
binary mask » binary image (Expand Search)
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Descriptive analysis of the outcomes by the optimized LSTM using several optimization algorithms.
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Performance of the bAD-PSO-Guided WOA algorithm compared with another algorithm.
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Performance of the proposed AD-PSO-Guided WOA-LSTM algorithm compared with another algorithm.
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Analysis plots of the obtained results using the proposed AD-PSO-Guided WOA LSTM algorithm.
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The Pseudo-Code of the IRBMO Algorithm.
Published 2025“…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …”
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A* Path-Finding Algorithm to Determine Cell Connections
Published 2025“…</p><p dir="ltr">Astrocytes were dissociated from E18 mouse cortical tissue, and image data were processed using a Cellpose 2.0 model to mask nuclei. …”
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Image processing workflow.
Published 2020“…<p>Raw fluorescent microscope images (a) were processed with a binary segmentation algorithm, and clusters of bacterial cells were manually annotated. …”
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IRBMO vs. meta-heuristic algorithms boxplot.
Published 2025“…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …”
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IRBMO vs. feature selection algorithm boxplot.
Published 2025“…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …”