بدائل البحث:
from optimization » fox optimization (توسيع البحث), codon optimization (توسيع البحث), after optimization (توسيع البحث)
binary mask » binary image (توسيع البحث)
binary b » binary _ (توسيع البحث)
b from » 1 from (توسيع البحث), 2 from (توسيع البحث), 3 from (توسيع البحث)
swarm » warm (توسيع البحث)
from optimization » fox optimization (توسيع البحث), codon optimization (توسيع البحث), after optimization (توسيع البحث)
binary mask » binary image (توسيع البحث)
binary b » binary _ (توسيع البحث)
b from » 1 from (توسيع البحث), 2 from (توسيع البحث), 3 from (توسيع البحث)
swarm » warm (توسيع البحث)
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<i>hi</i>PRS algorithm process flow.
منشور في 2023"…<b>(E)</b> Starting from the interaction at the top of <i>I</i><sub><i>δ</i></sub>, <i>hi</i>PRS constructs <i>I</i><sub><i>K</i></sub>, selecting <i>K</i> (where <i>K</i> is user-specified) terms through the greedy optimization of the ratio between MI (<i>relevance</i>) and a suitable measure of similarity for interactions (<i>redundancy)</i> (cf. …"
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Classification baseline performance.
منشور في 2025"…Further integrate the binary variant of OcOA (bOcOA) for effective feature selection, which reduces the average classification error to 0.4237 and increases CNN accuracy to 93.48%. …"
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Feature selection results.
منشور في 2025"…Further integrate the binary variant of OcOA (bOcOA) for effective feature selection, which reduces the average classification error to 0.4237 and increases CNN accuracy to 93.48%. …"
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ANOVA test result.
منشور في 2025"…Further integrate the binary variant of OcOA (bOcOA) for effective feature selection, which reduces the average classification error to 0.4237 and increases CNN accuracy to 93.48%. …"
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Summary of literature review.
منشور في 2025"…Further integrate the binary variant of OcOA (bOcOA) for effective feature selection, which reduces the average classification error to 0.4237 and increases CNN accuracy to 93.48%. …"
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Algoritmo de clasificación de expresiones de odio por tipos en español (Algorithm for classifying hate expressions by type in Spanish)
منشور في 2024"…</li></ul><p dir="ltr"><b>File Structure</b></p><p dir="ltr">The code generates and saves:</p><ul><li>Weights of the trained model (.h5)</li><li>Configured tokenizer</li><li>Training history in CSV</li><li>Requirements file</li></ul><p dir="ltr"><b>Important Notes</b></p><ul><li>The model excludes category 2 during training</li><li>Implements transfer learning from a pre-trained model for binary hate detection</li><li>Includes early stopping callbacks to prevent overfitting</li><li>Uses class weighting to handle category imbalances</li></ul><p dir="ltr">The process of creating this algorithm is explained in the technical report located at: Blanco-Valencia, X., De Gregorio-Vicente, O., Ruiz Iniesta, A., & Said-Hung, E. (2025). …"
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Image processing workflow.
منشور في 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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Flowchart scheme of the ML-based model.
منشور في 2024"…<b>K)</b> Algorithm selection from all models. <b>L)</b> Random forest selection. …"
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Flow diagram of the automatic animal detection and background reconstruction.
منشور في 2020"…(C) The current image (in this example, the second image of the experiment) is then subtracted from the mean image shown in panel B. (D) The histogram of the subtracted image shows most gray scale values to be 0. …"