بدائل البحث:
codes optimization » codon optimization (توسيع البحث), model optimization (توسيع البحث), convex optimization (توسيع البحث)
laboratory based » laboratory values (توسيع البحث), laboratory data (توسيع البحث), laboratory tests (توسيع البحث)
web optimization » b optimization (توسيع البحث), yet optimization (توسيع البحث), led optimization (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
data codes » data code (توسيع البحث), data models (توسيع البحث), data model (توسيع البحث)
codes optimization » codon optimization (توسيع البحث), model optimization (توسيع البحث), convex optimization (توسيع البحث)
laboratory based » laboratory values (توسيع البحث), laboratory data (توسيع البحث), laboratory tests (توسيع البحث)
web optimization » b optimization (توسيع البحث), yet optimization (توسيع البحث), led optimization (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
data codes » data code (توسيع البحث), data models (توسيع البحث), data model (توسيع البحث)
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Diversity and specificity of lipid patterns in basal soil food web resources
منشور في 2019"…In marine environments, multivariate optimization models (Quantitative Fatty Acid Signature Analysis) and Bayesian approaches (source-tracking algorithm) were established to predict the proportion of predator diets using lipids as tracers. …"
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Image 1_Development and validation of a blood biomarker-based model for differentiating stroke etiology in acute large vessel occlusion.tif
منشور في 2025"…Objective<p>Early differentiation of stroke etiology in acute large vessel occlusion stroke (LVOS) is crucial for optimizing endovascular treatment strategies. This study aimed to develop and validate a prediction model for pre-procedural etiological differentiation based on admission laboratory parameters.…"
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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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A Combination of MALDI-TOF MS Proteomics and Species-Unique Biomarkers’ Discovery for Rapid Screening of Brucellosis
منشور في 2022"…Brucellosis is considered to be a zoonotic infection with a predominant incidence in most parts of Iran that may even simply involve diagnostic laboratory personnel. In the present study, we apply matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry (MALDI-TOF MS) for rapid and reliable discrimination of <i>Brucella abortus</i> and <i>Brucella melitensis</i>, based on proteomic mass patterns from chemically treated whole-cell analyses. …"
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Table_1_Development and Validation of a Machine-Learning Model for Prediction of Extubation Failure in Intensive Care Units.XLSX
منشور في 2021"…A machine-learning model called Categorical Boosting (CatBoost) was developed based on 89 clinical and laboratory variables. SHapley Additive exPlanations (SHAP) values were calculated to evaluate feature importance and the recursive feature elimination (RFE) algorithm was used to select key features. …"
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Table_2_Development and Validation of a Machine-Learning Model for Prediction of Extubation Failure in Intensive Care Units.DOCX
منشور في 2021"…A machine-learning model called Categorical Boosting (CatBoost) was developed based on 89 clinical and laboratory variables. SHapley Additive exPlanations (SHAP) values were calculated to evaluate feature importance and the recursive feature elimination (RFE) algorithm was used to select key features. …"
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Fortran & C++: design fractal-type optical diffractive element
منشور في 2022"…</p> <p>(4) export geometry/optics raw data and figures for binary DOE devices.</p> <p><br></p> <p>[Wolfram Mathematica code "square_triangle_DOE.nb"]:</p> <p>read the optimized binary DOE document (after Fortran & C++ code) to calculate its diffractive fields for comparison.…"