بدائل البحث:
structure optimization » structural optimization (توسيع البحث), structure determination (توسيع البحث)
policy optimization » topology optimization (توسيع البحث), wolf optimization (توسيع البحث), process optimization (توسيع البحث)
data structure » data structures (توسيع البحث), age structure (توسيع البحث), factor structure (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
binary time » binary image (توسيع البحث)
time policy » crime policy (توسيع البحث), three policy (توسيع البحث)
structure optimization » structural optimization (توسيع البحث), structure determination (توسيع البحث)
policy optimization » topology optimization (توسيع البحث), wolf optimization (توسيع البحث), process optimization (توسيع البحث)
data structure » data structures (توسيع البحث), age structure (توسيع البحث), factor structure (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
binary time » binary image (توسيع البحث)
time policy » crime policy (توسيع البحث), three policy (توسيع البحث)
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PathOlOgics_RBCs Python Scripts.zip
منشور في 2023"…</p><p dir="ltr">To assess the consistency, diversity, and complexity of the processed data, the Uniform Manifold Approximation and Projection (UMAP) technique was employed to investigate the structural relationships among the various classes (see PathOlOgics_script_3; UMAP visualizations). …"
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Supplementary Material 8
منشور في 2025"…</li><li><b>XGboost: </b>An optimized gradient boosting algorithm that efficiently handles large genomic datasets, commonly used for high-accuracy predictions in <i>E. coli</i> classification.…"
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86
Fortran & C++: design fractal-type optical diffractive element
منشور في 2022"…</p> <p>(2) calculate diffraction fields for fractal and/or grid-matrix (binary) phase-holograms.</p> <p>(3) optimize the fractal and/or grid-matrix holograms for given target diffraction images, using annealing algorithms. …"
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Image 1_A multimodal AI-driven framework for cardiovascular screening and risk assessment in diverse athletic populations: innovations in sports cardiology.png
منشور في 2025"…RSEE projects heterogeneous input data into an exertion-conditioned latent space, aligning model predictions with observed physiological variance and mitigating false positives by explicitly modeling the overlap between athletic remodeling and subclinical pathology.…"