Search alternatives:
structure optimization » structural optimization (Expand Search), structure determination (Expand Search)
based optimization » whale optimization (Expand Search)
data structure » data structures (Expand Search), age structure (Expand Search), factor structure (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
binary mask » binary image (Expand Search)
mask based » task based (Expand Search), tasks based (Expand Search), risk based (Expand Search)
structure optimization » structural optimization (Expand Search), structure determination (Expand Search)
based optimization » whale optimization (Expand Search)
data structure » data structures (Expand Search), age structure (Expand Search), factor structure (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
binary mask » binary image (Expand Search)
mask based » task based (Expand Search), tasks based (Expand Search), risk based (Expand Search)
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Data_Sheet_1_Alzheimer’s Disease Diagnosis and Biomarker Analysis Using Resting-State Functional MRI Functional Brain Network With Multi-Measures Features and Hippocampal Subfield...
Published 2022“…Finally, we implemented and compared the different feature selection algorithms to integrate the structural features, brain networks, and voxel features to optimize the diagnostic identifications of AD using support vector machine (SVM) classifiers. …”
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22
Steps in the extraction of 14 coordinates from the CT slices for the curved MPR.
Published 2025“…Protruding paths are then eliminated using graph-based optimization algorithms, as demonstrated in f). …”
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23
PathOlOgics_RBCs Python Scripts.zip
Published 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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24
Supplementary Material 8
Published 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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25
Fortran & C++: design fractal-type optical diffractive element
Published 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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26
Image 1_A multimodal AI-driven framework for cardiovascular screening and risk assessment in diverse athletic populations: innovations in sports cardiology.png
Published 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.…”