بدائل البحث:
estimation algorithm » optimization algorithms (توسيع البحث), maximization algorithm (توسيع البحث), detection algorithm (توسيع البحث)
driven optimization » design optimization (توسيع البحث), guided optimization (توسيع البحث), dose optimization (توسيع البحث)
binary state » binary image (توسيع البحث), binary data (توسيع البحث)
state driven » data driven (توسيع البحث), wave driven (توسيع البحث), atp driven (توسيع البحث)
primary data » primary care (توسيع البحث)
data pose » data posted (توسيع البحث), data phase (توسيع البحث), data base (توسيع البحث)
estimation algorithm » optimization algorithms (توسيع البحث), maximization algorithm (توسيع البحث), detection algorithm (توسيع البحث)
driven optimization » design optimization (توسيع البحث), guided optimization (توسيع البحث), dose optimization (توسيع البحث)
binary state » binary image (توسيع البحث), binary data (توسيع البحث)
state driven » data driven (توسيع البحث), wave driven (توسيع البحث), atp driven (توسيع البحث)
primary data » primary care (توسيع البحث)
data pose » data posted (توسيع البحث), data phase (توسيع البحث), data base (توسيع البحث)
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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"…CardioSpectra formulates athlete profiles as multivariate probabilistic entities across latent diagnostic states, using sparsity-aware inference to generate interpretable risk predictions while optimizing a sensitivity-specificity trade-off tailored to clinical priorities. …"
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Data_Sheet_1_A GLM-based zero-inflated generalized Poisson factor model for analyzing microbiome data.pdf
منشور في 2024"…The complex characteristics of microbiome data, including high dimensionality, zero inflation, and over-dispersion, pose new statistical challenges for downstream analysis.…"
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Data_Sheet_2_A GLM-based zero-inflated generalized Poisson factor model for analyzing microbiome data.ZIP
منشور في 2024"…The complex characteristics of microbiome data, including high dimensionality, zero inflation, and over-dispersion, pose new statistical challenges for downstream analysis.…"
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DataSheet_1_Deep-learning models for image-based gynecological cancer diagnosis: a systematic review and meta- analysis.zip
منشور في 2024"…Two reviewers assessed the articles for eligibility and quality using the QUADAS-2 tool. Data was extracted from each study, and the performance of DL techniques for gynecological cancer classification was estimated by pooling and transforming sensitivity and specificity values using a random-effects model.…"