بدائل البحث:
driven optimization » design optimization (توسيع البحث), guided optimization (توسيع البحث), dose optimization (توسيع البحث)
arm optimization » art optimization (توسيع البحث), swarm optimization (توسيع البحث), from 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)
binary based » library based (توسيع البحث), linac based (توسيع البحث), binary mask (توسيع البحث)
based arm » based care (توسيع البحث), based ap (توسيع البحث), based ai (توسيع البحث)
driven optimization » design optimization (توسيع البحث), guided optimization (توسيع البحث), dose optimization (توسيع البحث)
arm optimization » art optimization (توسيع البحث), swarm optimization (توسيع البحث), from 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)
binary based » library based (توسيع البحث), linac based (توسيع البحث), binary mask (توسيع البحث)
based arm » based care (توسيع البحث), based ap (توسيع البحث), based ai (توسيع البحث)
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Triplet Matching for Estimating Causal Effects With Three Treatment Arms: A Comparative Study of Mortality by Trauma Center Level
منشور في 2021"…We fill the gap by developing an iterative matching algorithm for the three-group setting. Our algorithm outperforms the nearest neighbor algorithm and is shown to produce matched samples with total distance no larger than twice the optimal distance. …"
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Analysis and design of algorithms for the manufacturing process of integrated circuits
منشور في 2023"…The (approximate) solution proposals of state-of-the-art methods include rule-based approaches, genetic algorithms, and reinforcement learning. …"
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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. …"