Search alternatives:
resources optimization » resource optimization (Expand Search), resource utilization (Expand Search), resource utilisation (Expand Search)
driven optimization » design optimization (Expand Search), guided optimization (Expand Search), dose optimization (Expand Search)
data resources » data sources (Expand Search), water resources (Expand Search), data source (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
binary mapk » binary mask (Expand Search), binary image (Expand Search)
resources optimization » resource optimization (Expand Search), resource utilization (Expand Search), resource utilisation (Expand Search)
driven optimization » design optimization (Expand Search), guided optimization (Expand Search), dose optimization (Expand Search)
data resources » data sources (Expand Search), water resources (Expand Search), data source (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
binary mapk » binary mask (Expand Search), binary image (Expand Search)
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Confusion matrix.
Published 2025“…Subsequently, we implement an optimal binary tree decision-making algorithm, grounded in dynamic programming, to achieve precise allocation of elastic resources within data streams, significantly bolstering resource utilization. …”
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Parameter settings.
Published 2025“…Subsequently, we implement an optimal binary tree decision-making algorithm, grounded in dynamic programming, to achieve precise allocation of elastic resources within data streams, significantly bolstering resource utilization. …”
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Natural language processing for automated quantification of bone metastases reported in free-text bone scintigraphy reports
Published 2020“…However, processing this rich resource of data for clinical and research purposes, depends on labor-intensive and potentially error-prone manual review. …”
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Seed mix selection model
Published 2022“…The genetic algorithm then operated over 1000 iterations, applying crossover and mutation processes to optimize bee richness. …”
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Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles
Published 2025“…</p><p dir="ltr">This curated dataset addresses several limitations of existing toxicological datasets by enhancing feature diversity, standardization, and data quality control. It is publicly available via the Supplementary Information section and aims to serve as a benchmark resource for researchers developing predictive nanotoxicology models.…”