Search alternatives:
simulation algorithm » segmentation algorithm (Expand Search), maximization algorithm (Expand Search), selection algorithm (Expand Search)
codon optimization » wolf optimization (Expand Search)
process simulation » process optimization (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
primary data » primary care (Expand Search)
data process » data processing (Expand Search), damage process (Expand Search), data access (Expand Search)
based codon » based color (Expand Search), based cohort (Expand Search), based action (Expand Search)
simulation algorithm » segmentation algorithm (Expand Search), maximization algorithm (Expand Search), selection algorithm (Expand Search)
codon optimization » wolf optimization (Expand Search)
process simulation » process optimization (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
primary data » primary care (Expand Search)
data process » data processing (Expand Search), damage process (Expand Search), data access (Expand Search)
based codon » based color (Expand Search), based cohort (Expand Search), based action (Expand Search)
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Data used to drive the Double Layer Carbon Model in the Qinling Mountains.
Published 2024“…It also incorporates climate change responses, adjust decomposition rates based on climate and environmental changes, and lead to robust estimates under different climatic scenarios. The simulation process of the DLCM involves initializing SOC stocks with spatially detailed baseline data, adding organic matter inputs based on vegetation production, and simulating microbial decomposition while adjusting for climate variables such as temperature and soil moisture. …”
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DataSheet_1_COMMBINI: an experimentally-informed COmputational Model of Macrophage dynamics in the Bone INjury Immunoresponse.docx
Published 2023“…The combination of sensitivity analysis and a Genetic Algorithm allows dynamic cooperation between these techniques, enabling faster identification of the most accurate parameter values, reducing the disparity between computer simulation and histological data. …”
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DataSheet_1_COMMBINI: an experimentally-informed COmputational Model of Macrophage dynamics in the Bone INjury Immunoresponse.docx
Published 2023“…The combination of sensitivity analysis and a Genetic Algorithm allows dynamic cooperation between these techniques, enabling faster identification of the most accurate parameter values, reducing the disparity between computer simulation and histological data. …”
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Data_Sheet_1_An Active Inference Approach to Modeling Structure Learning: Concept Learning as an Example Case.zip
Published 2020“…We also simulate the predicted neural basis of these processes. …”
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HeLP_RESULTS_v3.zip
Published 2023“…HeLP was tested on simulated data and the Australian Statistical Geography Standard. …”
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The evolutionary relationships of Diprotodontia and improving the accuracy of phylogenetic inference from morphological data
Published 2023“…This is particularly concerning because algorithmic morphology is the primary approach for integrating fossils into the tree of life, and hence, for both calibrating molecular timescales and extending phylogenetic inferences of evolutionary processes beyond the snapshot provided by modern species. …”
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Supplementary file 1_OncoPSM: an interactive tool for cost-effectiveness analysis using partitioned survival models in oncology trial.xlsx
Published 2025“…</p>Methods<p>We extracted data from Kaplan-Meier (KM) curves, reconstructed individual patient data (IPD) using an iterative KM algorithm, and fitted parametric survival functions to the IPD data. …”
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Dataset supporting Speiser, Mueller et al Nature Methods 2021, Deep learning enables fast and dense single-molecule localization with high accuracy
Published 2021“…</div><div><br></div><div>01_fig2a_e_sim_density</div><div><br></div><div>Includes several sets of simulated data that can be used to evaluate the performance of localization algorithms. …”