يعرض 41 - 56 نتائج من 56 نتيجة بحث عن '(( binary a process simulation algorithm ) OR ( binary a codon optimization algorithm ))', وقت الاستعلام: 0.32s تنقيح النتائج
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    Construction of reduced chemical mechanisms orientated toward specific applications: a case study of primary reference fuel حسب Bo Niu (102579)

    منشور في 2022
    "…And then, the genetic algorithm with binary variables is applied to further reduce the pathways of the small-molecule reactions targeted at ignition delay times in shock tubes, major species (fuel, O<sub>2</sub>, CO, and CO<sub>2</sub>) profiles in jet-stirred reactors, and laminar flame speeds, respectively. …"
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    A Scalable Partitioned Approach to Model Massive Nonstationary Non-Gaussian Spatial Datasets حسب Benjamin Seiyon Lee (11642352)

    منشور في 2022
    "…Then, we combine the local processes using a novel neighbor-based weighting scheme. …"
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    Table_1_Identification of sources of DIF using covariates in patient-reported outcome measures: a simulation study comparing two approaches based on Rasch family models.DOCX حسب Yseulys Dubuy (16809567)

    منشور في 2023
    "…Our aim was to obtain an iterative item-by-item DIF detection method based on Rasch family models that enable to adjust group comparisons for DIF in presence of two binary covariates. Both algorithms were evaluated through a simulation study under various conditions aiming to be representative of health research contexts. …"
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    ABIDE dataset subject demographics. حسب Alexandria M. Jensen (6494957)

    منشور في 2024
    "…We propose a semiparametric kernel machine regression model for either a continuous or binary outcome, where covariate effects are modeled parametrically and brain connectivity measures are measured nonparametrically. …"
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    Thesis-RAMIS-Figs_Slides حسب Felipe Santibañez-Leal (10967991)

    منشور في 2024
    "…Importantly, this strategy locates samples adaptively on the transition between facies which improves the performance of conventional \emph{<i>MPS</i>} algorithms. In conclusion, this work shows that preferential sampling can contribute in \emph{<i>MPS</i>} even at very small sampling regimes and, as a corollary, demonstrates that prior models (obtained form a training image) can be used effectively not only to simulate non-sensed variables of the field, but to decide where to measure next.…"