Search alternatives:
derived optimization » driven optimization (Expand Search), required optimization (Expand Search), guided optimization (Expand Search)
design optimization » bayesian optimization (Expand Search)
sample design » sampling design (Expand Search)
data derived » data driven (Expand Search)
final sample » fecal samples (Expand Search), total sample (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
derived optimization » driven optimization (Expand Search), required optimization (Expand Search), guided optimization (Expand Search)
design optimization » bayesian optimization (Expand Search)
sample design » sampling design (Expand Search)
data derived » data driven (Expand Search)
final sample » fecal samples (Expand Search), total sample (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
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Train stopping plan.
Published 2024“…To solve this optimization model, a multi-level optimization algorithm is designed. …”
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Major notations.
Published 2024“…To solve this optimization model, a multi-level optimization algorithm is designed. …”
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S1 File -
Published 2024“…To solve this optimization model, a multi-level optimization algorithm is designed. …”
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Image 1_A novel inversion method of slope rock mechanical parameters using differential evolution gray wolf algorithm to optimize support vector regression.tif
Published 2025“…</p>Methods<p>This paper proposes a displacement back-analysis (DBA) approach that utilizes support vector regression (SVR) optimized by differential evolution grey wolf algorithm (DE-GWO) to invert the RMMPs, which improves global optimization capability and inversion accuracy. …”
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Image 2_A novel inversion method of slope rock mechanical parameters using differential evolution gray wolf algorithm to optimize support vector regression.tif
Published 2025“…</p>Methods<p>This paper proposes a displacement back-analysis (DBA) approach that utilizes support vector regression (SVR) optimized by differential evolution grey wolf algorithm (DE-GWO) to invert the RMMPs, which improves global optimization capability and inversion accuracy. …”
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Smart metering and energy access programs: an approach to energy poverty reduction in sub-Saharan Africa
Published 2023“…</li> </ul> <p><strong>HRES analysis and optimization (5)</strong></p> <ul> <li>The figures (PNG, JPG, PDF) include:</li> </ul> <p> - Household load, based on the energy data from the smart metering experiment and the machine learning exercise</p> <p> - Pre-defined/synthetic load, provided by the software when no external data (household load) is available, and</p> <p> - The HRES designed</p> <p> - Application-generated reports with the results of the analysis, for both best case HRES and fully renewable scenarios.…”
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Supplementary Material for: Penalized Logistic Regression Analysis for Genetic Association Studies of Binary Phenotypes
Published 2022“…Our estimate of m is the maximizer of a marginal likelihood obtained by integrating the latent log-ORs out of the joint distribution of the parameters and observed data. We consider two approximate approaches to maximizing the marginal likelihood: (i) a Monte Carlo EM algorithm (MCEM) and (ii) a Laplace approximation (LA) to each integral, followed by derivative-free optimization of the approximation. …”
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Thesis-RAMIS-Figs_Slides
Published 2024“…<br><br>Finally, although the developed concepts, ideas and algorithms have been developed for inverse problems in geostatistics, the results are applicable to a wide range of disciplines where similar sampling problems need to be faced, included but not limited to design of communication networks, optimal integration and communication of swarms of robots and drones, remote sensing.…”
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