Search alternatives:
driven optimization » guided optimization (Expand Search), dose optimization (Expand Search), process optimization (Expand Search)
design optimization » bayesian optimization (Expand Search)
final sampling » final sample (Expand Search), field sampling (Expand Search), edna sampling (Expand Search)
ipsc driven » ipsc derived (Expand Search), hipsc derived (Expand Search)
driven optimization » guided optimization (Expand Search), dose optimization (Expand Search), process optimization (Expand Search)
design optimization » bayesian optimization (Expand Search)
final sampling » final sample (Expand Search), field sampling (Expand Search), edna sampling (Expand Search)
ipsc driven » ipsc derived (Expand Search), hipsc derived (Expand Search)
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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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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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SimSPPF module structure.
Published 2025“…Finally, a bidirectional feature pyramid network (BiFPN) was integrated to optimize feature fusion, leveraging a bidirectional information transfer mechanism and an adaptive feature selection strategy. …”
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mAP@0.5 results.
Published 2025“…Finally, a bidirectional feature pyramid network (BiFPN) was integrated to optimize feature fusion, leveraging a bidirectional information transfer mechanism and an adaptive feature selection strategy. …”
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YOLOv8n network architecture diagram.
Published 2025“…Finally, a bidirectional feature pyramid network (BiFPN) was integrated to optimize feature fusion, leveraging a bidirectional information transfer mechanism and an adaptive feature selection strategy. …”
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Radar parameters.
Published 2025“…Finally, a bidirectional feature pyramid network (BiFPN) was integrated to optimize feature fusion, leveraging a bidirectional information transfer mechanism and an adaptive feature selection strategy. …”
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Confusion matrix of the improved model.
Published 2025“…Finally, a bidirectional feature pyramid network (BiFPN) was integrated to optimize feature fusion, leveraging a bidirectional information transfer mechanism and an adaptive feature selection strategy. …”
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Improved network structure of the YOLOv8n model.
Published 2025“…Finally, a bidirectional feature pyramid network (BiFPN) was integrated to optimize feature fusion, leveraging a bidirectional information transfer mechanism and an adaptive feature selection strategy. …”
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Plot of improved model output results.
Published 2025“…Finally, a bidirectional feature pyramid network (BiFPN) was integrated to optimize feature fusion, leveraging a bidirectional information transfer mechanism and an adaptive feature selection strategy. …”