Search alternatives:
codon optimization » wolf optimization (Expand Search)
from optimization » fox optimization (Expand Search), swarm optimization (Expand Search), after optimization (Expand Search)
binary basic » binary mask (Expand Search)
basic codon » basic column (Expand Search)
based from » based food (Expand Search), used from (Expand Search), based arm (Expand Search)
lens » less (Expand Search)
codon optimization » wolf optimization (Expand Search)
from optimization » fox optimization (Expand Search), swarm optimization (Expand Search), after optimization (Expand Search)
binary basic » binary mask (Expand Search)
basic codon » basic column (Expand Search)
based from » based food (Expand Search), used from (Expand Search), based arm (Expand Search)
lens » less (Expand Search)
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Minimizing the Optical Illusion of Nanoparticles in Single Cells Using Four-Dimensional Cuboid Multiangle Illumination-Based Light-Sheet Super-Resolution Imaging
Published 2022“…Additionally, a 4D multiangle illumination-based algorithm was created to select the optimal illumination angle by combining three-dimensional super-resolution imaging with multiangle observation, even in the presence of obstacles. …”
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Minimizing the Optical Illusion of Nanoparticles in Single Cells Using Four-Dimensional Cuboid Multiangle Illumination-Based Light-Sheet Super-Resolution Imaging
Published 2022“…Additionally, a 4D multiangle illumination-based algorithm was created to select the optimal illumination angle by combining three-dimensional super-resolution imaging with multiangle observation, even in the presence of obstacles. …”
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3
Image4_CNN-Based Cell Analysis: From Image to Quantitative Representation.TIF
Published 2022“…<p>We present a novel deep learning-based quantification pipeline for the analysis of cell culture images acquired by lens-free microscopy. …”
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Image1_CNN-Based Cell Analysis: From Image to Quantitative Representation.TIF
Published 2022“…<p>We present a novel deep learning-based quantification pipeline for the analysis of cell culture images acquired by lens-free microscopy. …”
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Image3_CNN-Based Cell Analysis: From Image to Quantitative Representation.TIF
Published 2022“…<p>We present a novel deep learning-based quantification pipeline for the analysis of cell culture images acquired by lens-free microscopy. …”
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Image2_CNN-Based Cell Analysis: From Image to Quantitative Representation.TIF
Published 2022“…<p>We present a novel deep learning-based quantification pipeline for the analysis of cell culture images acquired by lens-free microscopy. …”
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DataSheet1_CNN-Based Cell Analysis: From Image to Quantitative Representation.pdf
Published 2022“…<p>We present a novel deep learning-based quantification pipeline for the analysis of cell culture images acquired by lens-free microscopy. …”
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adjoint-elastic-registration.zip from Organ registration from partial surface data in augmented surgery from an optimal control perspective
Published 2023“…After a discussion about the existence of solutions, we analyse the necessary optimality conditions and use them to derive a suitable optimization algorithm. …”
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9
Example of simulated calcium imaging dataset.
Published 2024“…The parameters for each operation such as the kernel size, sigma and footprint size were optimized. We then validated the utility of the algorithm with simulated data and freely moving nociception experiments using the lensless devices. …”
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10
Probability density of each bin of accuracy.
Published 2024“…The parameters for each operation such as the kernel size, sigma and footprint size were optimized. We then validated the utility of the algorithm with simulated data and freely moving nociception experiments using the lensless devices. …”
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<b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043)
Published 2025“…Machine learning regression algorithms were trained to predict betalain accumulation from digital images, outperforming classic spectroradiometer measurements. …”
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16
Parameter settings.
Published 2025“…The study proposes a movie recommendation algorithm framework that integrates Knowledge Graph Embedding via Dynamic Mapping Matrix (TransD) and Artificial Intelligence Generated Content (AIGC)-based generative semantic modeling. …”
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Fusion framework.
Published 2025“…The study proposes a movie recommendation algorithm framework that integrates Knowledge Graph Embedding via Dynamic Mapping Matrix (TransD) and Artificial Intelligence Generated Content (AIGC)-based generative semantic modeling. …”
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Generation steps of user profiles.
Published 2025“…The study proposes a movie recommendation algorithm framework that integrates Knowledge Graph Embedding via Dynamic Mapping Matrix (TransD) and Artificial Intelligence Generated Content (AIGC)-based generative semantic modeling. …”
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Minisymposterium: Muq-Hippylib: A Bayesian Inference Software Framework Integrating Data with Complex Predictive Models under Uncertainty
Published 2021“…The central questions are: How do we optimally learn from data through the lens of models? …”
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SI2-SSI: Integrating Data with Complex Predictive Models under Uncertainty: An Extensible Software Framework for Large-Scale Bayesian Inversion
Published 2020“…The central questions are: How do we optimally learn from data through the lens of models? …”