بدائل البحث:
method optimization » lead optimization (توسيع البحث), path optimization (توسيع البحث), feature optimization (توسيع البحث)
wolf optimization » whale optimization (توسيع البحث), swarm optimization (توسيع البحث), _ optimization (توسيع البحث)
based method » based methods (توسيع البحث)
lens » less (توسيع البحث)
method optimization » lead optimization (توسيع البحث), path optimization (توسيع البحث), feature optimization (توسيع البحث)
wolf optimization » whale optimization (توسيع البحث), swarm optimization (توسيع البحث), _ optimization (توسيع البحث)
based method » based methods (توسيع البحث)
lens » less (توسيع البحث)
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1
Melanoma Skin Cancer Detection Using Deep Learning Methods and Binary GWO Algorithm
منشور في 2025"…In this work, we propose a novel framework that integrates </p><p dir="ltr">Convolutional Neural Networks (CNNs) for image classification and a binary Grey Wolf Optimization (GWO) </p><p dir="ltr">algorithm for feature selection. …"
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2
Minimizing the Optical Illusion of Nanoparticles in Single Cells Using Four-Dimensional Cuboid Multiangle Illumination-Based Light-Sheet Super-Resolution Imaging
منشور في 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
Minimizing the Optical Illusion of Nanoparticles in Single Cells Using Four-Dimensional Cuboid Multiangle Illumination-Based Light-Sheet Super-Resolution Imaging
منشور في 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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4
Example of simulated calcium imaging dataset.
منشور في 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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5
Probability density of each bin of accuracy.
منشور في 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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6
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7
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8
Image4_CNN-Based Cell Analysis: From Image to Quantitative Representation.TIF
منشور في 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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9
Image1_CNN-Based Cell Analysis: From Image to Quantitative Representation.TIF
منشور في 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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10
Image3_CNN-Based Cell Analysis: From Image to Quantitative Representation.TIF
منشور في 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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11
Image2_CNN-Based Cell Analysis: From Image to Quantitative Representation.TIF
منشور في 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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12
DataSheet1_CNN-Based Cell Analysis: From Image to Quantitative Representation.pdf
منشور في 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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13
Table_1_An efficient decision support system for leukemia identification utilizing nature-inspired deep feature optimization.pdf
منشور في 2024"…To optimize feature selection, a customized binary Grey Wolf Algorithm is utilized, achieving an impressive 80% reduction in feature size while preserving key discriminative information. …"
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14
adjoint-elastic-registration.zip from Organ registration from partial surface data in augmented surgery from an optimal control perspective
منشور في 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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15
SI2-SSI: Integrating Data with Complex Predictive Models under Uncertainty: An Extensible Software Framework for Large-Scale Bayesian Inversion
منشور في 2020"…The central questions are: How do we optimally learn from data through the lens of models? …"
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16
SI2-SSI: Integrating Data with Complex Predictive Models under Uncertainty: An Extensible Software Framework for Large-Scale Bayesian Inversion
منشور في 2020"…The central questions are: How do we optimally learn from data through the lens of models? …"
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17
<b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043)
منشور في 2025"…We measured multiple stress markers over a year, including betalain content using our optimized method, where the species is spreading. Additionally, 3,735 digital images at the leaf level were taken. …"
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18
Minisymposterium: Muq-Hippylib: A Bayesian Inference Software Framework Integrating Data with Complex Predictive Models under Uncertainty
منشور في 2021"…The central questions are: How do we optimally learn from data through the lens of models? …"
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19
Massive Mixed Models in Julia
منشور في 2025"…In contrast, an approach based on penalized least squares can take advantage of sparse matrix methods to scale to models with millions of observations and handles nesting and crossing of random effects in a general way. …"