Search alternatives:
quality optimization » policy optimization (Expand Search), whale optimization (Expand Search), path optimization (Expand Search)
method optimization » lead optimization (Expand Search), path optimization (Expand Search), feature optimization (Expand Search)
based quality » care quality (Expand Search), seed quality (Expand Search), bone quality (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
based method » based methods (Expand Search)
lines based » lens based (Expand Search), genes based (Expand Search), lines used (Expand Search)
quality optimization » policy optimization (Expand Search), whale optimization (Expand Search), path optimization (Expand Search)
method optimization » lead optimization (Expand Search), path optimization (Expand Search), feature optimization (Expand Search)
based quality » care quality (Expand Search), seed quality (Expand Search), bone quality (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
based method » based methods (Expand Search)
lines based » lens based (Expand Search), genes based (Expand Search), lines used (Expand Search)
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ROC curve for binary classification.
Published 2024“…The study introduced a scheme for enhancing images to improve the quality of the datasets. Specifically, an image enhancement algorithm based on histogram equalization and bilateral filtering techniques was deployed to reduce noise and enhance the quality of the images. …”
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Confusion matrix for binary classification.
Published 2024“…The study introduced a scheme for enhancing images to improve the quality of the datasets. Specifically, an image enhancement algorithm based on histogram equalization and bilateral filtering techniques was deployed to reduce noise and enhance the quality of the images. …”
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Datasets and their properties.
Published 2023“…However, the underlying deficiency of the single binary optimizer is transferred to the quality of the features selected. …”
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Parameter settings.
Published 2023“…However, the underlying deficiency of the single binary optimizer is transferred to the quality of the features selected. …”
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Inspection of Line Defects in Transition Metal Dichalcogenides Using a Microscopic Hyperspectral Imaging Technique
Published 2022“…Upon comparison of the measurement results of imaging and spectra, the relationship between optical contrast and differential reflectance spectra was established. A light selection method was proposed to optimize the optical contrast of line defects. …”
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Optimization of seat allocation with fixed prices: An application of railway revenue management in China
Published 2020“…To evaluate the performance of seat-based control, we build a Discrete-Time Markov Chain model to describe the ticket reservation process and then design a genetic algorithm to find approximate solutions. …”
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Flowchart of PRGA algorithm.
Published 2025“…A case study of a bidirectional disruption during the 08:00–10:00 on the section of Xi’an Metro Line 2 demonstrates that: (1) The proposed model exhibits stronger robustness under demand uncertainty, achieving a reduction of 3 dispatched vehicles and a cost saving of 9,439 RMB by moderately increasing passenger costs by 850 RMB and extending bridging time; (2) The RPGA algorithm outperforms Non-dominated Sorting Genetic Algorithm II (NSGA-II), Reinforcement Learning-based NSGA-II (RLNSGA-II), and Multi-objective Particle Swarm Optimization Algorithm (MOPSO) in hypervolume (HV), generational distance (GD), and non-dominated ratio (NDR); (3) Increasing the rated passenger capacity within a certain range can reduce average passenger delays but correspondingly raises transportation costs. …”
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