Comparison of PSNR values of different algorithms. حسب Xiaojun Wang (50332)

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Changes in FID values of different algorithms. حسب Xiaojun Wang (50332)

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Comparison of SSIM values of different algorithms. حسب Xiaojun Wang (50332)

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Changes in loss values for different algorithms. حسب Xiaojun Wang (50332)

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The actual training effect of four algorithms on original photo data (All images are original images taken by the author). حسب Xiaojun Wang (50332)

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The run time for each algorithm in seconds. حسب Edward Antonian (21453161)

"…The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. Next, we examine the statistical effect of correlated prediction error and propose a method for Generalized Least Squares (GLS) on graphs. …"

Flowchart illustrating the study workflow, outlining data collection, filtering, processing, and analysis. حسب Fang Zhang (197215)

Comparison of results based on CycleGAN method. حسب Xiaojun Wang (50332)

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Algorithm process. حسب Wei Cui (92129)

The specific architecture of the FcaNet-cycleGan style transfer method. حسب Xiaojun Wang (50332)

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The method for determining the chemical constituents of unknown materials in the algorithm. حسب Dong Hyeok Choi (12562048)

sva algorithm processing (A) before and (B) after the sample distribution. حسب MaoMeng Wang (22177417)

"…<p>sva algorithm processing (A) before and (B) after the sample distribution.…"

Traditional versus algorithmic process. حسب Minerva A. Orellana (21553459)

"…PhD applicant cohorts to a longstanding Clinical and Translational Sciences PhD TL1 program were assessed using one of three review processes: traditional, algorithmic, or a novel integrative review process. …"

Algorithmic versus integrative process. حسب Minerva A. Orellana (21553459)

"…PhD applicant cohorts to a longstanding Clinical and Translational Sciences PhD TL1 program were assessed using one of three review processes: traditional, algorithmic, or a novel integrative review process. …"

The nine structural parameters as design factors. حسب Shangyang Jin (21772466)

The process chain of the de-jitter algorithm. حسب Hannes Benecke (17409369)

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The segmentation process of this new algorithm. حسب Niu Meng (22032810)

"…The experimental results show that the proposed method shortens the execution time by nearly 40% compared with the self-organized mapping network, and the average color difference (ΔE) of each region after color segmentation is as low as 0.7, which is significantly better than other algorithms. Meanwhile, in the detection of the four types of printed fabric samples, the obtained average color value is up to 87.49 (the higher the 0–100 score value indicates that the color is more significant), and the smallest standard deviation is 2.18 (the smaller the value indicates that the color segmentation is more centralized), which further verifies the comprehensive advantages of the algorithm in terms of segmentation accuracy and stability. …"

The execution process of DPC algorithm. حسب Niu Meng (22032810)

"…The experimental results show that the proposed method shortens the execution time by nearly 40% compared with the self-organized mapping network, and the average color difference (ΔE) of each region after color segmentation is as low as 0.7, which is significantly better than other algorithms. Meanwhile, in the detection of the four types of printed fabric samples, the obtained average color value is up to 87.49 (the higher the 0–100 score value indicates that the color is more significant), and the smallest standard deviation is 2.18 (the smaller the value indicates that the color segmentation is more centralized), which further verifies the comprehensive advantages of the algorithm in terms of segmentation accuracy and stability. …"

The construction process of the FCM clustering algorithm. حسب Xini Fang (20861990)

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Optimization process of BO algorithm. حسب Hoa Thi Trinh (20347834)

"…The study used the largest database of RC walls to date, consisting of 1057 samples with various cross-sectional shapes. Bayesian optimization (BO) algorithms, including BO—Gaussian Process, BO—Random Forest, and Random Search methods, were used to refine the XGBoost model architecture. …"