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

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

Traditional versus algorithmic process. by 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. by 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 process chain of the de-jitter algorithm. by Hannes Benecke (17409369)

Subjects:

Process flow diagram for the differential analysis of beta-valued DNA methylation data using a novel family of beta mixture models. by Koyel Majumdar (20416871)

Subjects:

Unit cell distribution of the indexed HEWL images processed by by Ki Hyun Nam (5813819)

Subjects:

Unit cell distribution of the indexed GI images processed by by Ki Hyun Nam (5813819)

Subjects:

Dual deconvolution algorithm: analysis code with experimental data by Wonshik Choi (18877660)

“…<p dir="ltr">This software package provides key algorithms for dual-deconvolution microscopy analysis, along with both experimental and numerical data. …”

Data pre-processing and identification of DEGs. by Ziyang Liu (242055)

Comparative analysis of computational efficiency across various hyperparameter optimization algorithms on the CSMAR and MorningStar datasets. by Cai Yuanqing (22513351)

The segmentation process of this new algorithm. by 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. by 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. …”

Sample of product appearance design images. by Cheng-jie Chen (22272090)

Subjects:

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

Subjects:

Optimization process of BO algorithm. by 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. …”

Proposing sequence genetic distances with a locally greedy algorithm. by Hannah Waddel (21520023)

A data processing scheme for spatially explicit soil spectral calibration. by José L. Safanelli (20552654)

Subjects:

Processed images with FID algorithm for raw and preprocessed THz images for three samples. by Ha-Neul Lee (21616025)

“…<p>Processed images with FID algorithm for raw and preprocessed THz images for three samples.…”

Schematic of the volume-independent sampling algorithm. by Alexander G. Ginsberg (19510759)

LENA ASP validation for adult and child segments (Meera et al., 2025) by Shoba S. Meera (20329597)

Subjects: