Continuous Probability Distributions generated by the PIPE Algorithm by LUIS G.B. PINHO (14073372)

“…The PIPE algorithm can generate several candidate functions to fit the empirical distribution of data. …”

Pyrho Validation - Check re-gridded periodic data by Jimmy Shen (12664675)

23 benchmark functions. by Yu Liu (6938)

“…<div><p>The competition of tribes and cooperation of members algorithm (CTCM) is a novel swarm intelligence algorithm, which increases the diversity of the population to a certain extent through tribal competition and member cooperation mechanisms. …”

Theoretical models used in this study and the aspects in which they were applied. by Jennifer Hornung Garvin (20765727)

Pipeline of the interactor algorithm. by Jose Cleydson F. Silva (8685594)

Metabolic tasks can be inferred from omics data to determine which tasks should be protected during the model extraction process. by Anne Richelle (6589178)

Overall framework of OptRAM. by Fangzhou Shen (5140994)

Predictions from a Universal Value Function Approximator (UVFA) algorithm. by Sam Hall-McMaster (10343795)

The SSIM for the different algorithms. by Bingbing Li (461702)

“…The mean square error decreased by 0.10dB. When using the algorithm for denoising, the research method had a minimum denoising time of only 13ms, which saved 9ms and 3ms compared to the hard threshold algorithm (Hard TA) and soft threshold algorithm (Soft TA), respectively. …”

Algorithm operation steps. by Junyan Wang (4738518)

“…To address these issues, this paper proposes an improved object detection algorithm named SCI-YOLO11, which optimizes the YOLO11 framework from three aspects: feature extraction, attention mechanism, and loss function. …”

Comparison of algorithm search curves. by Bowen Li (200859)

“…At the same time, the characteristics of Gaussian function are introduced to ensure the activity of hidden layer neurons. …”

Replica Exchange Monte Carlo (REMC) and Quantum Computing algorithms were tested on systems containing more than 45 stems, which exceeds the practical limit of what can be solved w... by Dillion M. Fox (4043159)

The list of genes which were identified after direct merging. by Bahman Panahi (7323578)

Significantly dysregulated proteins (|log2FC | ≤  0.5, adj. p-value ≤  0.05) in SCA1 (805 proteins). by Aimilia-Christina Vagiona (17584758)

ANOVA tests for Benchmark functions. by Yu Liu (6938)

“…<div><p>The competition of tribes and cooperation of members algorithm (CTCM) is a novel swarm intelligence algorithm, which increases the diversity of the population to a certain extent through tribal competition and member cooperation mechanisms. …”

The Wilcoxon results for Benchmark functions. by Yu Liu (6938)

“…<div><p>The competition of tribes and cooperation of members algorithm (CTCM) is a novel swarm intelligence algorithm, which increases the diversity of the population to a certain extent through tribal competition and member cooperation mechanisms. …”

Convergence graphs of Benchmark functions. by Yu Liu (6938)

“…<div><p>The competition of tribes and cooperation of members algorithm (CTCM) is a novel swarm intelligence algorithm, which increases the diversity of the population to a certain extent through tribal competition and member cooperation mechanisms. …”

Schematics for gmxapi operations. by M. Eric Irrgang (4487278)

The pseudocode for the NAFPSO algorithm. by Huichao Guo (14515171)

“…In addition, with the increase of pipeline complexity, NACFPSO can still maintain its advantages in convergence speed and scheduling time, especially in scheduling time, which further verifies the optimization effect of the algorithm in emergency management.…”

PSO algorithm flowchart. by Huichao Guo (14515171)

“…In addition, with the increase of pipeline complexity, NACFPSO can still maintain its advantages in convergence speed and scheduling time, especially in scheduling time, which further verifies the optimization effect of the algorithm in emergency management.…”