Auto-correlation test and white noise test results of difference sequences in the CS-BP prediction model. by Jiayuan Wang (3765376)

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Comparison results of time complexity. by Jiayuan Wang (3765376)

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Wind power comparison results. by Jiayuan Wang (3765376)

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Prediction of transmission rates , for two VOIs in five regions using the VOCs-INN algorithm. by Wenxuan Li (2566450)

Rank of prediction models fitted with the Open Soil Spectral Library (OSSL). by José L. Safanelli (20552654)

Positive predictive value (PPV, %) by survival time following first seizure code. by André Idegård (22041446)

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<b> </b> GoF values for males and females together with the corresponding effect sizes (ES) of the observed differences. (A-B) Colored boxplots show the distributions of the median model fits obtained for males (brown) and females (pink) in 30 algorithm executions with random initial data (option 2, see Methods).... by Kevin J. Wischnewski (21354521)

“…(A-B) Colored boxplots show the distributions of the median model fits obtained for males (brown) and females (pink) in 30 algorithm executions with random initial data (option 2, see Methods). …”

The silhouette coefficient scores for different algorithms at various levels. by Xiaojie Feng (6873953)

Subjects: “…original multidimensional data…”

Implementation code and computational results.  by Xunqian Xu (21261899)

The sampled values and the fitted values. by Hongjun Meng (5031806)

Flowchart for GR codes. by R. Sakthivel (2589547)

“…The algorithm was developed and coded in Verilog and simulated using Modelsim. …”

S_Data. by Wei Jiang (14986)

Positive predictive values (PPVs) of the register-based algorithms to identify individuals with poststroke epilepsy (PSE). All algorithms required (i) a diagnostic code for stroke... by André Idegård (22041446)

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Variable selection for microbiome data. by Evan Gorstein (20553314)

Variable selection for GWAS data. by Evan Gorstein (20553314)

Flowchart of the data-driven vs. the conventional approach. by Noam Omer (21402801)

“…The conventional approach, in contrast, relies on a simulated dictionary of single-T₂ decay curves, E, which does not consider the data itself. Both approaches then apply the same regularized nonnegative least square (rNNLS) fitting algorithm to locally deconvolve the signal in each voxel.…”

Code. by Shamsuz Zoha (22339469)

Fitted density estimates under the K⋅⋅ model on a simulated dataset from sample type A. by Koyel Majumdar (20416871)

Fitness score statistics for BADASS optimization of alpha-amylase (AMY_BACSU). by Carlos A. Gomez-Uribe (21492788)

Subjects: “…innovative optimization algorithm…”

Convergence curve of sparrow search algorithm. by Yue Guo (695495)