Similarity between the allegiance matrices of the multiplex SC-FC graph, the FC graph alone, and the SC graph alone, as a function of the topological scale for the group. by Arian Ashourvan (6685232)

Cleavage time as a function of scaled fiber diameter. by Roukayatou R. Ouedraogo (20460980)

Comparison between different PSO algorithms on function 4–6. by Lai Xu (1828831)

Comparison between different PSO algorithms on function 1–3. by Lai Xu (1828831)

Comparison between different PSO algorithms on function 7–8. by Lai Xu (1828831)

Changes in the relative abundances of signaling functions across initial GA-LR pairs. by Erick Armingol (5125595)

“…Changes were computed from the fold change (FC) between the relative abundance in each of the 100 runs of the genetic algorithm (GA) with respect to the corresponding relative abundance in the complete list of LR pairs (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010715#pcbi.1010715.s002" target="_blank">S1 Table</a>), and shown as the log10(FC+1) transformation (x-axis). …”

RMSE values of different algorithms for different bands in the "Kherson" region. by YueSheng Jiang (19267984)

RMSE values of different algorithms for different bands in the "PY" region. by YueSheng Jiang (19267984)

Comparison results on benchmark functions with traditional algorithms. by Xiaoyi Zhang (577299)

Mutations of the gene expression fold change (FC) over wildtype. by Fangzhou Shen (5140994)

The ERAD pathway also contributes to ROMK mutant turnover in HEK293 cells. by Nga H. Nguyen (2075920)

Comparison of benchmark function results between improved algorithms. by Xiaoyi Zhang (577299)

Curves of sigmoid functions used in our proposed algorithm. by Binh Thanh Dang (12368831)

The optimization results of each algorithm for the 8 benchmark functions. by Guangwei Liu (181992)

Subjects:

Median fiber cleavage time (black) and the fraction of successful runs (red) for different parameter values. by Roukayatou R. Ouedraogo (20460980)

Classification algorithm implemented in SPARTA. by Baptiste Ruiz (20285217)

Comparison of benchmark function results between traditional algorithms with 60 dimensions. by Xiaoyi Zhang (577299)

The optimization results of each algorithm for the CEC2019 benchmark functions. by Guangwei Liu (181992)

Subjects:

Flowchart of proposed fitness function algorithm. by Ferhat Yuna (21519851)

“…The mathematical model was transformed into a fitness function and a solution was provided with the Tabu Search Algorithm and Simulated Annealing. …”

Average accuracy (across all 12 subject) as a function of the number of eigenvectors obtained with different dimensionality reduction techniques for the best classifier—k-NN (see a... by Elnaz Lashgari (11278808)