a) FO Function, b) FI function. by Huang Jiexian (17060975)

“…The SRL32 primitive (Reconfigurable Look up Tables—RLUTs) and DPR (Dynamic Partial Reconfiguration) are employed to reconfigure single round MISTY1 / KASUMI algorithms on the run-time. The RLUT based architecture attains dynamic logic functionality without extra hardware resources by internally modifying the LUT contents. …”

Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. by Yuanchen Zhao (12905580)

“…<p>(A), (B) Algorithm performance, evaluated over 50 simulated datasets generated as described in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012590#pcbi.1012590.g001" target="_blank">Fig 1</a> with <i>N</i> = 3 true groups, 900 samples and 10% simulated measurement noise. …”

Proportional survival plot of asymptotic, linear, logistic, and pseudo-gamma functional forms against growth time. by Ryu B. Lippmann (14797597)

Flowchart of one iteration of the CE-Symm algorithm. by Spencer E. Bliven (6672755)

Comparison of the performance of both models against 13 other models on the independent test dataset. by Aastha Vatsyayan (9981916)

Subjects:

(a) Radar chart of these algorithms (23 Benchmark functions), (b) The sorting diagram of these algorithms (23 Benchmark functions). by Yu Liu (6938)

“…<p>(a) Radar chart of these algorithms (23 Benchmark functions), (b) The sorting diagram of these algorithms (23 Benchmark functions).…”

Effect of “nonfunctional group” on function. by Yuanchen Zhao (12905580)

“…The red line is the least-squares line and r marks the Pearson correlation. (B) The coefficients of all species of a <i>S</i>–dimensional regression of function against all <i>S</i> species, for the same dataset as in (A). …”

Genetic Algorithm (GA) and CAGE-based personalization block diagrams. by Dmitrii Smirnov (8822324)

“…(<b>B</b>) Algorithm verification with molecular (mRNA expression) and functional data (optical mapping). …”

Multi-Objective Cooperative Paths Planning for Multiple Parafoils System Using a Genetic Algorithm by Chen Qi (2803873)

“…Parafoils’ paths are encoded by real matrix, and the cooperative relationship between parafoils is realized by paths fitness function. The random single point crossover and Gaussian mutation are introduced to accelerate algorithm convergence rate. …”

The comparison for the number of the objective function against the number of iterations. by Jamilu Sabi’u (18794062)

The SVM objective function minimization against iterations. by Ali Ahmed (2567584)

Performance SDYM against SCGP, SRMIL, and MDY for function evaluations. by Jamilu Sabi’u (18794062)

The comparison for the number of the objective function against processing time (seconds). by Jamilu Sabi’u (18794062)

Post-stroke change in modularity for different clustering algorithms, numbers of clusters and edge density threshold ranges. by Francisco Páscoa dos Santos (16510676)

The schematic view of the Radial Basis Function (RBF) algorithm. by Mohsen Yoosefzadeh-Najafabadi (6917399)

Search Algorithms and Loss Functions for Bayesian Clustering by David B. Dahl (11761055)

Comparative statistical results obtained against benchmark functions. by Serdar Ekinci (15927455)

Convergence curves of the voltage profile improvement by using (a) the HFPSO algorithm and (b) the PSO algorithm. by Abdullah Khan (377292)

Convergence curves of voltage stability enhancement based on (a) the HFPSO algorithm and (b) the PSO algorithm. by Abdullah Khan (377292)

SP results of algorithms in the CEC 2009 test functions. by Vahid Goodarzimehr (21343124)