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

Subjects:

Scenarios for algorithms using IEEE 33 bus. by Bachirou Bogno (20485724)

Scenarios for algorithms using IEEE 69 bus. by Bachirou Bogno (20485724)

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

Subjects:

Proportion of simulated data with improved likelihood from using multiple restarts (Algorithm 1). by Jesse Wheeler (18462457)

Subjects: “…routinely applicable algorithm…”

Algorithm parameters. by Ruyi Dong (9038174)

Subjects: “…dimensional benchmark functions…”

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)

Subjects:

DMTD algorithm. by Yunhu Huang (21402795)

Subjects:

Run times of two algorithms. by Gourab Saha (8987405)

Subjects:

WGCNA and machine learning algorithms. by Shushu Wang (6870191)

Matlab code of a function used in S2 File. by Hiroko Kato Solvang (5718250)

Flowchart for the Tabu Search Algorithm [43]. by Ferhat Yuna (21519851)

Subjects:

Control parameters of the SOMA algorithm. by Quoc Bao Diep (18452207)

Subjects: “…organizing migrating algorithm…”

Algorithm detection steps. by José M. Rivera-Arbeláez (12418512)

Coarse-fine optimization algorithm. by Chao Ma (207385)

“…The improved gradient extraction method combines the Scale Invariant Feature Transformation (SIFT) algorithm to form a new multi-scale image sharpness evaluation function, SIFT Quad-Tenen. …”

Types of training algorithms. by Caixia Yan (6647072)

Sensor value scenario for fuzzy logic algorithm. by Gourab Saha (8987405)

Subjects:

Flowchart of the general algorithm for one trial. by Junying Wang (509009)

Contrast enhancement of digital images using dragonfly algorithm by Soumyajit Saha (19726163)

“…The article deals with contrast enhancement as an optimization problem and uses the Dragonfly Algorithm (DA) to find the optimal grey-level intensity values. …”

The algorithm is designed to identify patterns in the treatment dataset. by Belén Otero-Carrasco (21262360)

“…<p>This process involves two key functions. First, from lines 1 to 8, the algorithm identifies amino acids that meet the occurrence threshold, starting with patterns of length 1. …”