Control flow graph representations for two variants of Flash-X's Spark algorithms by Youngjun Lee (17715365)

“…Spark’s numerical algorithms are represented in orange, which are subgraphs of control flow consisting of multiple nodes, and these subgraphs are reused in both variants. …”

CEC 2018 convergence curves for selected functions with various dimensions. by Mohammad H. Nadimi-Shahraki (14322248)

Schematic representation of the edge-cutting algorithm. by Pratik Mullick (12851011)

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Pictorial representation of the edge-cutting algorithm. by Pratik Mullick (12851011)

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Algorithm of the scale-free induced subgroup. by Takayuki Niizato (162226)

Function values by the two rescheduling measures. by Yuxuan Long (17720796)

Membership function of output for tank 1. by Tamiru Demelash Kassie (20678515)

Membership function of output for tank 2. by Tamiru Demelash Kassie (20678515)

Four, five, and ten-dimensional benchmark test-functions. by Salisu Mohammed (772274)

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Plots of convergence curves on 2-D benchmark functions. by Salisu Mohammed (772274)

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Plots of convergence curves on 30-D benchmark functions. by Salisu Mohammed (772274)

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The algorithm for achieving the research objectives illustrating the process of developing a mathematical model of the braking moment as a function of tire deformation. by Bartosz Wieczorek (8098352)

Continuous Flow Chemistry and Bayesian Optimization for Polymer-Functionalized Carbon Nanotube-Based Chemiresistive Methane Sensors by John H. Dunlap (5954933)

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Flow of the inventory model with the proposed Markov approach. by Ferhat Yuna (21519851)

Results from BELUGA Genetic Algorithm. by Andrew D. Marquis (10757660)

Distribution of small airway disease index (SADI in degree angle) in pulmonary function tests with FEV1/FVC ≥ 0.7. by Yuh-Chin T. Huang (17867207)

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Data preprocessing flow-chart. by Anant Shinde (3954662)

Brief sketch of the quasi-attraction/alignment algorithm. by Takayuki Niizato (162226)

The summarized flow of the methodology. by Namal Rathnayake (15361124)

“…Results of the study showcased that both systems can simulate river flows as a function of catchment rainfalls; however, the Cat gradient Boosting algorithm (CatBoost) has a computational edge over the Adaptive Network Based Fuzzy Inference System (ANFIS). …”

The skeleton algorithm identifies mitochondrial density in sample images from cells. by Margarita M. Ivanova (11604141)