Available functions in the phase-shifting package. by Raul Castañeda (13932971)

Available functions in the numerical propagation package. by Raul Castañeda (13932971)

Available functions in the phase reconstruction package. by Raul Castañeda (13932971)

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

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DMTD algorithm. by Yunhu Huang (21402795)

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Denoising evaluation indicators for fingerprint images using different algorithms. by Bingbing Li (461702)

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Structural changes of images after denoising using different algorithms. by Bingbing Li (461702)

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Box plots of different algorithms on CEC2017 functions (dim = 30,100) and CEC2022 functions (dim = 20). by Qingwen Meng (156386)

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Sensitivity results from the Morris screening algorithm. by Mitchel J. Colebank (7390403)

Comparison of PSOLFWM with other meta-heuristic algorithms using t-Test. by Yong Gao (29929)

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The block diagram of the ASO algorithm implementation for inverse modeling. by Ahmad Al-Talabi (21387479)

Types of training algorithms. by Caixia Yan (6647072)

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

Benchmark functions used and their details. by Wei Liu (20030)

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Distribution of FEV1/FVC in pulmonary function tests with discrepant interpretations between the algorithm and the clinicians. by Yuh-Chin T. Huang (17867207)

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The pseudocode for the NAFPSO algorithm. by Huichao Guo (14515171)

“…A scheduling optimization model based on the particle swarm optimization (PSO) algorithm is proposed. In view of the high-dimensional complexity and local optimal problems, the neighborhood adaptive constrained fractional particle swarm optimization (NACFPSO) algorithm is used to solve it. …”

PSO algorithm flowchart. by Huichao Guo (14515171)

“…A scheduling optimization model based on the particle swarm optimization (PSO) algorithm is proposed. In view of the high-dimensional complexity and local optimal problems, the neighborhood adaptive constrained fractional particle swarm optimization (NACFPSO) algorithm is used to solve it. …”

The SSIM for the different algorithms. by Bingbing Li (461702)

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LF and SP optimum values using the PSOGSAHO algorithm. by Nada Ahmed Ezz-Eldien (17396553)

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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)

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