Multi-functional liquid crystal devices based on random binary matrix algorithm by Tibin Zeng (10890697)

“…Using the new algorithm, several phase-mixing devices were fabricated, and the experiment verified the relationship of the light intensity, polarisation, phase and the algorithm. …”

Algorithm flowchart. by Wang Xiang (5435141)

“…After determining the functional relationship between the control intensity and the number of tourists and the cumulative number of confirmed cases, the NSGA-II algorithm is employed to perform multi-objective optimization with consideration of the requirements for epidemic prevention and control and for economic development to get an appropriate traffic control intensity and suggest scientific traffic control measures. …”

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. …”

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

“…When using the algorithm for denoising, the research method had a minimum denoising time of only 13ms, which saved 9ms and 3ms compared to the hard threshold algorithm (Hard TA) and soft threshold algorithm (Soft TA), respectively. …”

Tracking the discrete cluster assignment derived from HAC according to the linkage function used applied to the −log₂ IBD distance matrix. by James A. Watson (7305206)

“…Average linkage was arbitrarily chosen as the ‘reference’ method (any of four linkage functions could be used). These colours are then used to produce stacked barplots for cluster membership derived from three other algorithm specifications (complete, single and Ward’s criterion, panels B-D, respectively).…”

Functional SNP region. by Mahmudul Hasan Rifat (12884620)

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

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Running memory of the algorithms. by Yanju Zhang (437336)

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Line charts of the elbow method and the k-value selection algorithm: (A) elbow method; (B) k-value selection algorithm. by Jingnan Yan (20727331)

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Comparison of algorithm search curves. by Bowen Li (200859)

“…Then, combining with the idea of fast density clustering algorithm, the number of hidden layer neurons of RBF is determined by finding the point with the highest density and using it as the hidden layer neuron. …”

Artificial colony algorithm flow. by Jianpeng Zhang (528185)

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Pseudo-code of ABC algorithm. by Jianpeng Zhang (528185)

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Complementary cumulative distribution functions of in degree distribution and fitted power law, lognormal and truncated power law distributions. by Olga Valba (10531121)

Types of training algorithms. by Caixia Yan (6647072)

Test function results. by Ruyi Dong (9038174)

Subjects: “…effective optimization algorithm…”

Benchmark test functions. by Ruyi Dong (9038174)

Subjects: “…effective optimization algorithm…”

Construction of the PRG score index using integrated machine learning algorithms. by Xiangxin Wu (22320058)

A parabolic relationship between prediction errors and learning rates obtained by a cubic learning algorithm. by Boluwatife Ikwunne (22238697)

Biological Function Assignment across Taxonomic Levels in Mass-Spectrometry-Based Metaproteomics via a Modified Expectation Maximization Algorithm by Gelio Alves (51850)

“…To overcome this limitation, we implemented an expectation-maximization (EM) algorithm, along with a biological function database, within the MiCId workflow. …”

Ms.FPOP: A Fast Exact Segmentation Algorithm with a Multiscale Penalty by Arnaud Liehrmann (10970682)

“…This penalty was proposed by Verzelen et al. and achieves optimal rates for changepoint detection and changepoint localization in a non-asymptotic scenario. Our proposed algorithm, Multiscale Functional Pruning Optimal Partitioning (Ms.FPOP), extends functional pruning ideas presented in Rigaill and Maidstone et al. to multiscale penalties. …”