Parameter Settings for competitive algorithms. by Genliang Li (5816264)

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Algorithm parameter settings. by Yue Guo (695495)

IDRAS algorithm outline. by Ron Teichner (21492434)

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Test set prediction results of four algorithms. by Yu Jie Guang (22184340)

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Experimental software and hardware configuration and algorithm initialization parameter settings. by Lu Lin (201289)

Feature importance of selected predictors by genetic algorithm. by Taiwo A. Adekunle (22226868)

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Variance component estimation for GWAS data. by Evan Gorstein (20553314)

Data set visualization. by Rizk M. Rizk-Allah (18625751)

Periodic Table’s Properties Using Unsupervised Chemometric Methods: Undergraduate Analytical Chemistry Laboratory Exercise by Adrian Gabriel Pereira de Quental (20382423)

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Periodic Table’s Properties Using Unsupervised Chemometric Methods: Undergraduate Analytical Chemistry Laboratory Exercise by Adrian Gabriel Pereira de Quental (20382423)

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Variance component estimation for gene expression data. by Evan Gorstein (20553314)

Algorithm pseudocode. by Cheng-jie Chen (22272090)

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The structure of genetic algorithm (GA). by Ali Akbar Moosavi (17769033)

“…The prediction models ranked as PSO-NNs (R = 0.958; RMSE = 0.343; MAPE = 9.47), GA-NNs (R = 0.949; RMSE = 0.404; MAPE = 11.83), MLPNNs (R = 0.933; RMSE = 0.426; MAPE = 12.13), RBFNNs (R = 0.926; RMSE = 0.452; MAPE = 14.30), and MLR (R = 0.675; RMSE = 0.685; MAPE = 22.54) in terms of their performances for the test data set. Results revealed that all NN models particularly PSO-NNs were efficient in prediction of K_fs. …”

Scatter diagram of different principal elements. by Jizhong Wang (7441697)

“…Firstly, data on dissolved gases in oil is collected, and a 17 dimensional fault feature matrix is constructed using the uncoded ratio method. …”

Validation of IDRAS on an oscillating setpoint in a kinetic model. by Ron Teichner (21492434)

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Architecture of the block (5) from Fig 1. by Ron Teichner (21492434)

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Validation of IDRAS on a model of bacterial growth and division. by Ron Teichner (21492434)

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The spectral component of normal peoples and Covid-19 infected peoples. by Abeer Aljohani (18497914)

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A comparison of the spectral component of normal and abnormal images combined with the uniform window. by Abeer Aljohani (18497914)

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Distribution of (A) temporal difference set (DistT) and (B) spatial distance set (DistS) values by sample number, for the lightning data subset (Fig 3(B)) identified by the CC3D algorithm on 22 March 2015. by Manxing Shi (22367181)

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