The probability density function of points in feature space of variance versus mean of the local field for (0,3] and (0,3] displayed as a contour-plot. by Ali Talebi (7164203)

Variations of loss functions versus epoch number. by Xueliang Guo (4797057)

(a): These systems were simulated for (0,3] and (0,3] without the prior knowledge about different phases, and the probability density function of points in feature space illustrate... by Ali Talebi (7164203)

“…(b): The dense areas are separated by removing the data less than threshold = 0.5 in the probability density function. (c): The centroid of each cluster is determined by the K-means algorithm.…”

Explained variance ration of the PCA algorithm. by Abeer Aljohani (18497914)

Subjects:

Comparison of classification accuracy across different machine learning models using the objective function metric. by Amal H. Alharbi (21755906)

Phase stability at interfaces (dataset) by J Pitfield (21962924)

Predicting the Mutagenic Activity of Nitroaromatics Using Conceptual Density Functional Theory Descriptors and Explainable No-Code Machine Learning Approaches by Andrés Halabi Diaz (20798460)

“…This study integrates conceptual density functional theory (CDFT) descriptors with explainable no-code machine learning (ML) models to predict NA mutagenicity based on Ames test results. …”

Multidimensional test results of BWEMFO and MFO on IEEE CEC 2017 test functions. by Jingjing Ma (419752)

Subjects:

Mathematical expressions, weight functions, domains, and orthogonality conditions of various orthogonal polynomials. by Abeer Aljohani (18497914)

Subjects:

Comparative experimental ranking results of BWEMFO and other famous optimization methods on IEEE CEC 2017 test functions. by Jingjing Ma (419752)

Subjects:

Accuracy of the Random forest algorithm for different values of test samples and different choice of random states. by Abeer Aljohani (18497914)

Subjects:

Accuracy of the Random forest algorithm for different values of test samples and different choice window indexes. by Abeer Aljohani (18497914)

Subjects:

Data pre-processing and identification of DEGs. by Ziyang Liu (242055)

Subjects:

Parametric study of accuracy of the Random forest algorithm for different proportions of test samples and different choice of random states. by Abeer Aljohani (18497914)

Subjects:

Performance of SVM model for various kernel functions. by Xueliang Guo (4797057)

Accuracy of the support vector machines for different proportion of test samples. by Abeer Aljohani (18497914)

Subjects:

Graphical illustration of a spectral approach for training support vector machine. by Abeer Aljohani (18497914)

Subjects:

Variance of local fields versus mean of local fields for (a) , (b) . by Ali Talebi (7164203)

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

Accuracy of the support vector machines for different proportion of test samples and different length of nodes used for training. by Abeer Aljohani (18497914)

Subjects: