Simulation parameters set analogously for all of the algorithms. by Sandeep Yerrathi (17775761)

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Demonstration of algorithm convergence. by Quyuan Wang (8724972)

“…To maintain dynamic market equilibrium, we develop two types of pricing algorithms, one based on stepped price adjustments for selected sellers, and another based on smoothed adjustments for all sellers. …”

The relaxed gradient based iterative algorithm for solving the generalized coupled complex conjugate and transpose Sylvester matrix equations by Yanping Long (10171727)

“…(Journal of the Franklin Institute, 2018), we adopt relaxation technique and introduce relaxation factors into the gradient based iterative (GI) algorithm, and the relaxed based iterative (RGI) algorithm is established to solve the generalized coupled complex conjugate and transpose Sylvester matrix equations. …”

Optimal ovarian cancer BNs learned by CausNet and CausNet-partial. by Nand Sharma (21519845)

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APL, ACC and ACC /APL of the optimal benchmark networks with different mixing parameter. by Ruochen Zhang (3434996)

Subjects: “…multiobjective evolutionary algorithm…”

Optimal cluster head approach. by Sandeep Yerrathi (17775761)

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Optimal cluster formation approach. by Sandeep Yerrathi (17775761)

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A comparison among different optimizations and classifiers. by Nour Eldeen Mahmoud Khalifa (19259450)

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The Pareto-optimal fronts on the random network with 10 added edges and its corresponding solutions. by Ruochen Zhang (3434996)

Subjects: “…multiobjective evolutionary algorithm…”

The Pareto-optimal fronts on the regular network with 10 added edges and its corresponding solutions. by Ruochen Zhang (3434996)

Subjects: “…multiobjective evolutionary algorithm…”

APL, ACC and ACC /APL of the optimal networks with different goals and number of added edges. by Ruochen Zhang (3434996)

Subjects: “…multiobjective evolutionary algorithm…”

Evolution of changing weights in the optimization of the MPC controller. by Hedyeh Jafari (9667127)

Subjects:

More Numerical Precision for Less Compute Cost: Optimizing a Local Correlation Algorithm for Second Order Møller–Plesset Theory and Comparing against Pair Natural Orbital Methods... by Zhenling Wang (306377)

More Numerical Precision for Less Compute Cost: Optimizing a Local Correlation Algorithm for Second Order Møller–Plesset Theory and Comparing against Pair Natural Orbital Methods... by Zhenling Wang (306377)

Measures of predictive accuracy in four machine learning algorithms. by Ryan P. Strum (12411239)

Determination of optimal number of clusters. by Karl Gauffin (3175503)

Percentage of edges added within the same community in the optimal benchmark networks with different mixing parameter and goals. by Ruochen Zhang (3434996)

Subjects: “…multiobjective evolutionary algorithm…”

Table_1_Unveiling suspicious phishing attacks: enhancing detection with an optimal feature vectorization algorithm and supervised machine learning.DOCX by Maruf A. Tamal (18947776)

“…Subsequently, data cleansing, curation, and dimensionality reduction were performed to remove outliers, handle missing values, and exclude less predictive features. To identify the optimal model, the study evaluated and compared 15 SML algorithms arising from different machine learning (ML) families, including Bayesian, nearest-neighbors, decision trees, neural networks, quadratic discriminant analysis, logistic regression, bagging, boosting, random forests, and ensembles. …”

Table_2_Unveiling suspicious phishing attacks: enhancing detection with an optimal feature vectorization algorithm and supervised machine learning.DOCX by Maruf A. Tamal (18947776)

“…Subsequently, data cleansing, curation, and dimensionality reduction were performed to remove outliers, handle missing values, and exclude less predictive features. To identify the optimal model, the study evaluated and compared 15 SML algorithms arising from different machine learning (ML) families, including Bayesian, nearest-neighbors, decision trees, neural networks, quadratic discriminant analysis, logistic regression, bagging, boosting, random forests, and ensembles. …”

Architecture of the EfficientNetB3-based regression model used for cattle weight prediction. by Md Junayed Hossain (22615268)

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