Proposed Algorithm. by Hend Bayoumi (22693738)

Subjects:

Comparisons between ADAM and NADAM optimizers. by Hend Bayoumi (22693738)

Subjects:

Sensitivity values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

Specificity values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

Fitness values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

Number of features selected for IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

Classification accuracy values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

F-score values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

Flowchart depicting the structure of the BDMO algorithm. by Olatunji A. Akinola (13919696)

An Example of a WPT-MEC Network. by Hend Bayoumi (22693738)

Subjects:

Related Work Summary. by Hend Bayoumi (22693738)

Subjects:

Simulation parameters. by Hend Bayoumi (22693738)

Subjects:

Training losses for N = 10. by Hend Bayoumi (22693738)

Subjects:

Normalized computation rate for N = 10. by Hend Bayoumi (22693738)

Subjects:

Summary of Notations Used in this paper. by Hend Bayoumi (22693738)

Subjects:

Correlation heatmap of performance scores among different feature selection algorithms: bOcOA, bPSO, bGWO, bFA, bGA, and bWAO. by Doaa Sami Khafaga (21463870)

Density distribution plot of performance metrics for various feature selection algorithms: bOcOA, bPSO, bGWO, bFA, bGA, and bWAO. by Doaa Sami Khafaga (21463870)

CDF of task latency, approximated as the inverse of the achieved computation rate. by Hend Bayoumi (22693738)

Subjects:

Optimizing Kernel Transformations to Handle Binary Class Imbalanced Dataset Classification by Vaibhavi Patel (19843282)

The Pseudo-Code of the IRBMO Algorithm. by Chenyi Zhu (9383370)

“…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …”