Difference line graph of "weighted-F1 minus macro-F1". by Lu Xiao (314030)

Difference line graph of "micro-F1 minus weighted-F1". by Lu Xiao (314030)

The flowchart showing the optimization process of the hybrid methods using BEOSA as the base algorithm and SA and FFA as integrated algorithms. by Olaide N. Oyelade (14047002)

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Regression plot showing the relationship between accuracy and F-score, with a fitted trend line and confidence interval. by Amal H. Alharbi (21755906)

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

Pairplot of classification metrics including accuracy, sensitivity, specificity, PPV, NPV, and F-score with regression lines showing linear trends between metric pairs. by Amal H. Alharbi (21755906)

Structure diagram of the optimized YOLOv8s model. by Xinwei Wang (352488)

Accuracy and F-Measure Analysis. by Afnan M. Alhassan (18349378)

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PSO algorithms flowchart. by Mohammed F. Elnaggar (18297954)

mAP@0.5 line charts for different models. by Meiling Shi (13148944)

The stability factor of the optimized PA. by Mohammad Soruri (15419087)

“…The widths and lengths of the microstrip lines in the input and output matching networks are defined as the parameters that the Hidden Markov Model should optimize. …”

Bivariate analysis using line plot for casing, bearing & impeller vs pressure. by Gaurav Sandeep Dave (21519884)

Proposed Algorithm. by Hend Bayoumi (22693738)

“…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. EHRL integrates Reinforcement Learning (RL) with Deep Neural Networks (DNNs) to dynamically optimize binary offloading decisions, which in turn obviates the requirement for manually labeled training data and thus avoids the need for solving complex optimization problems repeatedly. …”

An optimization process of the proposed hybrid BEOSA (HBEOSA) combining both SA and FFA methods into BEOSA. by Olaide N. Oyelade (14047002)

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Hyper-parameter tuning of the proposed model. by Afnan M. Alhassan (18349378)

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The workflow diagram for the gene expression biomarker study which involve using principal component analysis (PCA) to reduce the number of features (principal components), thus re... by Aninda Astuti (21736334)

Accuracy Comparison of CDL with Other Deep Learning Models. by Afnan M. Alhassan (18349378)

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A mid-sagittal view of a lumbar spine MRI showing the intersection lines between the sagittal plane and the traverse planes that are shown in Fig 3. by Friska Natalia (9592260)

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

“…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. EHRL integrates Reinforcement Learning (RL) with Deep Neural Networks (DNNs) to dynamically optimize binary offloading decisions, which in turn obviates the requirement for manually labeled training data and thus avoids the need for solving complex optimization problems repeatedly. …”

<b> </b> GoF values for males and females together with the corresponding effect sizes (ES) of the observed differences. (A-B) Colored boxplots show the distributions of the median model fits obtained for males (brown) and females (pink) in 30 algorithm executions with random initial data (option 2, see Methods).... by Kevin J. Wischnewski (21354521)

“…(A-B) Colored boxplots show the distributions of the median model fits obtained for males (brown) and females (pink) in 30 algorithm executions with random initial data (option 2, see Methods). …”