Initial parameter values for all algorithms and algorithm-specific settings. by Amal H. Alharbi (21755906)

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Several loop patterns found in binary code. by Alba Pedro-Zapater (8600382)

Feature selection convergence time comparison of various binary metaheuristic algorithms. by Amal H. Alharbi (21755906)

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Feature selection diagnostics: distribution, correlation, and contribution heatmaps from the bDTOPRS process. by Amal H. Alharbi (21755906)

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Classification performance after optimization. by Amal H. Alharbi (21755906)

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ANOVA test for optimization results. by Amal H. Alharbi (21755906)

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Wilcoxon test results for optimization. by Amal H. Alharbi (21755906)

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Proposed Algorithm. by Hend Bayoumi (22693738)

“…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …”

Hyperparameter ranges and optimal values for all classification models. by Amal H. Alharbi (21755906)

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Summary of related works in machine learning and optimization for agriculture. by Amal H. Alharbi (21755906)

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

“…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …”

Coati optimization algorithm for brain tumor identification based on MRI with utilizing phase-aware composite deep neural network by Rajesh Kumar Thangavel (20591164)

“…In this research, Utilizing Phase-aware Composite Deep Neural Network Optimized with Coati Optimized Algorithm for Brain Tumor Identification Based on Magnetic resonance imaging (PACDNN-COA-BTI-MRI) is proposed. …”

Overview of the proposed machine learning pipeline for optimizing water quality classification using bDTOPRS, including preprocessing, feature selection, model training, and perfor... by Amal H. Alharbi (21755906)

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Wilcoxon test results for feature selection. by Amal H. Alharbi (21755906)

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Feature selection metrics and their definitions. by Amal H. Alharbi (21755906)

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Statistical summary of all models. by Amal H. Alharbi (21755906)

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Pairplot of physicochemical features in the water quality dataset, colored by the variable indicating potability (0 = not potable, 1 = potable). by Amal H. Alharbi (21755906)

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Comparative visual performance analysis across models using key classification metrics and their interrelationships. by Amal H. Alharbi (21755906)

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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)

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Classification convergence time showing fitness reduction over 100 iterations for DTOPRS-RBFN, DTO-RBFN, and benchmark models. by Amal H. Alharbi (21755906)

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