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

Structure of decision tree model. حسب Daihong Li (14642581)

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Proposed Algorithm. حسب Hend Bayoumi (22693738)

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

Final values of R²-scores for three models. حسب Daihong Li (14642581)

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

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

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

"…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …"

IRBMO vs. meta-heuristic algorithms boxplot. حسب Chenyi Zhu (9383370)

"…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …"

IRBMO vs. feature selection algorithm boxplot. حسب Chenyi Zhu (9383370)

"…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …"

Influence of SGC7+ and ρ (g/cc) on the output. حسب Daihong Li (14642581)

الموضوعات:

The training dataset used in this work [2]. حسب Daihong Li (14642581)

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Demonstration of Cook’s distance outlier detection. حسب Daihong Li (14642581)

الموضوعات:

Trends of API on multiple temperature levels (� = 0.35, � = 1.62, � = 3.21, �+ = 94.81, MWC7+ = 338.41, SGC7+ = 0.95, ρ (g/cc) at 20°C = 0.941). حسب Daihong Li (14642581)

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Residual plot of tuned MLP model. حسب Daihong Li (14642581)

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Methodology framework for correlation of crude oil viscosity. حسب Daihong Li (14642581)

الموضوعات:

Effect of temperature and ρ (g/cc) on the output. حسب Daihong Li (14642581)

الموضوعات:

Actual Vs. estimated outputs (DT model). حسب Daihong Li (14642581)

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Actual Vs. estimated outputs (GRNN model). حسب Daihong Li (14642581)

الموضوعات:

Trends of density on multiple temperature levels (API = 18.6, � = 0.35, � = 1.62, � = 3.21, �+ = 94.81, SGC7+ = 0.95. حسب Daihong Li (14642581)

الموضوعات:

Actual Vs. estimated outputs (MLP model). حسب Daihong Li (14642581)

الموضوعات:

The whole test dataset [2]. حسب Daihong Li (14642581)

الموضوعات: