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

Default and optimized parameters for each predictive model. حسب Emily S. Nichols (8740029)

Top-performing model configuration and performance by algorithm type. حسب Uğur Ejder (22683228)

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Proposed Algorithm. حسب Hend Bayoumi (22693738)

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

Personal algorithmic recommendations of potassium and phosphorous intake and the corresponding concentration predictions. حسب Jari Turkia (17912475)

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DataSheet1_Evolutionary algorithm for the optimization of meal intake and insulin administration in patients with type 2 diabetes.PDF حسب Eva Gonzalez-Flo (5046737)

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. …"

Nutrient predictors of the model. حسب Jari Turkia (17912475)

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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. …"

Flow diagram of the proposed model. حسب Uğur Ejder (22683228)

الموضوعات:

Comparison of model structures for personal nutrient effects. حسب Jari Turkia (17912475)

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Correlation plot of matrix C_<i>b</i> that includes the estimated within-model and cross-model correlations of personal effects. حسب Jari Turkia (17912475)

الموضوعات:

Correlation plot of matrix C_<i>g</i> that includes the estimated within-model and cross-model correlations in level of dialysis treatment. حسب Jari Turkia (17912475)

الموضوعات:

The comparison of the accuracy score of the benchmark and the proposed models. حسب Uğur Ejder (22683228)

الموضوعات:

The prediction accuracy of simple versus hybrid models. حسب Uğur Ejder (22683228)

الموضوعات:

Posterior predictive check (PPC) of the final nutritional effect model. حسب Jari Turkia (17912475)

الموضوعات:

Structure of the graphical model with general, treatment, and personal level nutrient effects. حسب Jari Turkia (17912475)

الموضوعات:

The accuracy score change matrix following model development. حسب Uğur Ejder (22683228)

الموضوعات: