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

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Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things حسب Ashok Kumar K (21441108)

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

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

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

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Data collection during the patients’ usual treatment routine. 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)

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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)

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)

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

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

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

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Event-driven data flow processing. حسب Yixian Wen (12201388)

"…Subsequently, we implement an optimal binary tree decision-making algorithm, grounded in dynamic programming, to achieve precise allocation of elastic resources within data streams, significantly bolstering resource utilization. …"

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

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

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The statistical description of the original data set of the patients (<i>n</i> = 162). حسب Uğur Ejder (22683228)

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Comparison of baseline and hybrid machine learning models in predicting IVF outcomes (%). حسب Uğur Ejder (22683228)

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The list of parameters of the modified data set for machine learning (<i>n</i> = 162). حسب Uğur Ejder (22683228)

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