Network simulation of the proposed method. حسب Nanavath Kiran Singh Nayak (22184565)

Simulation parameters of SDN network. حسب Nanavath Kiran Singh Nayak (22184565)

Simulation parameters of DDcGAN. حسب Nanavath Kiran Singh Nayak (22184565)

Reproducing kernel-based semiparametric functional smoothed score estimation with binary responses حسب Meichen Liu (8168148)

S1 Data - حسب Amila Jayasinghe (14573493)

Calibration curves for the test set of four models. حسب Meng Cao (105914)

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SHAP bar plot. حسب Meng Cao (105914)

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ROC curves for the test set of four models. حسب Meng Cao (105914)

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Display of the web prediction interface. حسب Meng Cao (105914)

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Sample screening flowchart. حسب Meng Cao (105914)

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Descriptive statistics for variables. حسب Meng Cao (105914)

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SHAP summary plot. حسب Meng Cao (105914)

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Performance metrics of the models on the training and test set. حسب Meng Cao (105914)

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<i>hi</i>PRS algorithm process flow. حسب Michela C. Massi (14599915)

Validation results based on training data. حسب Amila Jayasinghe (14573493)

Random forest model performs better than support vector machine algorithms and when it primarily uses spontaneous photopic ERG of 60-s duration in humans. حسب Ramsés Noguez Imm (6658637)

Multicategory Angle-Based Learning for Estimating Optimal Dynamic Treatment Regimes With Censored Data حسب Fei Xue (24567)

"…In this article, we develop a novel angle-based approach to search the optimal DTR under a multicategory treatment framework for survival data. …"

A priority based energy harvesting scheme for charging embedded sensor nodes in wireless body area networks حسب Md Khurram Monir Rabby (6619442)

"…Therefore, the proposed wireless charging algorithm for implanted SNs in WBAN is designed as per carrier sense multiple access with collision avoidance (CSMA/CA) technique. …"

Spontaneous ERG-based random forest model discriminates control and disease cases in rodent models of obesity and type 1 diabetes and predicts disease evolution in the type 1 diabe... حسب Ramsés Noguez Imm (6658637)

Data used to drive the Double Layer Carbon Model in the Qinling Mountains. حسب Huiwen Li (17705280)

"…It relies on comprehensive input data, including initial SOC stocks, climate data, and vegetation production to drive these simulations.…"