Variations of loss functions versus epoch number. حسب Xueliang Guo (4797057)

S1 File - حسب Yuh-Chin T. Huang (17867207)

"…In this study, we developed a computerized algorithm using the python package (pdfplumber) and validated against clinicians’ interpretation. …"

S1 Dataset - حسب Yuh-Chin T. Huang (17867207)

"…In this study, we developed a computerized algorithm using the python package (pdfplumber) and validated against clinicians’ interpretation. …"

Optimum feature set for classification using both core and margin information utilizing GLCM, GRLM, and GLSZM texture methods and SVM-RBF classification algorithm. حسب Laurentius O. Osapoetra (9931759)

The effect of different loss functions on our model. حسب Yiyang Shi (16929122)

Available functions in the utility package. حسب Raul Castañeda (13932971)

Main parameters of braking system. حسب Honglei Pang (22693724)

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EMB and SBW system structure. حسب Honglei Pang (22693724)

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Raw data. حسب Honglei Pang (22693724)

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Code program. حسب Honglei Pang (22693724)

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The HIL simulation data flowchart. حسب Honglei Pang (22693724)

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Steering system model. حسب Honglei Pang (22693724)

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Hyperparameter Configurations in PPO Training. حسب Honglei Pang (22693724)

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Main parameters of steering system. حسب Honglei Pang (22693724)

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Co-simulation architecture. حسب Honglei Pang (22693724)

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Overall framework diagram of the study. حسب Honglei Pang (22693724)

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Braking system model. حسب Honglei Pang (22693724)

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Vehicle parameters. حسب Honglei Pang (22693724)

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Convergence graphs of CEC2014 F1-F15 benchmark functions with 50 variable. حسب Yang Cao (53545)

A comparison between the static Python-based visualizations of the p65 activity in activated fibroblasts and the dynamic, HTML-based visualizations that use these same reduction me... حسب Hector Torres (11708207)