Workflow from data acquisition to automated diagnostics. حسب Bernhard Vennemann (7434353)

الموضوعات:

Valve during diastole with inserts creating an artificial leak. حسب Bernhard Vennemann (7434353)

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Test section including model of the aortic root with BHV and a flow sensor at the ascending aorta. حسب Bernhard Vennemann (7434353)

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Sinusoidal fit to the measurement data. حسب Bernhard Vennemann (7434353)

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The phases of automated BHV monitoring. حسب Bernhard Vennemann (7434353)

الموضوعات:

Baseline one-class SVM model. حسب Bernhard Vennemann (7434353)

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Bar plots of MCI for different AR scenarios. حسب Bernhard Vennemann (7434353)

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Steps of data preprocessing. حسب Bernhard Vennemann (7434353)

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Mild AR scenario measurement overlaid onto the baseline model. حسب Bernhard Vennemann (7434353)

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Overview of algorithm. حسب Takayuki Niizato (162226)

Machine learning algorithm parameters. حسب Namal Rathnayake (15361124)

"…Results of the study showcased that both systems can simulate river flows as a function of catchment rainfalls; however, the Cat gradient Boosting algorithm (CatBoost) has a computational edge over the Adaptive Network Based Fuzzy Inference System (ANFIS). …"

Fuzzy flow rate control scheme. حسب Alisson Assis Cardoso (7861175)

الموضوعات:

Example of the CNF function for off-axis DHM holograms recorded in a non-telecentric configuration. حسب Raul Castañeda (13932971)

Objective function value statistics. حسب Chao Li (145513)

Distribution of FEV1/FVC in pulmonary function tests with discrepant interpretations between the algorithm and the clinicians. حسب Yuh-Chin T. Huang (17867207)

الموضوعات:

Function <i>χ</i>_<i>opt</i> superimposed with the phase-field function indicating the channel geometry. حسب Martina Bukač (20161460)

3D modeling qualities of the AS single-template models built by including DOPE in the objective function of MODELLER. حسب Giacomo Janson (8138517)

Simulation settings of rMAPPO algorithm. حسب Jianbin Zheng (587000)

"…This paper first analyzes the H-beam processing flow and appropriately simplifies it, develops a reinforcement learning environment for multi-agent scheduling, and applies the rMAPPO algorithm to make scheduling decisions. …"

3D modeling qualities of the AM multiple-template models built by including DOPE in the objective function of MODELLER. حسب Giacomo Janson (8138517)

Flow chart of carbon fiber production. حسب Ruyi Dong (9038174)