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To show the performance of each methods in edge patterns and edge junctions, the resulting images are shown in Figures 8 11 that contain fine textures of Kodak 19, 15 and real images, respectively.
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Evaluation criteria 3 - accuracy analysis at a patient-level: To perform a detailed comparison of the relative performance of each method considered, we scrutinized the classification accuracy achieved for each individual patient.
However, the comparative querying performance of each method requires consideration.
The performance of each method improves as the non-linearities in the system become more pronounced.
The performance of each method was assessed based on electrical resistivity (ER) and compressive strength measurements.
The performance of each method was assessed by comparing the fMRI results to the EEG focus.
The performance of each method is quantified and compared based on three norms and the best methods are identified.
To study the performance of each method, we apply these to a North America operational wind farm data set.
To evaluate and compare the probabilistic method with three usual hotspot identification methods described in the Highway Safety Manual, measures are used to test the performance of each method.
The blast loads was simulated using a ConWep blast algorithm and a multi-material ALE formulation with fluid structure interaction to determine the performance of each method.
We investigate the performance of each method separately before testing the complete closed-loop in a benchmark problem based on Namorado field in Campos Basis, Brazil.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com