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Exact(33)
The concept disambiguation algorithm is evaluated using crowdsourcing.
Performance of the algorithm is evaluated using simulations in OPNET environment.
The algorithm is evaluated using 487 sample points that are measured by researchers.
The proposed algorithm is evaluated using real-world maps and data.
The performance of the algorithm is evaluated using results of the mathematical model.
The algorithm is evaluated using simulation performed with PSCAD/EMTDC and MATLAB.
Similar(27)
The proposed algorithm was evaluated using the FERET database.
The cost, image quality, and versatility of the algorithm are evaluated using data from 3D medical imaging applications.
The algorithm was evaluated using simulated phantom, physical phantom and pre-clinical EPRI data.
The effectiveness of the proposed model and algorithm are evaluated using a real-world data set.
The segmentation algorithm was evaluated using 10 clinical datasets (aligned MR and CT pairs).
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