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The classification algorithm is validated using leave-one-out cross-validation on videos captured from 124 neonates.
Algorithm is validated using MATLAB/SIMULINK environment.
Our algorithm is validated using all records of MIT-BIH arrhythmia database.
The algorithm is validated using network simulations under different condition using different technologies.
The proposed algorithm is validated using real-time experiments on a nonminimum phase spring-mass-damper system.
The proposed algorithm is validated using examples, and the normal vector deviation along the boundary curve is investigated.
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The algorithm was validated using mosaics of real color textures.
The developed algorithm was validated using computer generated temperatures in addition to actual experimental temperatures data.
The effectiveness and practicability of the DBSC algorithm are validated using both simulated and real spatial datasets.
The localisation algorithm was validated using simulation of the robotic platform and using visual odometry based on real field video data.
In the first step the algorithm was validated using a set of synthetic SDLSV curves generated for the Cd II)/In III) system and the results obtained were compared with those achieved by the simple genetic algorithm.
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