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In this observation, each block including the prediction residuals is tested with random transmission errors propagated from its prediction blocks.
To cover various error propagation, each block is tested with random transmission errors propagated from prediction block and concealment block, respectively.
Subsequently, they are tested with random sequences to determine whether they increase the response time in the random-sequence condition compared with the trained condition.
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Finally the DEVS model has been tested with a random convective internal-load signal.
The control policy was also tested with a random signal at different input magnitudes.
The models were tested with both random code and real world applications in order to determine which of the two achieves higher coverage.
The designed mechanism is tested with various random network scenarios using different traffic including CBR, Exponential and TCP in both scenarios (stationary and mobile with high speed) for single as well as multi-hop.
These algorithms are tested with two random matrix ensembles: (bullet mathcal {N}): Gaussian matrices with entries drawn i.i.d.i.d
Like ERA, the Texas programme was tested with a random assignment design, and both the programme and control groups received pre-employment services, such as those offered by the New Deal programme.
For the entire training period they were tested with variable random start positions.
The validity of the equations was tested with a random sub-sample of mass and forearm data not used for equation development.
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