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A NCPP prototype is built to evaluate the proposed design.
A simulation tool was built to evaluate the design parameters.
Analytic models are built to evaluate these three policies.
First, a virtual model of a TPM-AES hybrid cryptosystem is built to evaluate performance.
A parametric Monte Carlo model was built to evaluate the cost-effectiveness of early diagnosis and intervention in AD [30].
Experiment II is a D-optimal randomized mixture design containing 30 runs, built to evaluate a special cubic model.
An FPGA platform is built to evaluate the cost and compatibility of this fault tolerance design.
An experimental set-up was built to evaluate the conversion efficiency at various temperature ranges.
Structural models were built to evaluate the strength in compression and shearing.
An experimental setup was designed and built to evaluate the system performance under various operation conditions.
Undirected and weighted cortical brain network was built to evaluate graph core measures.
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