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The SFA method assumes an abundance of labeled source data and a limited amount of labeled target data.
The CC method assumes an ideal sound propagation model which makes it suitable for low-noise and reverberant-free outdoor environments.
The stochastic mapping method assumes an evolutionary model.
Thirdly, the cross-referencing method assumes an approximation that the difference in the geometric factor function h (z ) in the test and reference phantom is negligible.
The dual time point method assumes an increase in SUV uptake is indicative of malignancy but one needs to consider that the measurement of SUV in moving lesions is less accurate [ 5, 9, 11, 12].
The method assumes an infinite-site model without recombination and, therefore, haplotypes and sites that violate these assumptions need to be removed: in this case, only 2 single segregating sites had to be removed.
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The method assumes a turnout of approximately 50percenttomorrowow.
The first method assumes a simple adaption of the mass flow rate within the ORC (mass flow method).
The method assumes a constant rate of momentum change within the diffuser passage of a supersonic jet-pump.
The proposed method assumes a priori knowledge of few nonlinear features based on the design and quasi-static characterization.
One problem is that the method assumes a good understanding of the structure of the network, something that is not always easy to get for large, real-world networks.
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