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Exact(17)
The second drawback is that the investment – even assuming it happens – will take time to arrive.
The second drawback is the demand for a perfect rock/platen contact.
The second drawback is on the computational side.
The second drawback is instead related to computational performance.
The second drawback is the use of a radial symmetric kernel.
The second drawback is that the estimation of the covariance matrix requires the storage and processing of the secondary data.
Similar(42)
The first drawback is that it is difficult to simultaneously deal with several pairs of ontologies, i.e. finding a universal weight configuration that can be used for different ontology pairs without adjustment.
The first drawback is difficult to select an optimal solvent which can dissolve both polymer and β-CD with proper concentration.
The first drawback is that the model does not provide a method by which the reliability of the entire WSN deployment can be evaluated in terms of the reliability of its regions.
The first drawback is that producing manual segmentations or semi-automatic segmentations is extremely time-consuming, with higher accuracies on more finely detailed volumes demanding increased time from medical experts.
The first drawback is a tradeoff between resolution and the noise level of the data.
More suggestions(15)
the other drawback is
the second downside is
the latter drawback is
the first drawback is
the second defect is
the second problem is
the second shortcoming is
the second failing is
the main drawback is
the second pillar is
the second reason is
the second impact is
the second demon is
the second trend is
the second second is
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com