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Unlike existing feature-based methods, this approach does not rely on any manually designed features.
Different from conventional methods, this approach uses a two-layer structure supervisory planning and operation planning.
Power spectrum analysis: as for area analysis methods, this approach fails for small coverages and non-ideal tips namely.
Compared to other currently available methods, this approach offers improved accuracy and precision for efficient analysis of ACh.
Compared to the common trial-and-error methods, this approach is semi-analytical with feasible guidelines for design and implementation.
However, despite its similarity to the above methods, this approach has to be regarded more as a confidence estimation than as an applicability domain estimation.
Similar(30)
Known among formal statisticians as the Monte Carlo method, this approach takes spectacularly complex phenomena like weather patterns and stock performance and allows their behavior to be approximated, if not determined.
In comparison with the hydrogen treatment method, this approach eliminates the potential influence of hydrogen impurities.
While this is a very accurate method, this approach can be prohibitively time consuming and expensive for hydrocarbon fields.
In contrast to the gPC method, this approach has spectral error convergence for both short and long integration times.
Because 2D-DIGE is a proteomic method, this approach has potential to uncover the as yet unknown biological effects of nanomaterials.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com