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Exact(10)
However, supervised, unsupervised, and semi-supervised learning methods need more attention for future research [80].
Still, while the data were insufficient and the methods need more investigation, the concept seems sound to me.
Therefore, it seems that the evidences in the suitability of agile methods and pros and cons of the methods need more research.
Of course there are more advanced methods to analyze textures, like Laws filter [26], or Tamura measures [27], but these methods need more computational time.
These numerical methods need more detailed representation of the power system but they are not suited for online application of stability assessment and control.
Instead, results from the two methods need more careful investigation.
Similar(50)
Although EDI-based methods needed more time than LFI-based methods due to requiring many operations to estimate the edge direction, the EDI-based methods provided high-quality results and the LFI-based methods suffered from jagged edge artifacts in the diagonal edge regions.
This method needs more time to estimate the noise, especially when the noise floor jumps.
The proposed method needs more computing time because of the DER dispatch and model modification processes.
For 30 and 50% noise densities, the proposed method provides slightly higher complexity compared to other methods; however, for 90% noise, the proposed method needs more time since 7 × 7 window is used too often.
The proposed method needs more computing time than previous methods for static load and generation, because of the DER dynamic dispatch and model modification processes, but the load restoration performance of proposed method is much better than that of the conventional methods.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com