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Exact(21)
Compared to a Markov cohort model our model allows calculating event probabilities dependent on the history of a modeled individual, which overcomes the classical Markov assumption of "memorylessness" [ 38].
That is not our model – our model is a subscription one, and we do think that's a distinction.
Different from the conventional model, our model is aimed at partitioning an entire service area into multiple service regions or clusters of customers.
Built upon outputs from a state-of-the-art air quality model, our model produces comprehensive risk-based source apportionment results with trivial computational costs.
By integrating a motivational perspective into the technology acceptance model, our model captured both extrinsic (perceived usefulness and ease of use) and intrinsic (perceived enjoyment) motivators for explaining students' intention to use the new learning medium.
Unlike the standard model, our model allows injurers to make second order precaution observable at a cost.
Similar(39)
In comparison to previous interneuron network models, our model was able to generate oscillatory activity with higher coherence over a broad range of frequencies (20-110 Hz).
Compared to the tradition forward-backward diffusion models, our model has the following characteristics and advantages.
With improvements on the precedent models, our model adopts these three issues and brings out the new analytical throughput.
Unlike earlier approach that employed topic models, our model employed editing function and dictionary lookups to specifically account for intentionally misspelled words in phishing emails.
Moreover, compared with other active contours models, our model can keep more accurate overall message of segmented objects for simple and complex images of different modalities.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com