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Each rttij in the matrix RTT, represents the expectations of the round trip time between the device in network i and cloud resource j, and it takes a weighted average of the history data RTTij, as shown in formula (5).
Each vij in the matrix V, represents the expectations of the data transmission rate between the device in network i and cloud resource j, and it takes a weighted average of the history data Vij, as shown in formula (4).
Each ekj in the matrix E, represents the expectations of server time for service k execution on cloud resource j, and it takes a weighted average of the history data Ekj, as shown in formula (10).
Similar(57)
IPknot predicts a pseudoknotted secondary structure that maximizes the approximate expected gain function (3), which represents the expectation of the (weighted) number of true predictions of base pairs under a given probability distribution.
The horizontal line represents the expectation that all emissions caps are equally likely in the future.
It represents the expectation of damage in the case of a single flood occurrence, which is estimated by integrating a physical-based approach as a Total Runoff Integrating Pathways (TRIP) model with Gumbel distribution metrics.
E represents the expectation.
(mathbb E{bullet }) represents the expectation operator.
where E represents the expectation operation.
Finally, ({mathbb E}{cdot }) represents the expectation operator.
Symbol E represents the expectation with respect to all random variables within the brackets.
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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