Your English writing platform
Discover LudwigExact(12)
Define the candidate user set as (mathcal {U}), i.e., (|mathcal {U}|=M).
Summarily, each candidate user feeds back its CDI (hat {mathbf {h}}_{m}) and CQI f(h m ) to the BS in a predefined manner, e.g., time division order.
While it is important to verify the VIP status of a candidate user, it is unnecessary to precisely identify who the user is.
Therefore, extraction of candidate user actions at each state, and finding the source of a given HTTP request is challenging in RIAs.
In the NOMA-ZFBF system, the quantization codebook is independently generated by each candidate user, so there is no coordination among these quantizers.
In addition, we also show the user rates of the NOMA-ZFBF and NOMA-RBF systems versus the candidate user number in Fig. 3.
Similar(48)
In D-ForenRIA, after a state is discovered, the SR-Proxy assigns to the browser who executed the right action the task of extracting the candidate user-browser actions on the DOM.
SR-Browser considers all input fields (i.e., input/select tags) that have an event-handler attached, and are nested inside a form/div element as candidate user-input actions.
Addressing several challenges for session reconstruction in RIAs including the identification of candidate user-browser interactions, efficient ordering of candidate actions, distributed reconstruction, detection of complex user-input interactions and actions that do not generate any HTTP traffic.
Assume M is large enough, K HR users can be selected from these candidate users.
The reason is that the HR user is always selected from the candidate users in priority.
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