Your English writing platform
Discover LudwigSuggestions(5)
Exact(60)
These percentages are quite high due to the data construction.
The first challenge is how to reduce information loss due to the data abstraction (or summarization) operations.
As a result, the spectral efficiency of the FDSTC protocol can be reduced due to the data exchange between relays.
Due to the data of the first half of a year in 2010 has not yet been released by CMA.
The amount of information is reduced due to the data aggregation done at the cluster head node.
In addition, it is hard to learn a high-order Markov model due to the data sparsity problem.
This storage and distribution step requires significant time and resources and may not even be possible in an online/distance learning scenario due to the data sizes involved.
The partitional clustering algorithm k-means (setting k = 2 due to the data partition at the non-terminal node into two subsets) is the appropriate method.
Several q-QAM symbols have identical value due to the data sparseness and can be placed at specific positions at the input of the IFFT.
DE may thus pose different or more severe privacy risks due to the data types taken into consideration, which describes individuals rather than populations.
Due to the data storage pressure and the devices' communication capability, the data collection of trajectories is always in sparse granularity.
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