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Let us denote a set of CCs in the binarized image as {B i }.
Let A Open image in new window denote a set of all complete chains.
Let denote a set of APs,, where APs are determined with the same achievable throughput, thereby.
Let denote a power allocation, and let denote a set of power partitions.
Let Y denote a set of vectors and denote a family (class) of functions or tuples.
Let ({mathscr {A}}) denote a set of (m in mathbb {N}) symbols called the alphabet.
Let us denote a set of CCs in the dilated image as {C i }.
Let (mathcal {P}) denote a set of objects and (mathcal {F}) a set of facilities.
Let S PRB = { k | 1 ≤ k ≤ N PRB } denote a set of PRBs that can be allocated in a scheduling interval for the downlink transmissions, and S UE denote a set of associated UEs requiring packet scheduling.
We denote a set of IoTMs as ( mathcal{N} ), such that ( mathcal{N}=left{1,2,dots, Nright} ).
We also denote a set of all context events as ({E}_{{C}} = bigcup limits _{i=1}^{n} {E}_{i}).
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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