Suggestions(5)
Exact(47)
Vector quantization (VQ) is a well-known data compression technique.
The most well-known data hiding scheme is the least significant bits (LSBs) substitution method.
We compare our scheme with other existing well-known data hiding methods.
This involves using the well-known data base compiled by OECD and Eurostat.
Second, well-known data are presented about the reliability and validity of intelligence measures.
Experiments on some well-known data sets are used to evaluate the performance of our approach.
Similar(13)
This chapter discusses implementations of some well-known data-parallel algorithms.
In this article, several well-known data-driven causality methods are revisited and comparatively evaluated.
We use matrix multiplication, LU decomposition, and Cholesky factorization as the test applications, which are well-known data-intensive mathematical algorithms in various fields.
MR offers a compelling alternative for running tasks in a massively parallel way and it is successfully used by many well-known data-driven operations [ 16] to process huge datasets with sizes of up to terabytes [ 17] and even petabytes [ 18].
The solution is based on LEACH by Heinzelman et al.; a well known data aggregation technique for wireless sensor networks.
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