Suggestions(1)
Exact(60)
First we describe our proposed noise cancellation algorithm (Section 2).
The 'Proposed electromagnetism algorithm' section introduces the proposed metaheuristic.
In "Candidate elimination algorithm" section, the candidate elimination algorithm is introduced.
More details about this algorithm can be found in the "Sentiment analysis algorithm" section.
The original Attractor algorithm has been optimized by the method explained in "Algorithm" section.
'A randomized algorithm' section presents an approximation algorithm for general EISE.
In the "Algorithm" section, the specificities of the algorithm and sub-algorithms are discussed.
This process is based on the results of the JSEG algorithm (Section 3.3).
Second, we provide an algorithm for our model transformation technique (in "Model refinement algorithm" section).
The transformation problem is addressed and transformation equations are derived in algorithm section.
"Adaptive-Miner algorithm" section has detailed description of the Adaptive-Miner algorithm proposed in this paper.
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