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The arrangement design of a submarine depends on the past design data and experts' experiences.
The method, based on Bayesian theory, incorporates experts' experiences with quantitative identification process.
However, the definition of barriers based on experts experiences limits this method because it seems unrealistic to use static recommendations in real dynamic systems.
In direct consultation with a group of Japanese experts, experiences and preparedness material produced in Japan, such as booklets, videos, and animations, have also been studied.
In this sense, there is a need to accumulate data regarding the past design data, experts' experiences, and design rules as a systematic structure.
The expert system can systematically computerize experts' experiences and knowledge, and can evaluate the feasibility of design alternatives for the arrangement design of the submarine.
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Others are seasoned chemists, biologists and other experts experienced in sampling and modern lab techniques.
This method calculates recommendation trust based on experts' experience.
To get the benefit of the experts' experience, some of them were asked what degree they would pursue today.
The framework presented here introduces a data model and a list of dictionaries built upon community feedback and selected experts' experience.
The Analytical Hierarchy Process (AHP) is one of the efficient methods to analyze the influence of the parameters on a passive system based on the experts' experience.
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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