- There is a clear and distinguishable variance between both theorizings that is largely based on the theoretical-academic world and the implementation.
- This mismatch between both of them is, of course, caused by the fact that some of them are relying on just theoretical or abstract possibilities without applying them viably with real-world applications.
- Some of these researches have been tested and then evaluated using only low-to-mid-range data without exposing them hard on large-range data.
- Close related to this, a considerable fraction of these researches have been originally initiated for only research purposes without being for real-life applications.
For more information of the above points, please refer to:
Article Sea Lion Optimization Algorithm for Solving the Maximum Flow Problem
Could you share with us your valuable opinion?
I agree with your opinion sir. Most times, an "ideal" situation is created in the laboratory with all the perfect conditions aligning with the requirements, which makes the experiment smooth or the theory work. But a lot of external interferences can affect implementation in a real-life scenario.
Sure, it is exactly similar to theoretcal and experimental aspects...
I agree with your opinion sir. Most times, an "ideal" situation is created in the laboratory with all the perfect conditions aligning with the requirements, which makes the experiment smooth or the theory work. But a lot of external interferences can affect implementation in a real-life scenario.
Yes, I agree with you Nidhal Kamel Taha El-Omari
In our field, Computer Engineering, a lot of researchers are working on simulators, and some times the real-world implementation is totally different.
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