A Study on Memory Compression Techniques Based on Data Patterns Using Machine Learning
This study proposes an efficient memory compression technique based on data patterns using machine learning. Using the method suggested in the study, a random number and one image of the SciPy library were targeted. As a result of the experiment, you can see that the total entropy of the output data decreases compared to the input data.
