Publications by authors named "Ji-Hun Ha"
Improved Correction of Atmospheric Pressure Data Obtained by Smartphones through Machine Learning.
Comput Intell Neurosci
February 2017
Article Synopsis
- A new correction method using machine learning enhances traditional linear regression (LR) for adjusting smartphone atmospheric pressure data.
- The study classifies data collected in Gyeonggi-do, South Korea, based on time of day, day of the week, and user mobility before applying expectation-maximization (EM) clustering.
- Results indicate significant improvements in accuracy, with machine learning methods achieving up to 31% lower mean absolute error (MAE) compared to conventional LR.