Assessing Whole-Body Vibrations in an Agricultural Tractor Based on Selected Operational Parameters: A Machine Learning-Based Approach

Assessing Whole-Body Vibrations in an Agricultural Tractor Based on Selected Operational Parameters: A Machine Learning-Based Approach is a research paper that explores the use of machine learning techniques to predict whole-body vibrations experienced by a tractor operator along the x, y, and z axes.

I was responsible for the machine learning component of the study, including dataset exploration, data cleaning, model selection and evaluation, as well as writing the corresponding sections of the paper.

You can read the full paper here.