Design of an interactive application for the analysis of impact factors in mechanical life cycle tests based on machine learning techniques

J. Portela

June 2021 - September 2021

Funding entity Inesco Ingenieros S.L

The objective of the project is the design of an interactive tool based on Shiny software that allows the analysis of data from different mechanical tests to determine the factors that significantly affect the useful life. The tool allows statistical studies and modeling with machine learning techniques.

Research topics:
• Data analytics

2022-INESCO