A Review into Data Science and Its Approaches in Mechanical Engineering
Zadeh, Ashkan Yousefi, Shahbazy, Meysam
–arXiv.org Artificial Intelligence
Nowadays it is inevitable to use intelligent systems to improve the performance and optimization of different components of devices or factories. Furthermore, it's so essential to have appropriate predictions to make better decisions in businesses, medical studies, and engineering studies, etc. One of the newest and most widely used of these methods is a field called'Data Science' that all of the scientists, engineers, and factories need to learn and use them in their careers. This article briefly introduced data science and reviewed its methods, especially it's usages in mechanical engineering and challenges and ways of developing data science in mechanical engineering. In the introduction, different definitions of data science and its background in technology reviewed. In the following, data science methodology which is the process that a data scientist needs to do in its works been discussed. Further, some researches in mechanical engineering area that used data science methods in their studies, are reviewed. Eventually, it has been discussed according to the subjects that have been reviewed in the article, why it is necessary to use data science in mechanical engineering researches and projects.
arXiv.org Artificial Intelligence
Dec-30-2020
- Country:
- Europe > Denmark > Capital Region > Copenhagen (0.04)
- Genre:
- Research Report (0.65)
- Industry:
- Energy (0.47)
- Technology:
- Information Technology
- Data Science > Data Mining (1.00)
- Artificial Intelligence
- Robots (1.00)
- Machine Learning > Statistical Learning (1.00)
- Representation & Reasoning (0.96)
- Information Technology