Skip to main navigation Skip to search Skip to main content

Developing a deep learning-based uncertainty-aware tool wear prediction method using smartphone sensors for the turning process of Ti-6Al-4V

  • Gyeongho Kim
  • , Sang Min Yang
  • , Dong Min Kim
  • , Jae Gyeong Choi
  • , Sunghoon Lim
  • , Hyung Wook Park
  • Ulsan National Institute of Science and Technology
  • Korea Institute of Industrial Technology

Research output: Contribution to journal › Article › peer-review

36 Scopus citations

Fingerprint

Dive into the research topics of 'Developing a deep learning-based uncertainty-aware tool wear prediction method using smartphone sensors for the turning process of Ti-6Al-4V'. Together they form a unique fingerprint.
Sort by

Engineering

Computer Science

Material Science

Chemical Engineering