"Traditional machine learning and deep learning for predicting melt-pool ..."

Haijie Wang et al. (2025)

> Home

Details and statistics

DOI: 10.1007/S10845-024-02356-9

access: closed

type: Journal Article

metadata version: 2025-07-04

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/jim/WangLZX25
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jim/WangLZX25
Haijie Wang, Bo Li, Saifan Zhang, Fuzhen Xuan:
Traditional machine learning and deep learning for predicting melt-pool cross-sectional morphology of laser powder bed fusion additive manufacturing with thermographic monitoring. J. Intell. Manuf. 36(3): 2079-2104 (2025)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.