default author photo

Song Yang

University of Strathclyde

16 Richmond Street

Glasgow 1XQ, G1 1XQ

United Kingdom

  • University of Strathclyde

SCHOLARLY PAPERS

1

DOWNLOADS

13

TOTAL CITATIONS

0

Scholarly Papers (1)

Actions:
Email selected abstracts
1.

An Event-Anchored Machine Learning based New Approach for Robust Real-Time Quality Prediction in Cyclic Manufacturing

Number of pages: 22 Posted: 26 Feb 2026
Manaf Al-Ahmad, Yi Qin, Song Yang, Nikos Mekras, Robert Smith, Costas A. Charitidis and Kate Trompeta
University of Strathclyde, University of Strathclyde, University of Strathclyde, National Technical University of Athens, University of Glasgow, National Technical University of Athens - RNANO Lab—Research Unit of Advanced, Composite, Nano Materials & Nanotechnology and National Technical University of Athens
Downloads 13 (1,518,554)

Abstract:

Loading...

Event-anchored features, Injection moulding, Cavity pressure peak, Feature-based machine learning, Real-time quality prediction, Cyclic manufacturing processes