Journalartikel - Wissenschaftlicher Artikel | 2026 | aktuell nicht Peer reviewed

Multiclass Defect Classification from Legacy Foundry Data: A Decision Support System for Manual Inspection Time Reduction

Autor*innen

Denker, Joachim ; Al-Shrouf, Loui ; Jelali, Mohieddine

Zeitschrift

Agritechnica-Trader

DOI

10.20944/preprints202607.1269.v1

Weitere Details

Sprache

englisch

Darstellungsform

Text

Schlüsselwörter

Preprint , SMOTE , decision fusion , ensemble learning , foundry defects , inspection time reduction , multiclass defect classification

Zitierstile

Denker, J., Al-Shrouf, L., & Jelali, M. (2026). Multiclass Defect Classification from Legacy Foundry Data: A Decision Support System for Manual Inspection Time Reduction. Agritechnica-Trader. doi:10.20944/preprints202607.1269.v1

In die Zwischenablage kopieren

Denker, J., Al-Shrouf, L. and Jelali, M., 2026. Multiclass Defect Classification from Legacy Foundry Data: A Decision Support System for Manual Inspection Time Reduction. Agritechnica-Trader.

In die Zwischenablage kopieren

Denker, Joachim, Al-Shrouf, Loui & Jelali, Mohieddine 2026. Multiclass Defect Classification from Legacy Foundry Data: A Decision Support System for Manual Inspection Time Reduction. Agritechnica-Trader .

In die Zwischenablage kopieren

Download
RDF/XML-Format
JSON-LD-Format
Turtle-Format
N3-Format

Zitierstile

In die Zwischenablage kopieren

Denker, J., Al-Shrouf, L. and Jelali, M., 2026. Multiclass Defect Classification from Legacy Foundry Data: A Decision Support System for Manual Inspection Time Reduction. Agritechnica-Trader.

In die Zwischenablage kopieren

Download
RDF/XML-Format
JSON-LD-Format
Turtle-Format
N3-Format

American Psychological Association 6th edition (DOI)

Anglia Ruskin University - Harvard

Gesellschaft für Bildung und Forschung in Europa - Harvard