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Artificial Intelligence-based back-calculation model for scrap compiling optimization

delete2026-01-15
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OA
AI
M
Michael Schäfer *
U
Ulrike Faltings
B
Björn Glaser
DOI:10.1016/j.engappai.2026.113809delete
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Abstract

Abstract

En 中文
• A new approach to estimate chemical content of the material used from process data. • A novel approach to better control production processes. • A new way of using SHAP and machine learning models. • A novel way for calculating feature contributions using SHAP.
Keywords:
Artificial intelligence
SHapley additive exPlanation
Feature attribution
Steel scrap
Steel recycling
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Journal

Engineering Applications of Artificial Intelligence cover
Engineering Applications of Artificial Intelligence
IF:
8
Papers:
5.3K
Citations:
3.5W

Organization

S
stahl-holding-saar gmbh & co. kgaa
Scholars:
1
Papers: 1
Citations: 0
K
kth royal institute of technology
Scholars:
780
Papers: 433
Citations: 0