Skip to main navigation
Skip to search
Skip to main content
New Jersey Institute of Technology Home
Help & FAQ
Home
Profiles
Research units
Facilities
Federal Grants
Research output
Press/Media
Search by expertise, name or affiliation
Data-driven Surplus Material Prediction in Steel Coil Production
Ziyan Zhao
, Xiaoyue Yong
, Shixin Liu
,
Mengchu Zhou
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
13
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Data-driven Surplus Material Prediction in Steel Coil Production'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Material Prediction
100%
Steel Coil
100%
Prediction Model
66%
Production Process
66%
Production Parameters
66%
Statistical Analysis
33%
Machine Learning Techniques
33%
Operating Cost
33%
Data Cleaning
33%
Logistic Regression Method
33%
Logistic Regression
33%
Prediction Problems
33%
Feature Selection Methods
33%
Selected Features
33%
Industrial Datasets
33%
Result Prediction
33%
Regression Function
33%
Extreme Gradient Boosting Regression
33%
Steel Products
33%
Steel Enterprise
33%
Engineering
Experimental Result
100%
Operational Cost
100%
Machine Learning Method
100%
Feature Extraction
100%
Steel Product
100%
Selection Method
100%
Regression Function
100%
Prediction Problem
100%
Material Science
Steel Product
100%