Machine learning in continuous casting of steel: A state-of-the-art survey

D Cemernek, S Cemernek, H Gursch… - Journal of Intelligent …, 2022 - Springer
Continuous casting is the most important route for the production of steel today. Due to the
physical, mechanical, and chemical components involved in the production, continuous …

A random forest based machine learning approach for mild steel defect diagnosis

SV Patel, VN Jokhakar - 2016 IEEE international conference on …, 2016 - ieeexplore.ieee.org
Industries today need to stay ahead in competition by servicing and satisfying customer's
needs. Quality of the produced products to match as per customer demands is the key goal …

[PDF][PDF] ASurvey ON DATA MINING IN STEEL INDUSTRIES

S Umeshini, C PSumathi - International Journal of Computer …, 2017 - researchgate.net
In Industrial environments, huge amount of data is being generated which in turn collected
indatabase anddata warehouses from all involved areas such as planning, process design …

Hybrid Associative Classification Model for Mild Steel Defect Analysis

VN Jokhakar, SV Patel - Intelligent Systems Technologies and …, 2016 - Springer
Quality of the steel coil manufactured in a steel plant is influenced by several parameters
during the manufacturing process. Coiling temperature deviation defect is one of the major …

[PDF][PDF] LAB MANUAL BE (2019 COURSE)(1ST semester) Prepared By

MAK SALVE - researchgate.net
Data Analytics Laboratory (402046) LAB MANUAL BE(2019 COURSE) ( 1ST semester)
Prepared By: Page 1 Data Analytics Laboratory- BE Mechanical Mechanical Engg.Dept-GES's …

[PDF][PDF] Integrated Approach for Human Understandable Steel Fault Diagnosis

VN Jokhakar - academia.edu
Businesses today need to look to have least faults in the products produced to remain
forward in respective field. Customer provides requirements for the products by providing …