Raw data and processed data used in the paper "A predicting model for properties of steel using the industrial big data based on machine learning method
Hardenability is one of the most basic criteria influencing the formulation of the heat treatment pr...
This work aims to evaluate the predictive performance of various Machine Learning algorithms when a...
The latest progress in machine learning (ML) algorithms enabled to predict some steel physical prope...
Raw data and processed data used in the paper "A predicting model for properties of steel using the ...
One of the fields where it is possible to exploit neural networks is predicting the mechanical prope...
This paper presents the results obtained using Machine Learning (ML) algorithms to predict the mecha...
Steel manufacturing is a long and complicated process including refining, casting, and rolling; hund...
This study explores the use of machine learning (ML) as a data-driven approach to estimate hot ducti...
The mechanical properties of the SAPH440 hot rolled steel sheet are mainly controlled to satisfy pro...
This data repository provides the raw and standardized data for machine learning presented in the ar...
The ability to accurately predict the mechanical properties of metals is essential for their correct...
The tempering of low-alloy steels is important for controlling the mechanical properties required fo...
The ability to accurately predict the mechanical properties of metals is essential for their correct...
There is a high need for a big data repository for material compositions and their derived analytics...
The possibility to estimate the Jominy profile of steel based on its chemical composition is of utmo...
Hardenability is one of the most basic criteria influencing the formulation of the heat treatment pr...
This work aims to evaluate the predictive performance of various Machine Learning algorithms when a...
The latest progress in machine learning (ML) algorithms enabled to predict some steel physical prope...
Raw data and processed data used in the paper "A predicting model for properties of steel using the ...
One of the fields where it is possible to exploit neural networks is predicting the mechanical prope...
This paper presents the results obtained using Machine Learning (ML) algorithms to predict the mecha...
Steel manufacturing is a long and complicated process including refining, casting, and rolling; hund...
This study explores the use of machine learning (ML) as a data-driven approach to estimate hot ducti...
The mechanical properties of the SAPH440 hot rolled steel sheet are mainly controlled to satisfy pro...
This data repository provides the raw and standardized data for machine learning presented in the ar...
The ability to accurately predict the mechanical properties of metals is essential for their correct...
The tempering of low-alloy steels is important for controlling the mechanical properties required fo...
The ability to accurately predict the mechanical properties of metals is essential for their correct...
There is a high need for a big data repository for material compositions and their derived analytics...
The possibility to estimate the Jominy profile of steel based on its chemical composition is of utmo...
Hardenability is one of the most basic criteria influencing the formulation of the heat treatment pr...
This work aims to evaluate the predictive performance of various Machine Learning algorithms when a...
The latest progress in machine learning (ML) algorithms enabled to predict some steel physical prope...
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