Papers citing A predicting model for properties of steel using the industrial big data based on machine learning
Development and Application of Performance Prediction Model for Cold-Rolled Products
Venue not supplied by source · 2019
刘俊友, Bai Xue, Zhang Guoqiang
Read original paper ↗ ·Development of a prediction method of Rayleigh damping coefficients for free layer damping coatings through machine learning algorithms
International Journal of Mechanical Sciences · 2019
İlhan Yılmaz, Ersen Arslan, Eda Çapa Kızıltaş, Kadir Çavdar
Read original paper ↗ ·Tensile property prediction by feature engineering guided machine learning in reduced activation ferritic/martensitic steels
Journal of Nuclear Materials · 2019
Chenchong Wang, Chunguang Shen, Qing Cui, Chi Zhang, Wei Xu
Read original paper ↗ ·Agro Waste A Sustainable Source For Steel Reinforcement-Review
Journal of Physics Conference Series · 2019
Sunday Adeniran Afolalu, Segun Isaac Oladipupo, M Edun Bose, Abiodun A. Abioye, Samuel B. Adejuyigbe, Oluseyi Olanrewaju Ajayi, Samson O. Ongbali
Read original paper ↗ ·A steel property optimization model based on the XGBoost algorithm and improved PSO
Computational Materials Science · 2019
Kai Song, Feng Yan, Ting Ding, Liang Gao, Songbao Lu
Read original paper ↗ ·Elevating Prediction Performance for Mechanical Properties of Hot-Rolled Strips by Using Semi-Supervised Regression and Deep Learning
IEEE Access · 2020
Siwei Wu, Jian Yang, Guangming Cao, Yunlong Qiu, Guoguang Cheng, Meiyi Yao, Jianxin Dong
Read original paper ↗ ·Machine Learning and Big Data Provide Crucial Insight for Future Biomaterials Discovery and Research
Acta Biomaterialia · 2020
Jacob Kerner, Alan B. Dogan, Horst A. von Recum
Read original paper ↗ ·Machine Learning as a Smart Manufacturing Tool
Lecture notes in mechanical engineering · 2020
Meera Kokate, Bhushan Patil, Geetha Subramanian
Read original paper ↗ ·Prediction for Manufacturing Factors in a Steel Plate Rolling Smart Factory Using Data Clustering-Based Machine Learning
IEEE Access · 2020
Cheol Young Park, Jin Woog Kim, Bosung Kim, Joongyoon Lee
Read original paper ↗ ·Prediction of Physical and Mechanical Properties for Metallic Materials Selection Using Big Data and Artificial Neural Networks
IEEE Access · 2020
David Merayo, Álvaro Rodríguez-Prieto, Ana María Camacho
Read original paper ↗ ·Composition-Processing-Property Correlation Mining of Nb–Ti Microalloyed Steel Based on Industrial Data
MATERIALS TRANSACTIONS · 2020
Siwei Wu, Jian Yang, Zhenyu Liu
Read original paper ↗ ·Parametric Investigation of Particle Swarm Optimization to Improve the Performance of the Adaptive Neuro-Fuzzy Inference System in Determining the Buckling Capacity of Circular Opening Steel Beams
Materials · 2020
Quang Hung Nguyen, Hai‐Bang Ly, Tien-Thinh Le, Thuy‐Anh Nguyen, Viet-Hung Phan, Van Quan Tran, Binh Thai Pham
Read original paper ↗ ·Intelligent state of health estimation for lithium-ion battery pack based on big data analysis
Journal of Energy Storage · 2020
Lingjun Song, Keyao Zhang, Tongyi Liang, Xuebing Han, Yingjie Zhang
Read original paper ↗ ·Structured Methodology for Clustering Gas Turbine Transients by Means of Multi-Variate Time Series
Venue not supplied by source · 2020
Enzo Losi, Mauro Venturini, Lucrezia Manservigi, Giuseppe Fabio Ceschini, Giovanni Bechini, Giuseppe Cota, Fabrizio Riguzzi
Read original paper ↗ ·Estimation of Soil Cohesion Using Machine Learning Method: A Random Forest Approach
Advances in Civil Engineering · 2021
Hai‐Bang Ly, Thuy‐Anh Nguyen, Binh Thai Pham
Read original paper ↗ ·Machine learning-guided design and development of metallic structural materials
Journal of Materials Informatics · 2021
Jinxin Yu, Shengkun Xi, Shaobin Pan, Yongjie Wang, Qinghua Peng, Rongpei Shi, Cuiping Wang, Xingjun Liu
Read original paper ↗ ·Reducing Crop Length of Rolling Material Using Predictive Model Analysis
Journal of Materials Engineering and Performance · 2021
Hyungjin Kim, Dong‐Hwan Kim
Read original paper ↗ ·Structured Methodology for Clustering Gas Turbine Transients by Means of Multivariate Time Series
Journal of Engineering for Gas Turbines and Power · 2021
Enzo Losi, Mauro Venturini, Lucrezia Manservigi, Giuseppe Fabio Ceschini, Giovanni Bechini, Giuseppe Cota, Fabrizio Riguzzi
Read original paper ↗ ·Optimization of Dephosphorization Parameter in Consteel Electric Arc Furnace Using Rule Set Model
steel research international · 2021
Chao Chen, Nan Wang, Min Chen
Read original paper ↗ ·Prediction of Mechanical Properties of Wrought Aluminium Alloys Using Feature Engineering Assisted Machine Learning Approach
Metallurgical and Materials Transactions A · 2021
Mingwei Hu, Qiyang Tan, Ruth Knibbe, Sen Wang, Xue Li, Tianqi Wu, Sams Jarin, Mingxing Zhang
Read original paper ↗ ·Prediction of the Charpy V-notch impact energy of low carbon steel using a shallow neural network and deep learning
International Journal of Minerals Metallurgy and Materials · 2021
Siwei Wu, Jian Yang, Guangming Cao
Read original paper ↗ ·The Steelmaking Process Parameter Optimization with a Surrogate Model Based on Convolutional Neural Networks and the Firefly Algorithm
Applied Sciences · 2021
Ming‐Huwi Horng, Yung-Chun Liu, Yung-Nien Sun, Yang Yung-Yi, Jian-Han Hsu, Yen-Ting Chen, Yung‐Nien Sun, Yu-Hsuan Tsai
Read original paper ↗ ·Experimental Research on the Performance of High-Temperature Bearing Steel Cr4Mo4 V
Recent Patents on Mechanical Engineering · 2021
Zenan Chu, Qiang He
Read original paper ↗ ·Accelerated discovery of high-performance Cu-Ni-Co-Si alloys through machine learning
Materials & Design · 2021
Shaobin Pan, Yongjie Wang, Jinxin Yu, Mujin Yang, Yanqing Zhang, Haiting Wei, Yuechao Chen, Junwei Wu, Jiajia Han, Cuiping Wang, Xingjun Liu
Read original paper ↗ ·Machine Learning Model for Thickness Evolution of Oxide Scale During Hot Strip Rolling of Steels
Metallurgical and Materials Transactions A · 2021
Chunyuan Cui, Hao Wang, Xinyu Gao, Guangming Cao, Zhenyu Liu
Read original paper ↗ ·Machine Learning Applications in Biofuels’ Life Cycle: Soil, Feedstock, Production, Consumption, and Emissions
Energies · 2021
Iftikhar Ahmad, Manabu Kano, Brenno C. Menezes, Izzat Iqbal Cheema, Adil Sana, Junaid Shahzad, Zahid Ullah, Muzammil Khan, Asad Habib
Read original paper ↗ ·Development of an Integrated Flow Stress and Roll Force Models for Plate Rolling of Microalloyed Steel
steel research international · 2021
Suman Kant Thakur, Alok Kumar Das, Bimal Kumar Jha
Read original paper ↗ ·A model for predicting silica concentrate concertration based on Bayesian-LGC
Venue not supplied by source · 2021
Quanjiang Zhang, Xin Su, Zhiqiang Ouyang, Wenyi Nie, Xingang Liu
Read original paper ↗ ·Analysis of Soft Computing Techniques to Forecast Mechanical Attributes of an Alloy
Lecture notes in electrical engineering · 2021
N. Sandhya, Mummalaneni Rajasekar, V. Sowmya
Read original paper ↗ ·Big Data in Forecasting Research: A Literature Review
Big Data Research · 2021
Ling Tang, Jieyi Li, Hongchuan Du, Ling Li, Jun Wu, Shouyang Wang
Read original paper ↗ ·Explainable artificial intelligence: a comprehensive review
Artificial Intelligence Review · 2021
Dang Lien Minh, Hanxiang Wang, Yanfen Li, Tan Nhat Nguyen
Read original paper ↗ ·Machine Learning Applications for The Tensile Property Evaluation of Steel: An Overview
Springer eBooks · 2021
Hridayjit Kalita, Kaushik Kumar, João Paulo Davim
Read original paper ↗ ·Method for Predicting Compound Properties in Drug Development Based on Machine Learning
Venue not supplied by source · 2021
Fang Yuan, Yu Shi, Linjuan Dong, Meng Wang
Read original paper ↗ ·Explainable Steel Quality Prediction System Based on Gradient Boosting Decision Trees
IEEE Access · 2022
Janne Takalo-Mattila, Mikko Heiskanen, Vesa Kyllönen, Leena Maatta, Agne Bogdanoff
Read original paper ↗ ·Machine Learning Applications for The Tensile Property Evaluation of Steel: An Overview
Springer eBooks · 2022
Hridayjit Kalita, Kaushik Kumar, João Paulo Davim
Read original paper ↗ ·Mechanical properties prediction of dual phase steels using machine learning
Tecnologia em Metalurgia Materiais e Mineração · 2022
Tairine Berbert Tavares, Felipe Pereira Finamor, Julio Cezar de Sousa Zorzi
Read original paper ↗ ·Microstructure Generating Algorithm for Martensitic Alloys: Application to High-Strength Steels
SSRN Electronic Journal · 2022
Khaled H. Khafagy, Tarek Moustafa Hatem
Read original paper ↗ ·Review on Data-driven Method for Property Prediction of Iron and Steel Wear-resistant Materials
Journal of Mechanical Engineering · 2022
Yuan Liu, WEI Shizhong
Read original paper ↗ ·A comparison of machine learning- and regression-based models for predicting ductility ratio of RC beam-column joints
Structures · 2022
Hamed Dabiri, Khashayar Rahimzadeh, Ali Kheyroddin
Read original paper ↗ ·Imputation Method Based on Collaborative Filtering and Clustering for the Missing Data of the Squeeze Casting Process Parameters
Integrating materials and manufacturing innovation · 2022
Jianxin Deng, Zhixing Ye, Lubao Shan, Dongdong You, Guangming Liu
Read original paper ↗ ·Endpoint Phosphorus Content Prediction in BOF Steelmaking Using PCA-Based Support Vector Regression
Iron & Steel Technology · 2022
Sankha Mukherjee, Sandip Barui, Kinnor Chattopadhyay
Read original paper ↗ ·Using machine-learning to understand complex microstructural effects on the mechanical behavior of Ti-6Al-4V alloys
Computational Materials Science · 2022
Cameron McElfresh, Collin Roberts, Sicong He, Sergey V. Prikhodko, Jaime Marian
Read original paper ↗ ·Physical Metallurgy Guided Industrial Big Data Analysis System with Data Classification and Property Prediction
steel research international · 2022
Huwei Li, Yong Li, Jian Huang, Chunguang Shen, Chenchong Wang, Tao Jing, Zhipu Liu, Wei Xu
Read original paper ↗ ·Digital Twin-Enabled Production Optimization for Steel Industry
IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD) · 2022
Gongzhuang Peng, Yinliang Cheng, Xuejun Zhang, Dong Ying Xu, Sheng-Long Jiang
Read original paper ↗ ·Artificial intelligence and smart vision for building and construction 4.0: Machine and deep learning methods and applications
Automation in Construction · 2022
Shanaka Kristombu Baduge, Sadeep Thilakarathna, Jude Shalitha Perera, Mehrdad Arashpour, Pezhman Sharafi, Bertrand Teodosio, Ankit Shringi, Priyan A. Mendis
Read original paper ↗ ·Data-Driven Construction Method of Material Mechanical Behavior Model
Metals · 2022
Qu Meijiao, Mengqi Li, Zhichao Wen, Weifeng He
Read original paper ↗ ·On necessity of taking into account statistical nature of the objects using Big Data in metallurgy
CIS Iron and Steel Review · 2022
Кудря Александр Викторович, Соколовская Элина Александровна, D. F. Kodirov, E. V. Bosov, G. V. Kotishevskiy
Read original paper ↗ ·Prediction Model for Vanadium Content in Vanadium and Titanium Blast Furnace Smelting Iron Based on Big Data Mining
ISIJ International · 2022
Hongwei Li, Xiaojie Liu, Xin Li, Hongyang Li, Xiangping Bu, Shujun Chen, Qing Lyu
Read original paper ↗ ·Artificial Intelligence, Machine Learning, and Deep Learning in Structural Engineering: A Scientometrics Review of Trends and Best Practices
Archives of Computational Methods in Engineering · 2022
Arash Teymori Gharah Tapeh, Mohannad Zeyad Naser
Read original paper ↗ ·Deep Neural Network Prediction Model of Hydrogen Content in VOD Process Based on Small Sample Dataset
Metallurgical and Materials Transactions B · 2022
Wenjie Yang, Lijun Wang, Wei Zhang, Jianmin Li
Read original paper ↗ ·