Data-mining and atmospheric corrosion resistance evaluation of Sn- and Sb-additional low alloy steel based on big data technology
出版年份 2022 全文链接
标题
Data-mining and atmospheric corrosion resistance evaluation of Sn- and Sb-additional low alloy steel based on big data technology
作者
关键词
-
出版物
International Journal of Minerals Metallurgy and Materials
Volume 29, Issue 4, Pages 825-835
出版商
Springer Science and Business Media LLC
发表日期
2022-04-07
DOI
10.1007/s12613-022-2457-9
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- Prediction of environmental missing data time series by Support Vector Machine Regression and Correlation Dimension estimation
- (2022) Francesco Camastra et al. ENVIRONMENTAL MODELLING & SOFTWARE
- PIANO: A fast parallel iterative algorithm for multinomial and sparse multinomial logistic regression
- (2022) Jyothi R et al. SIGNAL PROCESSING
- Using decision tree to select forecasting algorithms in distinct electricity consumption context of an office building
- (2022) D. Ramos et al. Energy Reports
- Compressive strength prediction of basalt fiber reinforced concrete via random forest algorithm
- (2022) Hong Li et al. Materials Today Communications
- Corrosion behavior of cold-rolled and post heat-treated 316L stainless steel in 0.9wt% NaCl solution
- (2021) K. Bin Tayyab et al. International Journal of Minerals Metallurgy and Materials
- Effect of nanosized NbC precipitates on hydrogen-induced cracking of high-strength low-alloy steel
- (2021) En-dian Fan et al. International Journal of Minerals Metallurgy and Materials
- A study of rust layer of low alloy structural steel containing 0.1% Sb in atmospheric environment of the Yellow Sea in China
- (2021) Ying Yang et al. CORROSION SCIENCE
- Effect of microstructure on corrosion behavior of high strength martensite steel—A literature review
- (2021) Li Wang et al. International Journal of Minerals Metallurgy and Materials
- Multistage MR-CART: Multiresponse optimization in a multistage process using a classification and regression tree method
- (2021) Dong-Hee Lee et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Influence of grain refinement on the corrosion behavior of metallic materials: A review
- (2021) Pan-jun Wang et al. International Journal of Minerals Metallurgy and Materials
- Machine learning with big data analytics for cloud security
- (2021) Abdul Salam Mohammad et al. COMPUTERS & ELECTRICAL ENGINEERING
- Performance comparison of CNN, QNN and BNN deep neural networks for real-time object detection using ZYNQ FPGA node
- (2021) V.R.S. Mani et al. MICROELECTRONICS JOURNAL
- Quantitative analysis of mechanical properties associated with aging treatment and microstructure in Mg-Al-Zn alloys through machine learning
- (2021) Joung Sik Suh et al. JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY
- A new understanding of the effect of Cr on the corrosion resistance evolution of weathering steel based on big data technology
- (2021) Xiaojia Yang et al. JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY
- Understanding environmental impacts on initial atmospheric corrosion based on corrosion monitoring sensors
- (2020) Zibo Pei et al. JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY
- Stress-assisted microbiologically influenced corrosion mechanism of 2205 duplex stainless steel caused by sulfate-reducing bacteria
- (2020) Xiaojia Yang et al. CORROSION SCIENCE
- Effect of cooling temperature on the microstructure and corrosion behavior of X80 pipeline steel
- (2020) Jing Ma et al. International Journal of Minerals Metallurgy and Materials
- Steel corrosion prediction based on support vector machines
- (2020) Ya-jun Lv et al. CHAOS SOLITONS & FRACTALS
- Towards understanding and prediction of atmospheric corrosion of an Fe/Cu corrosion sensor via machine learning
- (2020) Zibo Pei et al. CORROSION SCIENCE
- A study for corrosion behavior of a new-type weathering steel used in harsh marine environment
- (2020) Jinghuan Jia et al. CONSTRUCTION AND BUILDING MATERIALS
- Evaluation of corrosion conditions for the steel box members by corrosion monitoring exposure test
- (2020) Yong-Hee Jin et al. CONSTRUCTION AND BUILDING MATERIALS
- Improving atmospheric corrosion prediction through key environmental factor identification by random forest-based model
- (2020) Yuanjie Zhi et al. CORROSION SCIENCE
- Failure analysis of a 304 stainless steel heat exchanger in liquid sulfur recovery units
- (2020) Xiaojia Yang et al. ENGINEERING FAILURE ANALYSIS
- Influence of sulfides on the passivation behavior of titanium alloy TA2 in simulated seawater environments
- (2018) Xiaojia Yang et al. APPLIED SURFACE SCIENCE
- A novel model for hourly PM2.5 concentration prediction based on CART and EELM
- (2018) Zhigen Shang et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Weathering steel as a potential source for metal contamination: Metal dissolution during 3-year of field exposure in a urban coastal site
- (2016) Simona Raffo et al. ENVIRONMENTAL POLLUTION
- Materials science: Share corrosion data
- (2015) Xiaogang Li et al. NATURE
- Corrosion monitoring and materials selection for automotive environments by using Atmospheric Corrosion Monitor (ACM) sensor
- (2014) Daisuke Mizuno et al. CORROSION SCIENCE
- Hybrid genetic algorithms and support vector regression in forecasting atmospheric corrosion of metallic materials
- (2008) S.F. Fang et al. COMPUTATIONAL MATERIALS SCIENCE
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started