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Article
Open AccessApplication of machine reading comprehension techniques for named entity recognition in materials science
Materials science is an interdisciplinary field that studies the properties, structures, and behaviors of different materials. A large amount of scientific literature contains rich knowledge in the field of ma...
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Article
Open AccessPreparation and properties of Mg-Nd binary alloy MAO/SiO2@α-Fe2O3 organic composite coating
In order to make magnesium alloys better used in aviation, electronic information and other fields, it is necessary to improve their corrosion resistance and wave absorption properties. In this paper, a compos...
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Article
Modeling the Double-Pass Flow Curve of Nb Micro-Alloyed Steel by Machine Learning and its Extrapolation to Static Softening Kinetics
This paper presents a method to predict the double-pass flow stress behavior of hot-rolled niobium (Nb) micro-alloyed steel by combining the constitutive model and back-propagation neural network (BPNN) model ...
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Article
Prediction of Hot Deformation Behavior for Inconel 740H Alloy Based on Ensemble Learning
An ensemble constitutive equation model was proposed to predict the hot deformation behavior of Inconel 740H alloy during hot compression tests. The material parameters in the Arrhenius-type equation were comp...
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Article
Development and application of automatic identification methods based on deep learning for oxide scale structures of iron and steel materials
Iron oxide structure has an important impact on the surface quality of steel, and the experimental segmentation and identification of iron oxide structure can provide help for statistical and modeling studies ...
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Article
Modeling Continuous Cooling Transformations for HSLA Steels With Physical Metallurgy Guided Hereditary Machine Learning
Phase transformations during continuous cooling play a vital role in controlling final microstructure and mechanical properties of hot-rolled high-strength low-alloy (HSLA) steels. Therefore, accurate predicti...
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Article
Mindfulness-based intervention to reduce multiple health risk behaviors in Chinese undergraduates:a randomized controlled trial
College students are most susceptible to highest-risk of health risk behaviors (HRBs) in China. Mindfulness-based interventions (MBIs) have shown significant benefit in specific HRB; however, evidence of its e...
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Chapter and Conference Paper
BSB: Bringing Safe Browsing to Blockchain Platform
Programmable Blockchain brings a new type of decentralized applications (Dapps) that facilitate transfer of assets across users without a third party. The popularity of Ethereum Dapps brings themselves great s...
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Article
Comparisons of Different Data-Driven Modeling Techniques for Predicting Tensile Strength of X70 Pipeline Steels
Mechanical property prediction for X70 pipeline steels attracts people’s attention because of maintaining high process stability and controlling production quality. Data-driven model is widely used and has the...
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Chapter and Conference Paper
Density-Based Dynamic Revision Path Planning in Urban Area via VANET
Dynamic path planning can efficiently enhance the validity and reliability of real-time navigation for vehicles to avoid unexpected traffic congestions and to shorten the whole traveling time. In this paper, w...