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Article
Open AccessCL-BPUWM: continuous learning with Bayesian parameter updating and weight memory
Catastrophic forgetting in neural networks is a common problem, in which neural networks lose information from previous tasks after training on new tasks. Although adopting a regularization method that prefere...
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Article
Open AccessGaussian guided frame sequence encoder network for action quality assessment
Can a computer evaluate an athlete’s performance automatically? Many action quality assessment (AQA) methods have been proposed in recent years. Limited by the randomness of video sampling and the simple strat...
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Article
Open AccessNumerical Simulations of Coastal Overwash Using A Phase-Averaged Wave—Current—Sediment Transport Model
Coastal overwash is a natural phenomenon that commonly occurs during storm events and can cause considerable changes in nearshore morphology within a short time. In this study, a complete set of empirical over...
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Article
Effect of melting rate on microsegregation and primary MC carbides in M2 high-speed steel during electroslag remelting
Large-size primary MC carbides can significantly reduce the performance of M2 high-speed steel. To better control the morphology and size of primary MC carbides, the effect of melting rate on microsegregation ...
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Article
Open AccessReview on the Relationship Between Liquid Aerospace Fuel Composition and Their Physicochemical Properties
The development of advanced air transportation has raised new demands for high-performance liquid hydrocarbon fuels. However, the measurement of fuel properties is time-consuming, cost-intensive, and limited t...
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Article
Quantitative models for microstructure and thermal conductivity of vermicular graphite cast iron cylinder block based on cooling rate
The relationships of cooling rate with microstructure and thermal conductivity of vermicular graphite cast iron (VGI) cylinder block were studied, which are important for design and optimization of the casting...
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Article
Open AccessConsistent constraint-based video-level learning for action recognition
This paper proposes a new neural network learning method to improve the performance for action recognition in video. Most human action recognition methods use a clip-level training strategy, which divides the ...
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Article
Open AccessCorrosion Behavior of the S136 Mold Steel Fabricated by Selective Laser Melting
The selective laser melting (SLM) method has a great potential for fabricating injection mold with complex structure. However, the microstructure and performance of the SLM molds show significantly different f...
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Article
Molecular simulation of interfacial reaction between TiAl alloy melts and different coatings
The effect of coatings (Y2O3, ZrO2 and Al2O3) on the interfacial reaction of TiAl alloys was studied with molecular dynamics. The binding energy of coatings and the diffusion process of oxygen in the melt were si...