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Assessment of Wall Modeling With Adverse Pressure Gradient for High Reynolds Number Separated Flows
This paper applies a recently developed approach for modeling turbulence near wall regions within a lattice Boltzmann solver, in combination with a...
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Exploring superionic conduction in lithium oxyhalide solid electrolytes considering composition and structural factors
Lithium (Li) oxyhalides have emerged as promising solid electrolyte candidates for all-solid-state batteries (ASSBs) due to their superior ionic...
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Edge highlighting with depth-dependent opacity gradation of laser-scanned point clouds improves the accuracy of perceived depth in transparent multi-view 3D visualizations
There is an activity called "digital archiving" in which cultural property is digitized for preservation and utilization, and transparent...
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Transfer learning enables the rapid design of single crystal superalloys with superior creep resistances at ultrahigh temperature
Accelerating the design of Ni-based single crystal (SX) superalloys with superior creep resistance at ultrahigh temperatures is a desirable goal but...
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Design of polar boundaries enhancing negative electrocaloric performance by antiferroelectric phase-field simulations
Electrocaloric refrigeration which is environmentally benign has attracted considerable attention. In distinction to ferroelectric materials, which...
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Failure analysis in smart grid solar integration using an extended decision-making-based FMEA model under uncertain environment
Failures in the integration of solar energy into smart grids can have significant implications for energy reliability and environmental...
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Privacy-preserving matrix factorization for recommendation systems using Gaussian mechanism and functional mechanism
Building a recommendation system involves analyzing user data, which can potentially leak sensitive information about users. As shown in numerous...
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Data-scarce surrogate modeling of shock-induced pore collapse process
Understanding the mechanisms of shock-induced pore collapse is of great interest in various disciplines in sciences and engineering, including...
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MDGCL: Graph Contrastive Learning Framework with Multiple Graph Diffusion Methods
In recent years, some classical graph contrastive learning(GCL) frameworks have been proposed to address the problem of sparse labeling of graph data...
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Parameters optimization and precision enhancement of Takagi–Sugeno fuzzy neural network
Takagi–Sugeno fuzzy neural network (TSFNN) has been widely used in intelligent prediction. The prediction accuracy of TSFNN is impacted by its model...
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Forecasting short- and medium-term streamflow using stacked ensemble models and different meta-learners
Streamflow forecasting holds a pivotal role in the effective management of water resources, flood control, hydropower generation, agricultural...
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Fake and propaganda images detection using automated adaptive gaining sharing knowledge algorithm with DenseNet121
An additional tool for swaying public opinion on social media is to present recent developments in the creation of natural language. The term “Deep...
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Quantifying the stochastic trends of climate extremes over Yemen: a comprehensive assessment using ERA5 data
Climate change is worsening existing vulnerabilities in develo** countries such as Yemen. This study examined the spatial distribution trends of...
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Subgraph generation applied in GraphSAGE deal with imbalanced node classification
In graph neural network applications, GraphSAGE applies inductive learning and has been widely applied in important research topics such as node...
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High pressure suppression of plasticity due to an overabundance of shear embryo formation
High pressure shear band formation is a critical phenomenon in energetic materials due to its influence on both mechanical strength and...
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Impact of climate and weather extremes on soybean and wheat yield using machine learning approach
The escalating climate instability and extreme weather events significantly jeopardize food security. The study assessed the impact of long-term...
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A spectral collocation scheme for the flow of a piezo-viscous fluid in ducts with slip conditions
In this paper we present a numerical scheme based on spectral collocation methods to investigate the flow of a piezo-viscous fluid, i.e., a fluid in...
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An improved approach for incomplete information modeling in the evidence theory and its application in classification
Incomplete information modeling and fusion under uncertain circumstances remain a significant open problem in practical engineering. In this study,...
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Statistical inference on multicomponent stress–strength reliability with non-identical component strengths using progressively censored data from Kumaraswamy distribution
In this article, we draw inferences on stress–strength reliability in a multicomponent system with non-identical strength components based on the...
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A note on structural mode transitions in buckling of radially stretched annular plates
The different approximating assumptions used in deriving models for structural analysis by dimensional reduction of a 3d continuum to structural...
