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Coupling effect of large deformation and surface roughness on dynamic frictional contact behaviors of hyperelastic material
The energy is a crucial factor in dynamical contact analysis. And the complexity of real-world surface morphologies characterized by roughness, poses...
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An adaptive time-step** Fourier pseudo-spectral method for the Zakharov-Rubenchik equation
An adaptive time-step** scheme is developed for the Zakharov-Rubenchik system to resolve the multiple time scales accurately and to improve the...
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Well-Posedness for the Stochastic Landau–Lifshitz–Bloch Equation with Helicity Driven by Jump Noise
The Landau–Lifshitz–Bloch (LLB) equation is used to model the phenomenon of ferromagnetism for temperatures both below and above the Curie...
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A stabilised Total Lagrangian Element-Free Galerkin method for transient nonlinear solid dynamics
This paper presents a new stabilised Element-Free Galerkin (EFG) method tailored for large strain transient solid dynamics. The method employs a...
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Spatio-temporal wind speed forecasting with approximate Bayesian uncertainty quantification
The prediction of short- and long-term wind speed has great utility for the industry, especially for wind energy generation. Deep neural networks can...
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A penalty-based cell vertex finite volume method for two-dimensional contact problems
In this paper, a penalty-based cell vertex finite volume method (P-CV-FVM) is proposed for the computation of two-dimensional contact problems. The...
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Engineering biomaterials by inkjet printing of hydrogels with functional particulates
Hydrogels with particulates, including proteins, drugs, nanoparticles, and cells, enable the development of new and innovative biomaterials. Precise...
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Filter bank temporally local multivariate synchronization index for SSVEP-based BCI
BackgroundMultivariate synchronization index (MSI) has been successfully applied for frequency detection in steady state visual evoked potential...
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A novel discrete slash family of distributions with application to epidemiology informatics data
This study puts forward a new class of discrete distribution that can be used by the epidemiologists and medical scientists to model data relating to...
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Temporal analysis of topic modeling output by machine learning techniques
Topic modeling is widely recognized as one of the most effective and significant methods of unsupervised text analysis. This method facilitates...
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Infrared and Visible Image Fusion Using Multi-scale Decomposition and Partial Differential Equations
Infrared and visible image fusion is an important task in many applications, such as surveillance, remote sensing, and medical imaging. This paper...
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Application 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...
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Unraveling Brain Synchronisation Dynamics by Explainable Neural Networks using EEG Signals: Application to Dyslexia Diagnosis
AbstractThe electrical activity of the neural processes involved in cognitive functions is captured in EEG signals, allowing the exploration of the...
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SGCP: a spectral self-learning method for clustering genes in co-expression networks
BackgroundA widely used approach for extracting information from gene expression data employs the construction of a gene co-expression network and...
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Convergence of projected subgradient method with sparse or low-rank constraints
Many problems in data science can be treated as recovering structural signals from a set of linear measurements, sometimes perturbed by dense noise...
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Ant Colony Optimization for solving Directed Chinese Postman Problem
The Chinese Postman Problem (CPP) is a well-known optimization problem involving determining the shortest route, modeling the system as an undirected...
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Lyapunov-guided representation of recurrent neural network performance
Recurrent neural networks (RNN) are ubiquitous computing systems for sequences and multivariate time-series data. While several robust RNN...
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The magnitude vector of images
The magnitude of a finite metric space has recently emerged as a novel invariant quantity, allowing to measure the effective size of a metric space....
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Unsupervised modeling of mutational landscapes of adeno-associated viruses viability
Adeno-associated viruses 2 (AAV2) are minute viruses renowned for their capacity to infect human cells and akin organisms. They have recently emerged...
