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Dimensional reduction technique for the prediction of global and local responses of unidirectional composite with matrix nonlinearity and varying fiber packing geometry
The problem associated with the computational homogenization of composite materials often results in expensive computational cost that prevents...
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An adaptive time integration procedure for automated extended-explicit/implicit hybrid analyses
This paper introduces a new explicit-implicit time-marching formulation, presenting a novel hybrid approach for wave propagation analysis. The...
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A deep neural network for operator learning enhanced by attention and gating mechanisms for long-time forecasting of tumor growth
Forecasting tumor progression and assessing the uncertainty of predictions play a crucial role in clinical settings, especially for determining...
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Omni-dimensional dynamic convolution feature coordinate attention network for pneumonia classification
Pneumonia is a serious disease that can be fatal, particularly among children and the elderly. The accuracy of pneumonia diagnosis can be improved by...
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Analyzing elastic half-spaces with cavities under wave loads using an RK dynamic infinite meshfree method
This study introduces a novel dynamic infinite meshfree method, termed RK-DIMM (reproducing kernel dynamic infinite meshfree method), which is...
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Non-invasively identifying candidates of active surveillance for prostate cancer using magnetic resonance imaging radiomics
Active surveillance (AS) is the primary strategy for managing patients with low or favorable-intermediate risk prostate cancer (PCa). Identifying...
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The generation of tetrahedral meshes for NURBS-enhanced FEM
This work presents the first method for generating tetrahedral-based volume meshes dedicated to the NURBS-enhanced finite element method (NEFEM)....
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Adaptive phase-field total Lagrangian material point method for evaluating dynamic fracture of soft material
An adaptive phase-field total Lagrangian material point method (APTLMPM) is proposed in this paper for effectively simulating the dynamic fracture of...
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Boundary parameter matching for isogeometric analysis using Schwarz–Christoffel map**
Isogeometric analysis has brought a paradigm shift in integrating computational simulations with geometric designs across engineering disciplines....
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Multiphysics modeling of 3D traction force microscopy with application to cancer cell-induced degradation of the extracellular matrix
3D Traction Force Microscopy (3DTFM) constitutes a powerful methodology that enables the computation of realistic forces exerted by cells on the...
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Deal.t: an implementation of multivariate analysis suitable T-splines within the deal.ii framework
We present a numerical framework for solving partial differential equations within an isogeometric context using T-splines in two and three space...
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Isogeometric analysis based mesh adaptation for time dependent problems
This article presents a new algorithm designed to create a dynamic r-adaptive mesh within the framework of isogeometric analysis. The approach is...
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Solving acoustic scattering problems by the isogeometric boundary element method
We solve acoustic scattering problems by means of the isogeometric boundary integral equation method. In order to avoid spurious modes, we apply the...
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Uncertainty analysis in acoustics: perturbation methods and isogeometric boundary element methods
This study proposes a generalized n th-order perturbation method based on (isogeometric) boundary element methods for uncertainty analysis in 3D...
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Parameterization, algorithmic modeling, and fluid–structure interaction analysis for generative design of transcatheter aortic valves
Heart valves play a critical role in maintaining proper cardiovascular function in the human heart; however, valve diseases can lead to improper...
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iPINNs: incremental learning for Physics-informed neural networks
Physics-informed neural networks (PINNs) have recently become a powerful tool for solving partial differential equations (PDEs). However, finding a...
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A machine-learning-based peridynamic surrogate model for characterizing deformation and failure of materials and structures
It is necessary to determine the input features and output results when constructing a surrogate model within the data-driven neural network. Since...
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Generic volume transfer for distributed mesh dynamic repartitioning
Efficient and distributed adaptive mesh construction and editing pose several challenges, including selecting the appropriate distributed data...
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Two-step hierarchical binary classification of cancerous skin lesions using transfer learning and the random forest algorithm
Skin lesion classification plays a crucial role in the early detection and diagnosis of various skin conditions. Recent advances in computer-aided...
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Parallel processing model for low-dose computed tomography image denoising
Low-dose computed tomography (LDCT) has gained increasing attention owing to its crucial role in reducing radiation exposure in patients. However,...
