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Weakly Compressible Two-Layer Shallow-Water Flows Along Channels
In this paper, we formulate a model for weakly compressible two-layer shallow water flows with friction in general channels. The formulated model is...
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Gradient-Based Monte Carlo Methods for Relaxation Approximations of Hyperbolic Conservation Laws
Particle methods based on evolving the spatial derivatives of the solution were originally introduced to simulate reaction-diffusion processes,...
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Existence and uniqueness of solutions for \(\Psi \)-Caputo fractional neutral sequential differential equations on time scales
In this paper, we establish the existence and uniqueness of solutions for a class of initial value problems involving implicit fractional...
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Lattice-Based Polynomial Commitments: Towards Asymptotic and Concrete Efficiency
Polynomial commitments schemes are a powerful tool that enables one party to commit to a polynomial p of degree d , and prove that the committed...
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Super implicit two-step collocation methods for ordinary differential equations
This paper introduces a class of two-step collocation methods for the numerical solution of ordinary differential equations. These methods which are...
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Adaptive member adding for truss topology optimization: application to elastic design
This paper provides a rigorous and computationally efficient means of identifying compliance-based optimal truss topologies from high-resolution...
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Active learning for adaptive surrogate model improvement in high-dimensional problems
This paper investigates a novel approach to efficiently construct and improve surrogate models in problems with high-dimensional input and output. In...
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Bayesian optimization with hidden constraints for aircraft design
A challenge in aircraft design optimization is the presence of non-computable, so-called hidden, constraints that do not return a value in certain...
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Radiomics incorporating deep features for predicting Parkinson’s disease in 123I-Ioflupane SPECT
Purpose123 I-Ioflupane SPECT is an effective tool for the diagnosis and progression assessment of Parkinson’s disease (PD). Radiomics and deep...
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Robust design optimization using a non-intrusive second-order approximation of stochastic moments
This paper presents a new formulation of the second-order fourth-moment method (sometimes referred to as second-order perturbation method or...
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Generalized high-order compact difference schemes for the generalized Rosenau–Burgers equation
A shallow-water wave propagation model can be described as a generalized Rosenau–Burgers equation with strong nonlinearity and high-order dispersion...
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The Price of Active Security in Cryptographic Protocols
We construct the first actively-secure Multi-Party Computation (MPC) protocols with an arbitrary number of parties in the dishonest majority setting,...
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Pairwise ranking with Gaussian kernel
Regularized pairwise ranking with Gaussian kernels is one of the cutting-edge learning algorithms. Despite a wide range of applications, a rigorous...
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Numerical simulation, existence and uniqueness for solving nonlinear mixed partial integro-differential equations with discontinuous kernels
This study describes a new effective technique for solving mixed partial integro-differential equations that are nonlinear with discontinuous kernels...
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A Penalty-Free and Essentially Stabilization-Free DG Method for Convection-Dominated Second-Order Elliptic Problems
A new discontinuous Galerkin (DG) method is proposed and analyzed for general second-order elliptic problems. It features that local
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Deep learning based bilateral filtering for edge-preserving denoising of respiratory-gated PET
BackgroundResidual image noise is substantial in positron emission tomography (PET) and one of the factors limiting lesion detection, quantification,...
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Intuitionistic fuzzy muirhead means motivated by frank triangular norms
The Muirhead Mean (MM) tools are more powerful and well-known operators utilized to express interrelationships among any input arguments...
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Timing limits of ultrafast cross-luminescence emission in CsZnCl-based crystals for TOF-CT and TOF-PET
BackgroundGood timing resolution in medical imaging applications such as TOF-CT or TOF-PET can boost image quality or patient comfort significantly...
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Multi-objective structure optimization for interior permanent magnet synchronous motors under complex operating conditions
In order to improve the dynamic performance of permanent magnet synchronous motors (PMSMs) under complex operating conditions and reduce energy...