Results 61 to 70 of about 37,700 (292)

A Numerical–Experimental Approach for Multi‐Matrix Fiber‐Reinforced Plastics Characterization Using Finite Element Model Updating

open access: yesAdvanced Engineering Materials, EarlyView.
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora   +4 more
wiley   +1 more source

On Deterministically Approximating Total Variation Distance

open access: yes, 2023
Total variation distance (TV distance) is an important measure for the difference between two distributions. Recently, there has been progress in approximating the TV distance between product distributions: a deterministic algorithm for a restricted ...
Feng, Weiming   +2 more
core  

Natural Bone‐Derived Ceramic Scaffolds Functionalized with Chitosan‐Gold, Chitosan‐Magnesium, and Chitosan‐Zinc for Enhanced Antibacterial Activity

open access: yesAdvanced Engineering Materials, EarlyView.
This study reports the development of antibacterial ceramic scaffolds derived from natural bovine bone. The bones were processed through sequential boiling and hydrogen peroxide treatment to remove organic matter, producing porous, mineral‐rich scaffolds.
Mohamad Hassan Taherian   +6 more
wiley   +1 more source

Improved TV-CS Approaches for Inverse Scattering Problem

open access: yesThe Scientific World Journal, 2015
Total Variation and Compressive Sensing (TV-CS) techniques represent a very attractive approach to inverse scattering problems. In fact, if the unknown is piecewise constant and so has a sparse gradient, TV-CS approaches allow us to achieve optimal ...
M. T. Bevacqua, L. Di Donato
doaj   +1 more source

Total-variation regularization with bound constraints

open access: yes, 2010
We present a new algorithm for bound-constrained total-variation (TV) regularization that in comparison with its predecessors is simple, fast, and flexible.
Chartrand, Rick Los Alamos National Laboratory   +1 more
core   +1 more source

A Coordinate Descent Method for Total Variation Minimization [PDF]

open access: yes, 2017
Total variation (TV) is a well-known image model with extensive applications in various images and vision tasks, for example, denoising, deblurring, superresolution, inpainting, and compressed sensing.
Gang Xiao   +4 more
core   +1 more source

Memristor‐Driven Active‐Matrix Organic Light‐Emitting Diode for Energy Efficient and High‐Resolution Displays

open access: yesAdvanced Functional Materials, EarlyView.
This study demonstrates that memristors can replace conventional 2T–1C driving circuits with simplified 1T–1 m architectures by exploiting resistance switching. With ultra‐low switching voltages (< ±0.2 V) and multi‐level resistance states, the memristors precisely control the current injected into organic light‐emitting diodes (OLEDs).
Dong Hyun Kim   +6 more
wiley   +1 more source

Reconstruction for 3D PET Based on Total Variation Constrained Direct Fourier Method.

open access: yesPLoS ONE, 2015
This paper presents a total variation (TV) regularized reconstruction algorithm for 3D positron emission tomography (PET). The proposed method first employs the Fourier rebinning algorithm (FORE), rebinning the 3D data into a stack of ordinary 2D data ...
Haiqing Yu   +5 more
doaj   +1 more source

Improved L0 Gradient Minimization with L1 Fidelity for Image Smoothing. [PDF]

open access: yesPLoS ONE, 2015
Edge-preserving image smoothing is one of the fundamental tasks in the field of computer graphics and computer vision. Recently, L0 gradient minimization (LGM) has been proposed for this purpose.
Xueshun Pang   +5 more
doaj   +1 more source

Robust Double Spatial Regularization Sparse Hyperspectral Unmixing

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
With the help of endmember spectral library, sparse unmixing techniques have been successfully applied to hyperspectral image interpretation. The inclusion of spatial information in the sparse unmixing significantly improves the resulting fractional ...
Fan Li   +5 more
doaj   +1 more source

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