Results 91 to 100 of about 68,766 (311)

SSM-Net: Enhancing Compressed Sensing Image Reconstruction with Mamba Architecture and Fast Iterative Shrinking Threshold Algorithm Optimization

open access: yesSensors
Compressed sensing (CS) is a powerful technique that can reduce data size while maintaining high reconstruction quality, which makes it particularly valuable in high-dimensional image applications. However, many existing methods have difficulty balancing
Xianwei Gao, Bi Chen, Xiang Yao, Ye Yuan
doaj   +1 more source

Nondestructive Testing of Welded Composite Metal Foams

open access: yesAdvanced Engineering Materials, EarlyView.
X‐ray computed tomography (CT) is used to evaluate welded steel–steel composite metal foam (CMF) joints of two density classes. It reports variation in postweld spatial void distribution and correlates it to weld‐induced changes, mechanical performance, and failure within welded CMF panels.
Chinmaya Prerana Inguva   +2 more
wiley   +1 more source

Spline- and tensor-based signal reconstruction : from structure analysis to high-performance algorithms to multiplatform implementations and medical applications [PDF]

open access: yes, 2015
The problem of signal reconstruction is of fundamental practical value for many applications associated with the field of signal and image processing.
Morozov, Oleksii
core   +1 more source

Ultra Low Dose CT Pulmonary Angiography with Iterative Reconstruction. [PDF]

open access: yesPLoS ONE, 2016
OBJECTIVE:Evaluation of a new iterative reconstruction algorithm (IMR) for detection/rule-out of pulmonary embolism (PE) in ultra-low dose computed tomography pulmonary angiography (CTPA).
Andreas Sauter   +8 more
doaj   +1 more source

Enhancing Bubble Removal in Geometry‐Optimized Electrodes

open access: yesAdvanced Engineering Materials, EarlyView.
3D‐printed lattice electrodes outperform stochastic foams in alkaline water electrolysis despite 20%–25% lower surface area. Straight flow channels generate Venturi‐like bubble entrainment, suppressing gas accumulation that renders foam interiors electrochemically inactive.
Florian Wiesner   +5 more
wiley   +1 more source

Inverse Identification of Energy‐Dependent Laser Absorptivity in NiTi Laser Powder‐Bed Fusion via Calibrated Melt Pool Simulation

open access: yesAdvanced Engineering Materials, EarlyView.
A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi   +3 more
wiley   +1 more source

Iterative Reconstruction for Quantitative Material Decomposition in Dual-Energy CT

open access: yes, 2010
It is of clinical interest to decompose a three material mixture into its constituted substances using dual-energy CT. In radiation therapy, for example material decomposition can be used to determine tissue properties for the calculation of dose in ...
Muhammad, Arif
core  

A very fast implementation of 2D iterative reconstruction algorithms [PDF]

open access: yes, 1996
One of the limitations of using iterative reconstruction methods in tomography is the slow performance compared with the direct reconstruction methods, such as Filtered Backprojection.
Jensen, Peter James   +2 more
core   +1 more source

A robust iterative reconstruction technique for deflectometry [PDF]

open access: yesNanotechnology and Precision Engineering
We present an iterative surface-reconstruction approach based on vision rays that achieves not only higher reconstruction accuracy than the Delaunay/Möller–Trumbore method but also a significant reduction in computation time.
Yingmo Wang, Fengzhou Fang
doaj   +1 more source

Multi-Objective Sparse Reconstruction With Transfer Learning and Localized Regularization

open access: yesIEEE Access, 2020
Multi-objective sparse reconstruction methods have shown strong potential in sparse reconstruction. However, most methods are computationally expensive due to the requirement of excessive functional evaluations.
Bai Yan   +3 more
doaj   +1 more source

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