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

