Results 81 to 90 of about 264,517 (319)

An Ultra‐Robust Memristor Based on Vertically Aligned Nanocomposite with Highly Defective Vertical Channels for Neuromorphic Computing

Advanced Functional Materials, EarlyView.
An ultra‐robust memristor based on SrTiO3‐CeO2 (S‐C) vertically aligned nanocomposite (VAN) achieving exceptional endurance of 1012 switching cycles via interface engineering. Artificial neural networks (ANNs) integrated with S‐C VAN memristors exhibit high training accuracy across multiple datasets.
Zedong Hu, Hongyi Dou, Jeremy B. Gan, Cun Li, Xuanyu Sheng, Juanjuan Lu, Abhijeet Choudhury, Jialong Huang, Yizhi Zhang, Zhongxia Shang, Ye Cao, Xinghang Zhang, Haiyan Wang   +12 more
wiley   +1 more source

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

Sensors
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

A multi-level preconditioned Krylov method for the efficient solution of algebraic tomographic reconstruction problems

, 2015
Classical iterative methods for tomographic reconstruction include the class of Algebraic Reconstruction Techniques (ART). Convergence of these stationary linear iterative methods is however notably slow.
Cools, Siegfried, Ghysels, Pieter, Sijbers, J., van Aarle, Wim, Vanroose, Wim   +4 more
core   +1 more source

Computed Tomography Images under Optimized Iterative Reconstruction Algorithm for Blood Flow Field Characteristics in Cerebral Aneurysm before and after Stent Implantation [PDF]

, 2021
Changkun Lin, Chuizhi Huang, Yan Chen, Nailong Jia, Jinghui Huang, Qimao Fu   +5 more
openalex   +1 more source

Computed Tomography Image Quality Evaluation of a New Iterative Reconstruction Algorithm in the Abdomen (Adaptive Statistical Iterative Reconstruction–V) a Comparison With Model-Based Iterative Reconstruction, Adaptive Statistical Iterative Reconstruction, and Filtered Back Projection Reconstructions [PDF]

Journal of Computer Assisted Tomography, 2018
Objective The purpose of this study was to compare abdominopelvic computed tomography images reconstructed with adaptive statistical iterative reconstruction–V (ASIR-V) with model-based iterative reconstruction (Veo 3.0), ASIR, and filtered back projection (FBP). Methods and Materials
Martin H, Goodenberger, Nicolaus A, Wagner-Bartak, Shiva, Gupta, Xinming, Liu, Ramon Q, Yap, Jia, Sun, Eric P, Tamm, Corey T, Jensen   +7 more
openaire   +2 more sources

A Bespoke Programmable Interpenetrating Elastomer Network Composite Laryngeal Stent for Expedited Paediatric Laryngotracheal Reconstruction

Advanced Functional Materials, EarlyView.
A programmable interpenetrating double‐network architecture, created via 3D‐TIPS printing and resin infusion, synergistically combines thermoplastic and thermosetting elastomers to balance structural rigidity and surface softness—crucial for paediatric laryngeal stents.
Elizabeth F. Maughan, Lei Wu, Dong Zhang, Linxiao Wu, Graca Ferreira Vaz Pinto Mendes, Wanqiao J. Tu, Heping Ma, Toby J. Proctor, Colin R. Butler, Thomas Kjærgaard, Mark W. Lowdell, Martin A. Birchall, Robert E. Hynds, Richard Hewitt, Wenhui Song   +14 more
wiley   +1 more source

TOMOGRAPHIC MAMMOGRAPHY AND TOMOSYNTHESIS USING OPENGL

Системный анализ и прикладная информатика, 2016
Computed tomography is still being intensively studied and widely used to solve a number of industrial and medical applications. The simultaneous algebraic reconstruction technique (SART) and Bayesian inference reconstruction (BIR) are considered as ...
S. A. Zolotarev, M. A. Mirzavand
doaj  

Multi-Objective Sparse Reconstruction With Transfer Learning and Localized Regularization

IEEE 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, Qi Zhao, J. Andrew Zhang, Zhihai Wang   +3 more
doaj   +1 more source

Quantifying Spatio‐Operational Heterogeneity in Electrochemical Devices via Operando Correlative Neutron and X‐Ray Tomography

Advanced Functional Materials, EarlyView.
Heterogeniety in electrochemical systems heavily influences device performance and durability. The study shows unique evidence of spatio‐operational heterogeneity in fuel cells via operando neutron and X‐ray tomography. Large variations in membrane thickness and hydration depend upon location and operating conditions, with implications on membrane ...
Pranay Shrestha, Jacob M. LaManna, Kieran F. Fahy, ChungHyuk Lee, Pascal J. Kim, Jason K. Lee, Elias Baltic, Daniel S. Hussey, David L. Jacobson, Aimy Bazylak   +9 more
wiley   +1 more source

High resolution image reconstruction with constrained, total-variation minimization

, 2011
This work is concerned with applying iterative image reconstruction, based on constrained total-variation minimization, to low-intensity X-ray CT systems that have a high sampling rate.
Chartrand, Rick, Duchin, Yuval, Pan, Xiaochuan, Sidky, Emil Y., Ullberg, Christer   +4 more
core   +1 more source