Results 31 to 40 of about 12,132 (264)

Sparse convolutional neural network for high-resolution skull shape completion and shape super-resolution

Scientific Reports, 2023
Traditional convolutional neural network (CNN) methods rely on dense tensors, which makes them suboptimal for spatially sparse data. In this paper, we propose a CNN model based on sparse tensors for efficient processing of high-resolution shapes ...
Jianning Li, Christina Gsaxner, Antonio Pepe, Dieter Schmalstieg, Jens Kleesiek, Jan Egger   +5 more
doaj   +1 more source

Space-Time Approximation with Sparse Grids [PDF]

SIAM Journal on Scientific Computing, 2006
In this article we introduce approximation spaces, especially suited for the approximation of solutions of parabolic problems, which are based on the tensor product construction of a multiscale basis in space and a multiscale basis in time. Proper truncation then leads to so-called space-time sparse grid spaces.
Griebel, M, Oeltz, D, Vassilevski, P S
openaire   +1 more source

Slip Localization Intensification Mediated by Grain Boundary Sliding in a Polycrystalline Nickel‐Based Superalloy

Advanced Engineering Materials, EarlyView.
The temperature dependence of fatigue behavior in nickel‐based superalloys is investigated through high‐resolution measurements of plastic localization. While increasing temperature reduces localization and enhances fatigue performance in René 88DT, Inconel 718 exhibits a sharp degradation at intermediate temperature due to intensified slip ...
M. Calvat, D. Anjaria, I. Woo, C. Bean, D. Texier, J. C. Stinville   +5 more
wiley   +1 more source

Efficient Compressed Sensing Based Non-Sample Spaced Sparse Channel Estimation in OFDM System

IEEE Access, 2019
This paper aims to develop an efficient compressed sensing (CS) based channel estimation method for non-sample spaced sparse channels in orthogonal frequency division multiplexing (OFDM) systems, which can effectively balance the channel estimation ...
Hui Xie, Yide Wang, Guillaume Andrieux, Xinmin Ren   +3 more
doaj   +1 more source

Sparse Grid Approximation in Weighted Wiener Spaces

Journal of Fourier Analysis and Applications, 2023
AbstractWe study approximation properties of multivariate periodic functions from weighted Wiener spaces by sparse grid methods constructed with the help of quasi-interpolation operators. The class of such operators includes classical interpolation and sampling operators, Kantorovich-type operators, scaling expansions associated with wavelet ...
Kolomoitsev, Yurii, Lomako, Tetiana, Tikhonov, Sergey   +2 more
openaire   +5 more sources

Encyclopedia of 2D β′‐In2Se3 Growth Using Chemical Vapor Deposition: The Effects of Synthesis Parameters Onto Material Quality

Advanced Engineering Materials, EarlyView.
A distinct semi‐confined inner‐tube chemical vapor deposition geometry enables reproducible, large‐area growth of phase‐pure 2D β′‐In2Se3 from InI + Se precursors. Engineering local vapor transport and optimizing precursor delivery and temperature–time conditions yield uniform continuous films.
Dasun P. W. Guruge, P. Sanju S. Panawala, Joseph F. S. Fernando, Zhenhuan Chen, Chao Zhang, Dong‐Chen Qi, Liangzhi Kou, Konstantin L. Firestein, Dmitri V. Golberg   +8 more
wiley   +1 more source

Sparse grid reconstructions for Particle-In-Cell methods

ESAIM: Mathematical Modelling and Numerical Analysis, 2022
In this article, we propose and analyse Particle-In-Cell (PIC) methods embedding sparse grid reconstructions such as those introduced in Ricketson and Cerfon [Plasma Phys. Control. Fusion 59 (2017) 024002] and Muralikrishnan et al. [J. Comput. Phys. X 11 (2021) 100094].
Deluzet, Fabrice, Fubiani, G., Garrigues, Laurent, Guillet, Clément, Narski, Jacek   +4 more
openaire   +4 more sources

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

A Fast and Accurate Compressed Sensing Reconstruction Algorithm for ISAR Imaging

IEEE Access, 2019
Compressed sensing (CS) has provided a novel way for inverse synthetic aperture radar (ISAR) imaging. In CS based ISAR imaging, the continuous range-Doppler plane is divided into grids, and the strong scattering points are assumed on the grids.
Ping Cheng, Xinxin Wang, Jiaqun Zhao, Jiawei Cheng   +3 more
doaj   +1 more source

A subsystem‐based fault location method in distribution grids by sparse measurement

IET Generation, Transmission & Distribution, 2023
With the development of smart meters and other intelligent electronic devices, more and more data‐driven fault location methods based on wide area measurement are emerging.
Xiaodong Lv, Lifen Yuan, Zhen Cheng, Baiqiang Yin, Yigang He, Chengwei Ding   +5 more
doaj   +1 more source