Results 131 to 140 of about 249,242 (319)

Advanced Hyperspectral Image Analysis: Superpixelwise Multiscale Adaptive T-HOSVD for 3D Feature Extraction

Sensors
Hyperspectral images (HSIs) possess an inherent three-order structure, prompting increased interest in extracting 3D features. Tensor analysis and low-rank representations, notably truncated higher-order SVD (T-HOSVD), have gained prominence for this ...
Qiansen Dai, Chencong Ma, Qizhong Zhang
doaj   +1 more source

Tensor-valued diffusion encoding for diffusional variance decomposition (DIVIDE) : Technical feasibility in clinical MRI systems

, 2019
Microstructure imaging techniques based on tensor-valued diffusion encoding have gained popularity within the MRI research community. Unlike conventional diffusion encoding—applied along a single direction in each shot—tensor-valued encoding employs ...
Nilsson, Markus, Lätt, Jimmy, Markus Nilsson, Szczepankiewicz, Filip, Jimmy Lätt, Sjölund, Jens, Filip Szczepankiewicz (421751), Sjölund, Jens,, Filip Szczepankiewicz, Latt, Jimmy,, Szczepankiewicz, Filip,, Jens Sjölund, Freddy Ståhlberg, Freddy Ståhlberg (6523895), Nilsson, Markus,, Stahlberg, Freddy,, Markus Nilsson (421753), Jens Sjölund (6523892), Jimmy Lätt (421752), Ståhlberg, Freddy   +19 more
core   +1 more source

Fatigue Crack Initiation and Growth in Nanocrystalline Ni at Multiple Length‐Scales

Advanced Engineering Materials, EarlyView.
Overview of miniaturized in situ SEM fatigue setup and resultant fatigue crack growth data for nanocrystalline Ni. The presented study focuses on the analysis of fatigue crack growth rate (FCGR) in focused ion beam‐notched microcantilevers prepared from nanocrystalline (NC) Ni as a model material.
Igor Moravcik, Alexander Jelinek, Markus Alfreider, Jutta Luksch, Anton Hohenwarter, Florian Schaefer, Christian Motz, Daniel Kiener   +7 more
wiley   +1 more source

Structural Adaptive Smoothing in Diffusion Tensor Imaging: The R Package dti

Diffusion weighted imaging has become and will certainly continue to be an important tool in medical research and diagnostics. Data obtained with diffusion weighted imaging are characterized by a high noise level.
Jörg Polzehl, Karsten Tabelow
core  

Representation and Estimation of Tensor-Pairs

, 2012
Over the years, several powerful models have been developed to represent specific elementary signal patterns, e.g. locally linear and planar structures.
Westin, Carl-Fredrik,, Knutsson, Hans,, Hans Knutsson, Carl-Fredrik Westin   +3 more
core   +1 more source

Creep‐Induced Microstructural Evolution in an A2‐B2 Superalloy

Advanced Engineering Materials, EarlyView.
A 27.3Ta‐27.3Mo‐27.3Ti‐8Cr‐10Al (at.%) refractory high‐entropy alloy with precipitation‐strengthened A2‐B2 microstructure was studied by creep tests at 1030°C, which demonstrate a transition in deformation mechanisms in the range of 100–150 MPa applied stress. This is associated with changes in dislocation–precipitate interactions. Relevant deformation
Liu Yang, Aparajita Pramanik, Sandipan Sen, Shubhashis Dixit, Marcel Muench, R. J. Vikram, Daniel Schliephake, Yolita M. Eggeler, Ankur Chauhan, Martin Heilmaier, Alexander Kauffmann   +10 more
wiley   +1 more source

Blind estimation of spreading codes for multi-antenna LC-DS-CDMA signals based on tensor decomposition

Tongxin xuebao, 2018
Aiming at the problem of the poor performance of the imputation method for the spreading codes blind estimation of the multi-antenna long-code direct sequence code division multiple access (CDMA) signals.Firstly,using the segmentation idea,the received ...
Zhijin ZHAO, Hui YIN, Fangfang QIANG, Junna SHANG   +3 more
doaj  

PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science

Advanced Engineering Materials, EarlyView.
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley   +1 more source

Automated, IMU-based spine angle estimation and IMU location identification for telerehabilitation

Journal of NeuroEngineering and Rehabilitation
Background Telerehabilitation is a promising avenue for improving patient outcomes and expanding accessibility. However, there is currently no spine-related assessment for telerehabilitation that covers multiple exercises.
Huiming Pan, Hong Wang, Dongxuan Li, Kezhe Zhu, Yuxiang Gao, Ruiqing Yin, Peter B. Shull   +6 more
doaj   +1 more source

Tensor-variate restricted Boltzmann machines

, 2015
Restricted Boltzmann Machines (RBMs) are an important class of latent variable models for representing vector data. An under-explored area is multimode data, where each data point is a matrix or a tensor. Standard RBMs applying to such data would require
TD Nguyen (9887741), Truyen Tran (13098360), Q Phung (14545181), Svetha Venkatesh (13096653)   +3 more
core