Results 101 to 110 of about 23,770 (308)
Spectrum Situation Awareness for Space–Air–Ground Integrated Networks Based on Tensor Computing
SensorsThe spectrum situation awareness problem in space–air–ground integrated networks (SAGINs) is studied from a tensor-computing perspective. Tensor and tensor computing, including tensor decomposition, tensor completion and tensor eigenvalues, can satisfy ...
Bin Qi, Wensheng Zhang, Lei Zhang
doaj +1 more source
On almost sure identifiability of non multilinear tensor decomposition
, 2014 International audienceUniqueness of tensor decompositions is of crucial importance in numerous engineering applications. Extensive work in algebraic geometry has given various bounds involving tensor rank and dimensions to ensure generic identifiability.
Cohen, Jérémy, +2 more
core
Advanced Materials, EarlyView.Oxygen‐releasing hydrogels are widely used to support cell survival in 3D cultures and to promote wound healing. However, incorporating catalase to convert H2O2 into O2 often generates additional oxygen bubbles, leading to material instability which rarely addressed.
Sukulya Bunuasunthon +3 more
wiley +1 more source
A Tensor-Based Go Decomposition Method for Hyperspectral Anomaly Detection
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingHyperspectral anomaly detection (HAD) aims at effectively separating the anomaly target from the background. The low-rank and sparse matrix decomposition (LRaSMD) technique has shown great potential in HAD tasks.
Meiping Song +4 more
doaj +1 more source
On convergence of the maximum block improvement method
, 2015 . The MBI (maximum block improvement) method is a greedy approach to solving optimization problems where the decision variables can be grouped into a finite number of blocks. Assuming that optimizing over one block of variables while fixing all others is
Shuzhong Zhang +5 more
core +1 more source
Space–time proper generalized decompositions for the resolution of transient elastodynamic models [PDF]
, 2013 In this paper, we investigate ability of proper generalized decomposition (PGD) to solve transient elastodynamic models in space–time domain. Classical methods use time integration schemes and an incremental resolution process.
BOUCINHA, Lucas +2 more
core +1 more source
AI–Guided 4D Printing of Carnivorous Plants–Inspired Microneedles for Accelerated Wound Healing
Advanced Materials, EarlyView.This work presents an artificial intelligence (AI)‐guided 4D‐printed microneedle platform inspired by carnivorous plants for wound healing. A thermo‐responsive shape memory polymer enables body temperature–triggered self‐coiling for autonomous wound closure.
Hyun Lee +21 more
wiley +1 more source
Co-PARAFAC: A Novel Cost-Efficient Scalable Tensor Decomposition Algorithm
IEEE AccessThis paper proposes a novel tensor decomposition method, cooperative parallel factor (Co-PARAFAC), that is devised to achieve higher accuracy with lower computational complexity and memory requirements than the conventional PARAFAC.
Farshad Shams +2 more
doaj +1 more source
A low-rank tensor decomposition based hyperspectral image compression algorithm
, 2016 Hyperspectral image (HSI), which is widely known that contains much richer information in spectral domain, has attracted increasing attention in various fields. In practice, however, since a hyperspectral image itself contains large amount of redundant
Bo Du +8 more
core +1 more source
Advanced Materials, EarlyView.As‐spun carbon materials produced from Lignosulfonate, gelatin, and alginate, selected for water solubility, and ability to produce templated sustainable carbon nanostructures. Gelatin and alginate are sacrificial during thermal processing, allowing the production of engineered high surface area nanostructures, which are further characterized for ...
Judith Miralda‐Jalle +6 more
wiley +1 more source