Results 121 to 130 of about 710,592 (303)

An Alternating Bayesian Approach to PARAFAC Decomposition of Tensors

open access: yesIEEE Access, 2018
The PARAllel FACtor (PARAFAC) decomposition is known as one of the most commonly used tools in tensor signal/data processing. Unfortunately, its classical algorithms barely take the potential statistical and/or deterministic prior information of the ...
Ming Shi, Dan Li, Jian Qiu Zhang
doaj   +1 more source

Decomposition of tensors

open access: yes, 2014
We consider representations of tensors as sums of decomposable tensors or, equivalently, decomposition of multilinear forms into one--forms. In this short note we show that there exists a particular finite strongly orthogonal decomposition which is essentially unique and yields all critical points of the multilinear form on the torus.
Peña, Juan Manuel, Sauer, Tomas
openaire   +2 more sources

Graphene Layers as Functional Biomaterials. From Fabrication and Characterization to Biological Applications

open access: yesAdvanced Materials Interfaces, EarlyView.
Graphene layers are fabricated on Cu foil and transferred onto glass substrates to form double‐ and multi‐layer G‐glass. Raman spectroscopy confirms structural integrity, while SEM and fluorescence microscopy reveal favorable adhesion and spreading of L‐929 fibroblast cells.
Mariana Mihaela Apostol   +8 more
wiley   +1 more source

Hyperspectral Image Denoising With Group Sparse and Low-Rank Tensor Decomposition

open access: yesIEEE Access, 2018
Hyperspectral image (HSI) is usually corrupted by various types of noise, including Gaussian noise, impulse noise, stripes, deadlines, and so on. Recently, sparse and low-rank matrix decomposition (SLRMD) has demonstrated to be an effective tool in HSI ...
Zhihong Huang   +4 more
doaj   +1 more source

Engineering Ultra‐Low Fe or Ni Loading in Polymer Derived SiCN(O) Fibre Mats: Exploring the Performance towards Alkaline OER

open access: yesAdvanced Materials Interfaces, EarlyView.
Polymer‐derived SiCN(O) fibre mats enable anchoring of ultra‐low amounts of transition metals for efficient alkaline oxygen evolution. The distinct behaviour of Fe‐ and Ni‐based fibres highlights the importance of metal phase and support interactions in tailoring catalytic behaviour.
Eranezhuth Wasan Awin   +5 more
wiley   +1 more source

Space–time proper generalized decompositions for the resolution of transient elastodynamic models [PDF]

open access: yes, 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

Recent Advances of Slip Sensors for Smart Robotics

open access: yesAdvanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang   +8 more
wiley   +1 more source

Non-iterative low-multilinear-rank tensor approximation with application to decomposition in rank-(1,L,L) terms

open access: yes, 2017
Submitted to SIAM Journal on Scientific ComputingComputing low-rank approximations is one of the most important and well-studied problems involving tensors.
de Morais Goulart, José Henrique   +1 more
core   +1 more source

Advanced Manufacturing of Composite‐Based Systems for Energy Applications

open access: yesAdvanced Materials Technologies, EarlyView.
Advanced manufacturing enables the integration of polymers, ceramics, metal oxides, and composites into architected microstructures with tailored transport pathways. By coupling material selection, manufacturing strategy, and structural design, multifunctional energy systems can simultaneously improve electrochemical performance, thermal management ...
Sri Vaishnavi Thummalapalli   +13 more
wiley   +1 more source

Tensor Decomposition with Missing Indices

open access: yes, 2017
How can we decompose a data tensor if the indices are partially missing?Tensor decomposition is a fundamental tool to analyze the tensor data.Suppose, for example, we have a 3rd-order tensor X where each element Xijk takes 1 if user i posts word j at ...
Kohei Hayashi, Yuto Yamaguchi
core   +1 more source

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