Results 41 to 50 of about 690,102 (265)

Functional Connectome Fingerprinting Through Tucker Tensor Decomposition

Applied Sciences
The human functional connectome (FC) is a representation of the functional couplings between brain regions derived from blood oxygen level-dependent (BOLD) signals.
Vitor Carvalho, Mintao Liu, Jaroslaw Harezlak, Ana María Estrada Gómez, Joaquín Goñi   +4 more
doaj   +1 more source

Accelerated Discovery of Topological Spin Phase Diagrams in CrSBr Magnets Via High‐Throughput Optimization

Advanced Functional Materials, EarlyView.
Here, we develop a high‐throughput algorithm that accelerates the elucidation of phase diagrams of topological spin textures using limited computational resources at high numerical accuracy. Applying this framework to the van der Waals magnet CrSBr, we unveiled a hierarchy of previously unknown topological textures (domain‐wall bimerons, bimeron chains,
Andrew Lyall, Mohammad H. Badarneh, Cristian Bonato, Rebecca Cheung, Elton J. G. Santos   +4 more
wiley   +1 more source

High Dynamic Range Image Watermarking Based on Tucker Decomposition

IEEE Access, 2019
High dynamic range (HDR) imaging technique has received much attentions in the recent years for its abundant details and wide dynamic range of luminance.
Mei Yu, Yang Wang, Gangyi Jiang, Yongqiang Bai, Ting Luo   +4 more
doaj   +1 more source

Gap-Filling of NDVI Satellite Data Using Tucker Decomposition: Exploiting Spatio-Temporal Patterns

Remote Sensing, 2021
Remote sensing satellite images in the optical domain often contain missing or misleading data due to overcast conditions or sensor malfunctioning, concealing potentially important information. In this paper, we apply expectation maximization (EM) Tucker
Andri Freyr Þórðarson, Andreas Baum, Mónica García, Sergio M. Vicente-Serrano, Anders Stockmarr   +4 more
doaj   +1 more source

Nitride MXenes Beyond Carbides: Bridging the Gap Between Computational Prediction and Experimental Realization

Advanced Functional Materials, EarlyView.
Nitride MXenes remain constrained by a persistent gap between computational prediction and experimental realization. This Review identifies the thermodynamic, kinetic, and chemical barriers limiting their synthesis, critically evaluates emerging fabrication routes, and proposes a multidimensional computational‐experimental framework to accelerate the ...
Naresh Varnakavi, Masoud Soroush
wiley   +1 more source

Hyperspectral Compressive Image Reconstruction With Deep Tucker Decomposition and Spatial–Spectral Learning Network

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Hyperspectral compressive imaging has taken advantage of compressive sensing theory to capture spectral information of the dynamic world in recent decades of years, where an optical encoder is employed to compress high dimensional signals into a single 2-
Hao Xiang, Baozhu Li, Le Sun, Yuhui Zheng, Zebin Wu, Jianwei Zhang, Byeungwoo Jeon   +6 more
doaj   +1 more source

Scalable Symmetric Tucker Tensor Decomposition

SIAM Journal on Matrix Analysis and Applications
We study the best low-rank Tucker decomposition of symmetric tensors. The motivating application is decomposing higher-order multivariate moments. Moment tensors have special structure and are important to various data science problems. We advocate for projected gradient descent (PGD) method and higher-order eigenvalue decomposition (HOEVD ...
Ruhui Jin, Joe Kileel 0001, Tamara G. Kolda, Rachel A. Ward   +3 more
openaire   +5 more sources

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Hyperspectral Image Superresolution Using Unidirectional Total Variation With Tucker Decomposition

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
The hyperspectral image superresolution (HSI-SR) problem aims to improve the spatial quality of a low spatial resolution HSI by fusing the LR-HSI with the corresponding high spatial resolution multispectral image.
Ting Xu, Ting-Zhu Huang, Liang-Jian Deng, Xi-Le Zhao, Jie Huang   +4 more
doaj   +1 more source

Scalable Production of Disordered Nickel‐Iron‐Aluminum Oxides as Stable Anodes for Water Electrolysis: The Role of Aluminum

Advanced Materials Interfaces, EarlyView.
Solution precursor plasma spraying enables the scalable fabrication of porous and disordered nickel‐iron‐aluminum oxide coatings as precious‐metal‐free anodes. Aluminum inhibits crystal growth, optimizes local atomic sites, and enhances charge and ion transport to accelerate reaction kinetics, leading to excellent performance and operational stability.
Tugce Ustunel, Joakim Bäckström, Esdras J. Canto‐Aguilar, Mouna Rafei, Litty Thomas Manamel, Mahesh Ramakrishnan, Konstantin Klementiev, Nina Grunditz, Erik Zimmerman, Thomas Wågberg, Susanne Holmin, Eduardo Gracia‐Espino   +11 more
wiley   +1 more source