Results 41 to 50 of about 3,449 (252)

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

A 3D Human Neuron‐on‐Chip Platform to Monitor Neuronal Injury Responses

Advanced Healthcare Materials, EarlyView.
This study presents a novel 3D Neuron‐on‐Chip model that can maintain human PSC‐derived excitatory prefrontal cortex neurons in 3D hydrogels and can be used to monitor neuronal injury responses over time. Results show injury‐induced acute neuronal excitotoxicity, declining neuronal connectivity, and the activation of a neurodegenerative, SASP‐like ...
Ruiping Tang, Charles‐Francois Latchoumane, Avi Chopra, Md Marzan Sarkar, Chunki Kim, Nathan Gonsalves, Hsueh‐Fu Wu, John C. Sentmanat, Alan Liu, Isha Mhatre‐Winters, Aditya Mishra, Andrei G. Fedorov, Jay M. Patel, Nadja Zeltner, Steven L. Stice, Jason R. Richardson, Lohitash Karumbaiah   +16 more
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

Tumor‐Targeted Hyaluronic Acid/Tannic Acid‐Engineered Oxygen Nanogenerators With IR780 Payloads Enable Dual‐Mode Glutathione Depletion and Effective Singlet Oxygen Generation for Melanoma Treatment

Advanced Healthcare Materials, EarlyView.
A hyaluronic acid/tannic acid‐engineered Prussian blue oxygen nanogenerator loaded with IR780 is developed to enhance melanoma phototherapy. By integrating tumor targeting, oxygen self‐supply, and dual‐mode glutathione depletion, the nanoplatform effectively overcomes hypoxia and antioxidant defenses, potentiating synergistic photothermal/photodynamic ...
Chai‐How Hsu, I‐Ju Liu, Hsiang‐Yun Chih, Tsai‐Ching Hsu, Ju‐An Liang, Chia‐Wei Kuo, Bor‐Show Tzang, Wen‐Hsuan Chiang   +7 more
wiley   +1 more source

Rapid Fabrication of Self‐Propelled and Steerable Magnetic Microcatheters for Precision Medicine

Advanced Materials, EarlyView.
A rapid Joule heating fabrication method for the production of self‐propelling, adaptive microcatheters, with tunable stiffness and integrated microfluidic channels is presented. Demonstrated through three microrobotic designs, including a steerable guiding catheter, an untethered wave‐crawling TubeBot, and a distal‐end propelled microcatheter, it was ...
Zhi Chen, Boris Rivkin, David Castellanos‐Robles, Ivan Soldatov, Lukas Beyer, Mariana Medina‐Sánchez   +5 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

Parallel Randomized Tucker Decomposition Algorithms

SIAM Journal on Scientific Computing
The Tucker tensor decomposition is a natural extension of the singular value decomposition (SVD) to multiway data. We propose to accelerate Tucker tensor decomposition algorithms by using randomization and parallelization. We present two algorithms that scale to large data and many processors, significantly reduce both computation and communication ...
Rachel Minster, Zitong Li, Grey Ballard
openaire   +3 more sources

Tensor dictionary learning with sparse TUCKER decomposition

2013 18th International Conference on Digital Signal Processing (DSP), 2013
Dictionary learning algorithms are typically derived for dealing with one or two dimensional signals using vector-matrix operations. Little attention has been paid to the problem of dictionary learning over high dimensional tensor data. We propose a new algorithm for dictionary learning based on tensor factorization using a TUCKER model.
Syed Zubair, Wenwu Wang 0001
openaire   +2 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