Results 181 to 190 of about 710,592 (303)

TDFusion: When Tensor Decomposition Meets Medical Image Fusion in the Nonsubsampled Shearlet Transform Domain. [PDF]

Sensors (Basel), 2023
Zhang R, Wang Z, Sun H, Deng L, Zhu H.
europepmc   +1 more source

Multiferroic‐Centric Materials and Systems Engineering for Battery Applications: An Insight Into Mechanisms, Strategies, and Characterizations

Advanced Science, EarlyView.
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su, Yanda Zhu, Hao Peng, Manman Li, Xuzihan Zhang, Meixiao Wu, Siyuan Zhang, Yuhan Zeng, Jiwen Liao, Ming Luo, Hetaishan Huang, Yutong Wang, Sean Li, Wenxian Li   +13 more
wiley   +1 more source

Probabilistic tensor decomposition extracts better latent embeddings from single-cell multiomic data. [PDF]

Nucleic Acids Res, 2023
Wang RH, Wang J, Li SC.
europepmc   +1 more source

Tensor decompositions

, 2020
Tensors are combinations of several vectors such that a bigger vector space, also calledthe tensor space, emerges. The tensor space has a richer structure that that of theseparate vector spaces. Tensors are universally used in quantum mechanics to modelmutipartite systems. Tensor decompositions aim to write these tensors as combina-tions of elements of
openaire   +1 more source

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

Advanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai, Ri He, Junxian Liu, Liangzhi Kou   +3 more
wiley   +1 more source

Untamed: Unconstrained Tensor Decomposition and Graph Node Embedding for Cortical Parcellation. [PDF]

Hum Brain Mapp
Liu Y, Li J, Wisnowski JL, Leahy RM.
europepmc   +1 more source

Application note: TDbasedUFE and TDbasedUFEadv: bioconductor packages to perform tensor decomposition based unsupervised feature extraction. [PDF]

Front Artif Intell, 2023
Taguchi YH, Turki T.
europepmc   +1 more source

Cicada Wing‐Inspired Skeleton‐GO Networks in Melamine Foams for Multifunctional High‐Performance Composites

Advanced Science, EarlyView.
Inspired by the intricate microstructure of cicada wings, researchers developed a novel in situ skeleton‐graphene membrane architecture within lightweight foams. This bioinspired design dramatically enhances multifunctional performance: vibration attenuation time decreases by ∼83.3%, damping capacity increases by ∼179.3%, and compressive modulus rises ...
Jigang Feng, Anhao Li, Babak Safaei, Yun Kong, Yizhen Miao, Zhaoye Qin, Fulei Chu   +6 more
wiley   +1 more source

Bayesian Tensor Decomposition for Clustering Latent Symptom Profiles for Verbal Autopsy Data. [PDF]

Stat Med
Zhu Y, Li ZR.
europepmc   +1 more source

NTD-DR: Nonnegative tensor decomposition for drug repositioning. [PDF]

PLoS One, 2022
Jamali AA, Tan Y, Kusalik A, Wu FX.
europepmc   +1 more source