Results 231 to 240 of about 96,100 (273)

Unveiling the Role of Curvature in Carbon for Improved Energy Release of Ammonium Perchlorate

Advanced Materials, EarlyView.
High‐curvature carbon materials identified via machine learning and simulation can enhance the heat release and combustion performance of ammonium perchlorate. ABSTRACT The catalytic role of carbon curvature in the thermal decomposition of ammonium perchlorate (AP) remains largely unexplored. To address this gap, this study employs machine learning and
Dan Liu, Keliang Song, Haorui Zhang, Zhipeng Liu, Guansong He, Junru Wang, Wenming Yang, Xu Zhao, Zhijian Yang   +8 more
wiley   +1 more source

DistMLLM: Enhancing Multimodal Large Language Model Serving in Heterogeneous Edge Computing. [PDF]

Sensors (Basel)
Yuan X, Chen H, Liu L, Li H.
europepmc   +1 more source

Glymphatic, Structural, and Cognitive Changes During Breast Cancer Chemotherapy: A Longitudinal MRI Study. [PDF]

Hum Brain Mapp
Zhou X, Hu Y, Yang J, Huang Y, Lan H, Zheng J, Tang L, Zhang J, Chen J, Yin T, Liu D, Zhang J.   +11 more
europepmc   +1 more source

Healing with precision - Robotic Mitrofanoff procedure with autologous pubovaginal sling in neurogenic incontinence. [PDF]

Indian J Urol
Kalra S, Bolar S, Mudhol R, Gour S.
europepmc   +1 more source

Objective motor function assessment using diffusion tensor tractography in subacute acquired brain injury: A retrospective observational study. [PDF]

Medicine (Baltimore)
Wang AJ, Roh CH, Ko MH, Kim DS, Won YH, Park SH, Seo JH, Kim GW.   +7 more
europepmc   +1 more source

Association of MRI indexes of glymphatic system with brain atrophy and cognitive impairment in cerebral small vessel disease. [PDF]

Neuroimage Clin
Ai L, Li Z, Huang C, Zhou X, Zhu X, Xu Q, Sun Z.   +6 more
europepmc   +1 more source

Diffusion Tensor Tractography Shows White Matter Tract Changes in Breast Cancer Survivors with Balance Impairment. [PDF]

Pathophysiology
Nikolaeva A, Pospelova M, Voynov M, Krasnikova V, Makhanova A, Tonyan S, Efimtsev A, Olga F, Levchuk A, Trufanov G, Samochernykh K, Alekseeva T, Combs SE, Shevtsov M.   +13 more
europepmc   +1 more source

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Distributed Tensor Completion Over Networks

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
The aim of this paper is to propose a novel distributed strategy for tensor completion, where (partial) data are collected over a network of agents with sparse, but connected, topology. The method hinges on the canonical polyadic decomposition, also known as PARAFAC, to complete the low-rank tensor in a distributed fashion.
Battiloro C., Di Lorenzo P.
openaire   +2 more sources

Robust tensor completion using transformed tensor singular value decomposition

Numerical Linear Algebra with Applications, 2020
SummaryIn this article, we study robust tensor completion by using transformed tensor singular value decomposition (SVD), which employs unitary transform matrices instead of discrete Fourier transform matrix that is used in the traditional tensor SVD. The main motivation is that a lower tubal rank tensor can be obtained by using other unitary transform
Guangjing Song, Michael K. Ng, Xiongjun Zhang   +2 more
openaire   +1 more source

Tensor Completion-Based Incomplete Multiview Clustering

IEEE Transactions on Cybernetics, 2022
Incomplete multiview clustering is a challenging problem in the domain of unsupervised learning. However, the existing incomplete multiview clustering methods only consider the similarity structure of intraview while neglecting the similarity structure of interview.
Wei Xia, Quanxue Gao, Qianqian Wang, Xinbo Gao   +3 more
openaire   +2 more sources