Results 71 to 80 of about 6,413,007 (222)

From structural design to model compression: Research progress on lightweight algorithms for motor imagery brain–computer interfaces

Journal of Intelligent Medicine, EarlyView.
Lightweight Motor Imagery BCI Decoding: From Structural Design to Model Compression. This graphical abstract summarizes the motivation, principal strategies, and deployment benefits of lightweight motor imagery brain–computer interface decoding. Structural‐level lightweight designs, including depthwise separable, multi‐branch, and dilated convolutions,
Yijie Zhou, Zhuoyue Chu, Shengcui Cheng, Mingming Zhang, Long Chen, Zhongpeng Wang   +5 more
wiley   +1 more source

An Enhanced Incremental SVD Algorithm for Change Point Detection in Dynamic Networks

IEEE Access, 2018
Change point detection is essential to understand the time-evolving structure of dynamic networks. Recent research shows that a latent semantic indexing (LSI)-based algorithm effectively detects the change points of a dynamic network.
Yongsheng Cheng, Jiang Zhu, Xiaokang Lin
doaj   +1 more source

Compound Meteorological and Hydrological Hot‐Dry and Hot‐Wet Extremes Over Global Land Areas: Spatiotemporal Changes, Attribution, and Drivers

International Journal of Climatology, EarlyView.
The changes in joint return period of compound meteorological hot‐dry (CMHHE) and hot‐wet (CMHWE) and compound hydrological hot‐dry (CHHDE) and hot‐wet (CHHWE) extremes were attributed to changes in associated univariate extremes and their dependence.
Ruting Yang, Silong Zhang, Xiongpeng Tang, Chao Gao, Haibin Zhang, Xin Yin, Yanli Liu   +6 more
wiley   +1 more source

Empirical Evaluation of Four Tensor Decomposition Algorithms [PDF]

, 2007
Higher-order tensor decompositions are analogous to the familiar Singular Value Decomposition (SVD), but they transcend the limitations of matrices (second-order tensors).
Turney, Peter, Turney, Peter D.
core   +1 more source

Analysis of CATA data by Singular Value Decomposition (SVD)

, 2022
_ Data by CATA (Check-All-That-Apply) method was analyzed by SVD (Singular Value Decomposition). SVD extracts row and column informations of the cross table of CATA data.
Yasuharu Okamoto
core   +1 more source

Common‐Mode Rejection Shifted‐Excitation Raman Difference Spectroscopy (CMR‐SERDS) Preserves Broad Structure Predictive of Soil Organic Carbon

Journal of Raman Spectroscopy, EarlyView.
Common‐mode rejection (CMR) is introduced as a physics‐motivated preprocessing method for shifted excitation Raman difference spectroscopy (SERDS) that removes the shared background of paired measurements while preserving the noncommon excitation‐dependent component. Applied to more than 900 North American soil samples, CMR improves soil organic carbon
Mahsa Zarei, Miayan Larose, Natalia V. Solomatova, Sadegh Shokatian, Edward Grant   +4 more
wiley   +1 more source

Matrices: un modelo para las fotografías digitales

Modelling in Science Education and Learning, 2011
En este trabajo se resalta la relación que existe entre dos disciplinas, aparentemente muy distintas: la fotografía digital y las matemáticas. En efecto, las imágenes digitales -que todos manejamos hoy en día- se modelizan matemáticamente como matrices ...
María Elena Domínguez Jiménez
doaj   +1 more source

Ultra‐High Frequency Ultrasound Imaging and Quantification of Microvascular Flow in Xenograft Renal Cell Carcinoma in an Avian Chorioallantoic Membrane Model

Journal of Ultrasound in Medicine, EarlyView.
Patient‐derived xenograft (PDX) tumor models initiated in avian chorioallantoic membranes (CAM) are under investigation to evaluate the effectiveness of therapeutic options with the objective of personalizing treatments. CAM PDXs paired with ultra‐high frequency ultrasound (UHFUS) imaging could potentially constitute prospective high throughput assays ...
Sara Mar, Emmanuel Chérin, Justin Xu, David E. Goertz, Hon S. Leong, Christine E.M. Demore   +5 more
wiley   +1 more source

A singular value decomposition approach for improved taxonomic classification of biological sequences

BMC Genomics, 2011
Background Singular value decomposition (SVD) is a powerful technique for information retrieval; it helps uncover relationships between elements that are not prima facie related.
Santos Anderson R, Santos Marcos A, Baumbach Jan, McCulloch John A, Oliveira Guilherme C, Silva Artur, Miyoshi Anderson, Azevedo Vasco   +7 more
doaj   +1 more source

Non‐Rigid Motion‐Compensated MR Multitasking for Free‐Breathing Low‐Dose Dynamic Contrast‐Enhanced MRI in the Abdomen

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To improve free‐breathing low‐dose quantitative dynamic contrast‐enhanced (DCE) MRI for imaging pancreatic ductal adenocarcinoma. Methods We introduced non‐rigid (NR) motion compensation (MoCo) into MR Multitasking using a novel “in‐subspace” formulation that directly applies motion fields to spatial feature maps (eigenimages ...
Lingceng Ma, Chaowei Wu, Lixia Wang, Hsu‐Lei Lee, Junzhou Chen, Zheyuan Hu, Yibin Xie, Stephen J. Pandol, Srinivas Gaddam, Debiao Li, Anthony G. Christodoulou   +10 more
wiley   +1 more source