Results 51 to 60 of about 71,463 (232)

svds-C: A multi-thread C code for computing truncated singular value decomposition

SoftwareX, 2023
This article presents svds-C, an open-source and high-performance C program for accurately and robustly computing truncated SVD, e.g. computing several largest singular values and corresponding singular vectors. We have re-implemented the algorithm of svds in Matlab in C based on MKL or OpenBLAS and multi-thread computing to obtain the parallel program
Xu Feng, Wenjian Yu, Yuyang Xie
openaire   +3 more sources

Astrocytic Mitochondria Transplantation Rescues Neuron Loss and Dendritic Injuries in Acute Cerebral Ischemic Stroke Mouse Model by Flexibly Regulating Mitochondria Dynamics

Annals of Neurology, EarlyView.
Objective Cerebral ischemic stroke causes neuronal oxygen/energy deprivation, disrupting mitochondrial function including reduced membrane potential and bioenergetics, exacerbating neuronal injury. Mitochondrial defects are, therefore, a central neuropathological node and potential therapeutic target.
Ning Bian, Jianing Shen, Linwei Tian, Jinghui Li, Lu Yang, Bo Yuan, Shulin Li, Yuyu Niu, Lu Zhao, Jingkuan Wei   +9 more
wiley   +1 more source

New SVD based initialization strategy for Non-negative Matrix Factorization

, 2014
There are two problems need to be dealt with for Non-negative Matrix Factorization (NMF): choose a suitable rank of the factorization and provide a good initialization method for NMF algorithms.
Qiao, Hanli
core   +1 more source

Are there morpho‐acoustic patterns of adaptation in nonhuman primate ears? Testing the role of ecology and habitat in shaping ear morphology and function

The Anatomical Record, EarlyView.
Abstract Analysis of the variation in the bony structures of the inner and middle ear provides critical insights into functional morphology, as well as adaptive morphology across primates. In this study, we investigated whether ear morphology patterns are related to the ecological characteristics of species and their habitats to test two acoustic ...
Myriam Marsot, Rémi Laffont, Émilie Steimetz, Patricia Balaresque, Sébastien Couette   +4 more
wiley   +1 more source

Context‐centric proactive information delivery for Knowledge Work support: Opportunities, challenges, and directions. An Annual Review of Information Science and Technology (ARIST)

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh, Christian Jilek, Markus Schröder, Heiko Maus, Andreas Dengel   +4 more
wiley   +1 more source

Radar Signals Compression using Singular Value Decomposition (SVD) Approach

International Journal of Computer Applications, 2016
ability to reduce noise in a received radar signal from its target largely indicates the accuracy of the radar system. Matched filters help to maximize the signal to noise ratio of radar systems. Matched Filters are commonly used in radars whose transmitted signals are known and are used as a replica to correlate with the received signal.
Yaw Marfo, Asenso Kwarteng
openaire   +1 more source

Risk‐aware safe reinforcement learning for control of stochastic linear systems

Asian Journal of Control, EarlyView.
Abstract This paper presents a risk‐aware safe reinforcement learning (RL) control design for stochastic discrete‐time linear systems. Rather than using a safety certifier to myopically intervene with the RL controller, a risk‐informed safe controller is also learned besides the RL controller, and the RL and safe controllers are combined together ...
Babak Esmaeili, Nariman Niknejad, Hamidreza Modares   +2 more
wiley   +1 more source

Structured 3D-SVD: A Practical Framework for the Compression and Reconstruction of Biological Volumetric Images

Applied Sciences
This work introduces Structured 3D-SVD as a practical framework for the reconstruction, compression, and analysis of biological volumetric data. Inspired by the logic of matrix singular value decomposition (SVD), the proposed approach represents third ...
Mario Aragonés Lozano, Oscar Romero, Antonio León   +2 more
doaj   +1 more source

Gaborlet‐guided sparse filtering: A novel intelligent method for lithology identification by vibration signals while drilling

Deep Underground Science and Engineering, EarlyView.
The flowchart illustrates rock specimen testing, vibration signal acquisition, and feature extraction with Gaborlet and sparse filtering for classification. Abstract Traditional lithology identification methods mainly rely on core sampling and well‐logging data.
Jian Hao, Danqi Zhang, Zhenqi Song, Jinrui Wang, Qi Wang, Heqing Liu   +5 more
wiley   +1 more source

The Singular Value Expansion for Arbitrary Bounded Linear Operators

Mathematics, 2020
The singular value decomposition (SVD) is a basic tool for analyzing matrices. Regarding a general matrix as defining a linear operator and choosing appropriate orthonormal bases for the domain and co-domain allows the operator to be represented as ...
Daniel K. Crane, Mark S. Gockenbach
doaj   +1 more source