Results 51 to 60 of about 110,162 (274)

Objects features extraction by singular projections of data tensor to matrices

Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
The problem of multidimensional tensor objects features extraction in a manner of matrices is considered. The tensor’ elements Higher Order Singular Value Decomposition (SVD) is presented as the d-SVD which includes SVD of the tensor reshaped as a ...
Yuriy Bunyak, Roman Kvуetnyy, Olga Sofina, Volodymyr Kotsiubynskyi   +3 more
doaj   +1 more source

Multimodal Layer‐Crossing Interrogation of Brain Circuits Enabled by Microfluidic Axialtrodes

Advanced Science, EarlyView.
The study introduces a flexible microfluidic axialtrode that integrates optical, electrical, and chemical modalities within a single polymer fiber. By redistributing electrodes and fluidic channels along the fiber axis via angled cleaving, it enables simultaneous optogenetic stimulation, electrophysiological recording, and drug delivery across brain ...
Kunyang Sui, Neela K. Codadu, Daman Rathore, Guanghui Li, Marcello Meneghetti, Anders L. Bøcker, Rune W. Berg, Rob C. Wykes, Christos Markos   +8 more
wiley   +1 more source

SVD-based IWFA for next generation wireless MIMO communication

ICT Express, 2018
Point-to-point MIMO systems without channel state information at the transmitter (No CSIT) and with perfect channel state information at the transmitter (Perfect CSIT) were considered for the application of a novel singular-value-decomposition-based (SVD-
Vinodh Kumar Minchula, G. Sasibhushana Rao   +1 more
doaj   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +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

Two dimensional Singular Value Decomposition (2D-SVD) based video coding [PDF]

2010 IEEE International Conference on Image Processing, 2010
In this paper, we propose a low-complexity video codec based on two-dimensional Singular Value Decomposition (2D-SVD). We exploit the common temporal characteristics of video without resorting to motion estimation. It has been demonstrated that this codec has higher coding efficiency than the relevant existing low complexity codecs.
Zhouye Gu, Weisi Lin, Bu-sung Lee, Chiew Tong Lau, Manoranjan Paul   +4 more
openaire   +1 more source

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

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

Intelligent online process fault diagnosis through integrating Andrews function, autoencoder, and neural networks

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract This paper proposes an online process fault diagnosis scheme that integrates principal component analysis, Andrews function, autoencoder, and multilayer feedforward neural network to enhance the fault diagnosis performance. Useful features are extracted from the online monitoring data by using Andrews function (also known as Andrews plot).
Shengkai Wang, Jie Zhang
wiley   +1 more source

Extracting analytic singular values from a polynomial matrix

Science Talks
A matrix of transfer functions is, in most cases, known to admit an analytic singular value decomposition (SVD), with singular values that are real-valued but potentially negative on the unit circle.
Faizan A. Khattak, Mohammed Bakhit, Ian K. Proudler, Stephan Weiss   +3 more
doaj   +1 more source