Results 61 to 70 of about 71,044 (233)

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

An Aggregative High-Order Singular Value Decomposition Method in Edge Computing

IEEE Access, 2020
In edge computing, for dimensionality reduction and core data extraction, both edge computing node (ECN) and cloud server may implement a high-order singular value decomposition (HOSVD) algorithm before data are passed to local computing models. However,
Junhua Chen, Ping Wang, Chenggen Pu, Qingqing Huang   +3 more
doaj   +1 more source

Implementasi Watermarking pada Citra Digital dengan Metode Singular Value Decomposition (svd)

JEJARING : Jurnal Teknologi dan Manajemen Informatika, 2021
Today computers have been used in all aspects of life as a means of processing digital data. The Development of computer makes digital files mostly used because the computer is an electronic equipment used to process digital file. Moreover with network technology developments internet it enables file exchange and process the file.This ease impacts to ...
Aah Sumiah, Yan Alfian
openaire   +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

Mimo Systems Low complexity SVD Implementation Analysis [PDF]

, 2008
This paper analyses the implementation of the singular value decomposition (SVD) using approximation to the exact computation for MIMO systems in the case of modulation-mode and power assignment set-up. The study developed in the paper focuses on the use
Arriero Encinas, Luis, Benavente Peces, César, Ortega González, Francisco Javier, Osés del Campo, David, Pardo Martin, José Manuel   +4 more
core  

Determination of Broadening Functions using the Singular Value Decomposition (SVD) Technique [PDF]

International Astronomical Union Colloquium, 1999
AbstractThe cross-correlation function (CCF) has become the standard tool for extraction of radial-velocity and broadening information from high resolution spectra. It permits integration of information which is common to many spectral lines into one function which is easy to calculate, visualize and interpret. However, the CCF is not the best tool for
openaire   +2 more sources

Ground‐ and Excited‐State Mixed Valency in a 4,4′‐Bipyridine‐Bridged Bimetallic Di‐Ruthenium Complex

European Journal of Inorganic Chemistry, EarlyView.
Photoinduced mixed‐valence interactions across a 4,4′‐bpy bridge were studied. MLCT excited states in the bimetallic complex are longer‐lived than in the monometallic reference, thanks to metal–metal electronic coupling and hole delocalization, but are still shorter than the nanosecond timescale relevant for diffusional reactivity.
Ivana Ramírez‐Wierzbicki, Frank W. Heinemann, Leonardo D. Slep, Alejandro Cadranel   +3 more
wiley   +1 more source

An Out of Memory tSVD for Big-Data Factorization

IEEE Access, 2020
Singular value decomposition (SVD) is a matrix factorization method widely used for dimension reduction, data analytics, information retrieval, and unsupervised learning.
Hector Carrillo-Cabada, Erik Skau, Gopinath Chennupati, Boian Alexandrov, Hristo Djidjev   +4 more
doaj   +1 more source

Local Polynomial Regression and Filtering for a Versatile Mesh‐Free PDE Solver

International Journal for Numerical Methods in Fluids, EarlyView.
A high‐order, mesh‐free finite difference method for solving differential equations is presented. Both derivative approximation and scheme stabilisation is carried out by parametric or non‐parametric local polynomial regression, making the resulting numerical method accurate, simple and versatile. Numerous numerical benchmark tests are investigated for
Alberto M. Gambaruto
wiley   +1 more source

A blind watermarkingalgorithm based on DWT and SVD

Journal of Measurement Science and Instrumentation, 2014
This paper presents a new digital image blind watermarking algorithm based on combination of discrete wavelet transform（DWT）and singular value decomposition（SVD）.First of all,we make wavelet decomposition for the original image and divide the acquired ...
XUAN Chun-qing, XUAN Zhi-wei, ZHANG Xia, CHEN Bao-li   +3 more
doaj