Results 101 to 110 of about 3,141,474 (179)

Design‐Assisted Chemometric UV Spectrophotometric Determination of Candesartan Cilexetil, Chlorthalidone and Amlodipine Using Principal Component Regression, Partial Least Squares and Genetic Algorithm‐Partial Least Squares Models

Analytical Science Advances, Volume 7, Issue 2, December 2026.
ABSTRACT This study presents a sustainable chemometric‐assisted UV spectrophotometric strategy for the simultaneous determination of candesartan cilexetil (CAN), chlorthalidone (CTL) and amlodipine (AML) in laboratory‐prepared mixtures and commercial pharmaceutical formulations.
Khanda F. M. Amin, Samar H. Elagamy, Reem H. Obaydo, Hayam M. Lotfy   +3 more
wiley   +1 more source

Using Subspace Methods for Estimating ARMA Models for Multivariate Time Series with Conditionally Heteroskedastic Innovations [PDF]

This paper deals with the estimation of linear dynamic models of the ARMA type for the conditional mean for time series with conditionally heteroskedastic innovation process widely used in modelling financial time series.
Dietmar Bauer
core  

The Tunnel Structural Mode Frequency Characteristics Identification and Analysis Based on a Modified Stochastic Subspace Identification Method

Shock and Vibration, 2018
With the rapid development of underground engineering in China, the heavy structural maintenance work followed is expected to be a great challenge in the future.
Biao Zhou, Xiongyao Xie, Xiaojian Wang
doaj   +1 more source

Stochastic Gradient Descent in High Dimensions for Multi‐Spiked Tensor PCA

Communications on Pure and Applied Mathematics, Volume 79, Issue 10, Page 2291-2369, October 2026.
ABSTRACT We study the high‐dimensional dynamics of online stochastic gradient descent (SGD) for the multi‐spiked tensor model. This multi‐index model arises from the tensor principal component analysis (PCA) problem with multiple spikes, where the goal is to estimate the unknown signal vectors within the N$N$‐dimensional unit sphere through maximum ...
Gérard Ben Arous, Cédric Gerbelot, Vanessa Piccolo   +2 more
wiley   +1 more source

Bilinear Subspace Identification of Induction Motor Dynamic Characteristics

, 2004
The inherent properties of the induction motor of multivariate, strong coupling and nonlinearity result that the mechanism model cannot describe motor characteristics accurately.
Yu HB(于海斌), Yuan DC(袁德成), Fan LP(樊立萍)   +2 more
core  

Cross‐Entropy of Power Spectral Density Function: A Modal Identification Framework

Earthquake Engineering &Structural Dynamics, Volume 55, Issue 12, Page 3012-3028, 10 October 2026.
ABSTRACT The power spectral density (PSD) function of measured structural response contains a significant amount of information, including the modal parameters (natural frequencies, damping ratios). Output‐only system identification or modal identification technique can be used for extracting such modal parameters from the measured response or its ...
Su‐Hong Kim, Jae‐Seung Hwang, Dae‐Kun Kwon, Ahsan Kareem   +3 more
wiley   +1 more source

Forecasting VARMA processes using VAR models and subspace-based state space models [PDF]

VAR modelling is a frequent technique in econometrics for linear processes. VAR modelling offers some desirable features such as relatively simple procedures for model specification (order selection) and the possibility of obtaining quick non-iterative ...
del Hoyo, Juan, Hernández, Cesáreo, Izquierdo, Segismundo S.   +2 more
core  

Modal identification of Bridge 44 of the Carajás Railroad and numerical modeling using the finite element method

Revista IBRACON de Estruturas e Materiais
Regular use and the effects of time can affect the behavior of a structure. Over time, problems such as the occurrence of small fissures, oxidation of steel elements, and excessive displacements at some points may arise in a structure.
M. S. SILVA, F. A. NEVES
doaj   +2 more sources

A Chance‐Constrained Model for a Production Routing Problem With Uncertain Availability of Vehicles

Networks, Volume 88, Issue 3, Page 295-312, October 2026.
ABSTRACT The Production Routing Problem (PRP) is a complex integrated problem that allows for the achievement of competitive advantages, such as better management of inventory, reduction in operational costs and lead times, improvement in efficiency and customer service, and better response to market changes.
Alline Zanette, Michel Gendreau, Walter Rei   +2 more
wiley   +1 more source

Deterministic identification of lossless and dissipative systems

, 2010
We illustrate procedures to identify a state-space representation of a passive or bounded-real system from noise-free measurements. The basic idea underlying our algorithms is to obtain a state sequence from a rank-revealing factorization of a Gramian ...
Rapisarda, Paolo, Trentelman, Harry L.
core   +1 more source