Results 21 to 30 of about 142,944 (242)
Identification method of excitation forces based on Kalman filter
Applied Mathematics in Science and Engineering, 2022 To identify the excitation forces of a vibration system, two identification methods are proposed, which take the displacement and acceleration responses of the system as input parameters.
Xiao-Ang Liu +5 more
doaj +1 more source
Seeded iterative clustering for histology region identification
CoRR, 2022 Annotations are necessary to develop computer vision algorithms for histopathology, but dense annotations at a high resolution are often time-consuming to make. Deep learning models for segmentation are a way to alleviate the process, but require large amounts of training data, training times and computing power.
Eduard Chelebian +2 more
openaire +2 more sources
Automatic species identification of live moths [PDF]
, 2007 A collection consisting of the images of 774 live moth individuals, each moth belonging to one of 35 different UK species, was analysed to determine if data mining techniques could be used effectively for automatic species identification. Feature vectors
Watson, Anna T., Mayo, Michael
core +1 more source
Algorithms, 2016 This paper discusses the parameter estimation problems of multi-input output-error autoregressive (OEAR) systems. By combining the auxiliary model identification idea and the data filtering technique, a data filtering based recursive generalized least ...
Jiling Ding
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Mathematics, 2022 For multi-phase batch processes with different dimensions whose dynamics can be described as a linear discrete-time-invariant system in each phase, a data-driven optimal ILC was explored using multi-operation input and output data that subordinate a ...
Yan Geng, Shouqin Wang, Xiaoe Ruan
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Fast iterative solvers for PDE-constrained optimization problems [PDF]
, 2013 In this thesis, we develop preconditioned iterative methods for the solution of matrix systems arising from PDE-constrained optimization problems. In order to do this, we exploit saddle point theory, as this is the form of the matrix systems we wish to ...
Pearson, John W
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Iterative method in the identification of block-oriented systems based on biconvex optimization [PDF]
, 2012 In this paper, we investigate the identification of the class of block-oriented nonlinear systems presented by Li et al. [2011] by using an iterative method. Firstly, a common model is proposed to represent such block-oriented systems.
Li, Guoqi +3 more
core +1 more source
An iterative method for parameter identification and shape reconstruction [PDF]
, 2010 An iterative strategy for the reconstruction of objects buried in a medium and the identification of their material parameters is analysed. The algorithm alternates guesses of the domains using topological derivatives with corrections of the parameters ...
Rapún Banzo, María Luisa +1 more
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A novel Fourier-based deconvolution algorithm with improved efficiency and convergence
Journal of Low Frequency Noise, Vibration and Active Control, 2020 Various deconvolution algorithms for acoustic source are developed to improve spatial resolution and suppress sidelobe of the conventional beamforming. To improve the computational efficiency and solution convergence of deconvolution, this paper proposes
Linbang Shen +3 more
doaj +1 more source
Performance Evaluation of Iterative Signal Design for System Identification [PDF]
, 2022 In this paper, iterative system identification is investigated where the amplitude spectra of the perturbation signals are optimised according to the present estimate of the model parameters.
Sarker, Md. Tanjil +3 more
core +1 more source