Results 21 to 30 of about 223,033 (309)
The Adequateness of Wavelet Based Model for Time Series [PDF]
, 2013 In general, time series is modeled as summation of known information i.e. historical information components, and unknown information i.e. random component. In wavelet based model, time series is represented as linear model of wavelet coecients. Wavelet
Rosadi, Dedi +3 more
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Beam-like damage detection methodology using wavelet damage ratio and additional roving mass
Fracture and Structural Integrity, 2022 Early damage detection plays an essential role in the safe and satisfactory maintenance of structures. This work investigates techniques that use only damaged structure responses.
Juliana C. Santos +5 more
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ComTech, 2014 Multicollinearity and outliers are the common problems when estimating regression model. Â Â Multicollinearitiy occurs when there are high correlations among predictor variables, leading to difficulties in separating the effects of each independent ...
Margaretha Ohyver, Herena Pudjihastuti
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Effective Wavelet Algorithm for an Automatic Detection of Atrial Fibrillation
Advances in Electrical and Computer Engineering, 2020 Cardiac anomalies are usually marked through irregular cardiac cycles. Atrial fibrillation is given through a rapid beating of the atria, announcing a possible heart failure or stroke. Electrocardiograms are an efficient way of supervising the electric
ARVINTI, B., ISAR, A., COSTACHE, M.
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ISPRS International Journal of Geo-Information, 2016 Global Positioning System (GPS) structural health monitoring data collection is one of the important systems in structure movement monitoring. However, GPS measurement error and noise limit the application of such systems. Many attempts have been made to
Mosbeh R. Kaloop +2 more
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Forecasting daily river flow using an artificial flora–support vector machine hybrid modeling approach (case study: Karkheh Catchment, Iran) [PDF]
Environmental Resources Research, 2020 In this study, a hybrid support vector machine–artificial flora algorithm method was developed to estimate the flow rate of Karkheh Catchment rivers using daily discharge statistics.
R. Dehghani +3 more
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Michigan Mathematical Journal, 1996 Let \(T\) and \(D\) be the translation and unitary dilation operators on \(L^2(\mathbb{R})\) given by \((Tf)(t)= f(t- 1)\) and \((Df)(t)=\sqrt 2f(2t)\). An orthogonal wavelet for a subspace \(X\) of \(L^2(\mathbb{R})\) is a unit vector \(\psi\in X\) such that \(\{D^nT^m\psi: n,m\in\mathbb{Z}\}\) is an orthonormal basis of \(X\).
Dai, Xingde, Lu, Shijie
openaire +3 more sources
Water Science and Technology, 2022 It is critical to use research methods to collect and regulate surface water to provide water while avoiding damage. Following accurate runoff prediction, principled planning for optimal runoff is implemented.
Potharlanka Jhansi Lakshmi +4 more
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Baltic Journal of Economics, 2019 This paper investigates how oil price changes affect consumer price inflation in eleven Central and Eastern European countries. We use a wavelet-based Markov switching approach in order to distinguish between the effects at different time horizons.
Dejan Živkov +2 more
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A hybrid wavelet-Lyapunov exponent model for river water quality forecast
Journal of Hydroinformatics, 2021 The use of spectral theory and chaos theory on river water quality modeling is reported in a very limited way. This study proposes a wavelet-maximum Lyapunov exponent (WMLE) hybrid model for river water quality dynamics, combining spectral theory and ...
Jiping Jiang +5 more
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