Results 1 to 10 of about 48,101,502 (271)

Fault Protection in Microgrid Using Wavelet Multiresolution Analysis and Data Mining

open access: yesIEEE Access, 2021
The protection problems in microgrid effect the reliability of the power system caused due to high distributed generator penetrations. Therefore, fault protection in microgrid is extremely important and needs to be resolved to enhance the robustness of ...
Shazia Baloch   +2 more
doaj   +2 more sources

Concrete Cracks Detection and Monitoring Using Deep Learning-Based Multiresolution Analysis

open access: yesElectronics (Switzerland), 2021
In this paper, we propose a new methodology for crack detection and monitoring in concrete structures. This approach is based on a multiresolution analysis of a sample or a specimen of concrete material subjected to several types of solicitation.
Abdeldjalil Ouahabi   +1 more
exaly   +2 more sources

Multiresolution analysis and Zygmund dilations [PDF]

open access: yesAmerican Journal of Mathematics, 2022
:Zygmund dilations are a group of dilations lying in between the standard product theory and the one-parameter setting -- in $\mathbb{R}^3=\mathbb{R}\times\mathbb{R}\times\mathbb{R}$ they are the dilations $(x_1,x_2,x_3)\mapsto (\delta_1 x_1,\delta_2 x_2,
T. Hytönen   +3 more
semanticscholar   +3 more sources

Combining Deep Learning and Multiresolution Analysis for Stock Market Forecasting

open access: yesIEEE Access, 2021
Due to its complexity, financial time-series forecasting is regarded as one of the most challenging problems. During the past two decades, nonlinear modeling techniques, such as artificial neural networks, were commonly employed to solve a variety of ...
Khaled A. Althelaya   +2 more
doaj   +2 more sources

Textural segmentation of remotely sensed images using multiresolution analysis for slum area identification

open access: yesEuropean Journal of Remote Sensing, 2019
Many cities in developing countries are facing rapid growth of dynamic slum areas but often lack detailed information and analysis on these informal settlements. Multiresolution analysis (MRA) has been successfully used in texture analysis.
Rizwan Ahmed Ansari   +1 more
doaj   +2 more sources

Classification of motor imagery tasks for BCI with multiresolution analysis and multiobjective feature selection. [PDF]

open access: yesBiomed Eng Online, 2016
Brain-computer interfacing (BCI) applications based on the classification of electroencephalographic (EEG) signals require solving high-dimensional pattern classification problems with such a relatively small number of training patterns that curse of ...
Ortega J   +3 more
europepmc   +2 more sources

Multiresolution analysis of arbitrary meshes [PDF]

open access: yesProceedings of the 22nd annual conference on Computer graphics and interactive techniques - SIGGRAPH '95, 1995
In computer graphics and geometric modeling, shapes are often represented by triangular meshes. With the advent of laser scanning systems, meshes of extreme complexity are rapidly becoming commonplace.
M. Eck   +5 more
semanticscholar   +2 more sources

Multiresolution-analysis for stochastic hyperbolic conservation laws [PDF]

open access: yesIMA Journal of Numerical Analysis, 2022
A multiresolution analysis (MRA) for solving stochastic conservation laws is proposed. Using a novel adaptation strategy and a higher-dimensional deterministic problem, a discontinuous Galerkin (DG) solver is derived.
M. Herty, Adrian Kolb, S. Müller
semanticscholar   +1 more source

Vector-Valued Nonuniform Multiresolution Associated with Linear Canonical Transform [PDF]

open access: yesITM Web of Conferences, 2022
A multiresolution analysis associated with linear canonical transform was defined by Shah and Waseem for which the translation set is a discrete set which is not a group.
Dar Aamir H.
doaj   +1 more source

Vibration Signal Processing for Multirotor UAVs Fault Diagnosis: Filtering or Multiresolution Analysis?

open access: yesEksploatacja I Niezawodnosc-maintenance and Reliability, 2023
In the modern technological advancements, Unmanned Aerial Vehicles (UAVs) have emerged across diverse applications. As UAVs evolve, fault diagnosis witnessed great advancements, with signal processing methodologies taking center stage.
L. Al-Haddad   +4 more
semanticscholar   +1 more source

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