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149 results for “Wavelet”
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Research ArticleOpen accessIn the abstractMultiresolution Analysis Based Effective Diagnosis of Induction MotorsHouda Ben Attia Sethom, Mediha Ajjabi GhedamsiProblem statement: Effective detection and localization of unbalance voltage supply affecting an induction motor may be compromised in presence of additionnal noise. Approach: In order to overcome the non possibility of the default detection and localization in presence of noise, the use of the discrete wavelet transform and especially the MultiResolution Analysis algorithm, to remove efficiently the noise associated to … …American Journal of Applied Sciences, Vol. 9, Issue 5 · 20 Feb 2012 · 8,102 accessesView PDFCite
Research ArticleOpen accessIn the abstractReliability Assessment of Buckling Strength for Compressed Cylindrical Shells with Interacting Localized Geometric ImperfectionsJalal El Bahaoui, Abdellatif Khamlichi, Larbi El Bakkali, Ali LimamProblem statement: Elastic cylindrical shells are common structures in the fields of civil engineering and engineering mechanics. These thin-walled constructions may undergo buckling when subjected to axial compression. Buckling limits to large extent their strength performance. This phenomenon depends hugely on the initial distributed or localized geometric imperfections that are present on the shell structure. Localized geometric imperfections result in … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 4 · 4 Nov 2010 · 8,320 accessesView PDFCite
Research ArticleOpen accessIn the abstractSeasonal Time Series Data Forecasting by Using Neural Networks Multiscale Autoregressive ModelSuhartono, B. S.S. Ulama, A. J. EndhartaProblem statement: The aim of this research was to study further some latest progress of wavelet transform for time series forecasting, particularly about Neural Networks Multiscale Autoregressive (NN-MAR). Approach: There were three main issues that be considered further in this research. The first was some properties of scale and wavelet coefficients from Maximal Overlap Discrete Wavelet Transform (MODWT) decomposition, particularly … …American Journal of Applied Sciences, Vol. 7, Issue 10 · 31 Oct 2010 · 7,751 accessesView PDFCite
Research ArticleOpen accessIn the abstractParallel Approach for Content Based Medical Image Retrieval SystemM. Emmanuel, D.R. Ramesh Babu, Jayashree Jagdale et al.Problem statement: Parallel implementation of a CBIR system for medical applications due to the rapid progress in the technologies for obtaining and storing digital images for diagnostic purposes in medicine. Approach: For feature extraction Wavelet decomposition was used for texture, global color histograms for color and novel wavelet based approach for shape feature extraction. The system had been implemented in … …Journal of Computer Science, Vol. 6, Issue 11 · 23 Oct 2010 · 7,631 accessesView PDFCite
Research ArticleOpen accessIn the abstractSuccessive Image Interpolation Using Lifting Scheme ApproachRohini S. Asamwar, Kishor Bhurchandi, A. S. GandhiProblem statement: Fast and accurate interpolation and resizing of images and video frames is a much sought after research area in multimedia applications. The more accurate schemes are computationally expensive and require more time for execution. We proposed here Discrete Wavelet Transform (DWT) using lifting scheme as an accurate and computationally inexpensive interpolation technique for image resizing. Approach: In this … …Journal of Computer Science, Vol. 6, Issue 9 · 30 Sep 2010 · 7,573 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetection and Diagnostic Approach of COVID-19 Based on Cough Sound AnalysisMuzhir Shaban Al-Ani, Thabit Sultan Mohammed, Awni Ismail Sultan et al.Coronavirus (COVID-19) started at the end of 2019 and then spread out around the world as a pandemic at the beginning of 2020. At that time, researchers began to work on detecting and diagnosing this virus, where many methods have been applied for this reason. This study focuses on how to diagnose coronavirus through patients’ cough. Accordingly, real samples were … …Journal of Computer Science, Vol. 17, Issue 6 · 29 Jun 2021 · 7,803 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Review of the Recent Advances Made in the Black-Scholes Models and Respective Solutions MethodsYasir Hamad Al Saedi, Gurudeo Anand TularamThe Black-Scholes model has been a major advance in finance over a period of time; this paper examines this model in some detail, in terms of the latest developments in both analytical and numerical solutions. The paper initially briefly examines historical aspects but quickly moves to a critical analysis of the works in the applications, solutions and implications for the … …Journal of Mathematics and Statistics, Vol. 14, Issue 1 · 8 Jan 2018 · 8,621 accessesView PDFCite
Research ArticleOpen accessIn the abstractPlane Versus Elastic Wave AVO Anisotropic Synthetic Modeling in Derby Field, Southeastern Niger DeltaChukwuemeka Ngozi Ehirim, Nnamdi Ogbonna ChikezieAVO based Zoeppritz’s plane wave and elastic spherical wave anisotropic synthetic modelling have been investigated in Derby field, Southeastern Niger delta. The objective of the study is to investigate the influence of anisotropy on plane and elastic wave AVO synthetics modeling over shale-gas sand horizons in the field. Well log data was check shot corrected and correlated with pre-stack data … …Current Research in Geoscience, Vol. 7, Issue 1 · 6 May 2017 · 7,896 accessesView PDFCite
Research ArticleOpen accessIn the abstractRandom Forest Classification and Support Vector Machine for Detecting Epilepsyusing Electroencephalograph RecordsHeri Kuswanto, Mutiah Salamah, Muhammad Idrus FachruddinComplexity in data structure has led to the rapid development of computational statistics methods. Machine learning approaches have been introduced and applied to solve complex problems in many fields. This paper applies two common machine learning approaches, Random Forest (RF) and Support Vector Machine (SVM), in the detection of epilepsy. The diagnosis of epilepsy can usually only be made when … …American Journal of Applied Sciences, Vol. 14, Issue 5 · 4 May 2017 · 8,134 accessesView PDFCite
Research ArticleOpen accessIn the abstractA GAUSSIAN MIXTURE MODEL FOR CLASSIFYING THE HUMAN AGE USING DWT AND SAMMON MAPJ. Nithyashri, G. KulanthaivelThe appearance of a human face rigorously changes with respect to age that makes Age Classification as a more challenging task. The algorithms such as, K-Nearest Neighbor (K-NN), Support Vector Machine (SVM), Radial Basis Function (RBF), motivated many Face Researchers to focus their attention in classifying the human age into various age groups. The Classification rate produced by these existing … …Journal of Computer Science, Vol. 10, Issue 11 · 20 Dec 2014 · 7,707 accessesView PDFCite