Search Results - (( java application stemming algorithm ) OR ( parametric extraction based algorithm ))
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Multiregion segmentation of mammogram images by using parametric kernel graph cut algorithm / Nurhanani Abdul Rahim, Nor Farah Nabilah Mushtafa and Nadhirah Afiqah Zailan
Published 2019“…Parametric Kernel Graph Cut Algorithm is an improvisation of the original Graph Cut. …”
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A block-based multi-scale background extraction algorithm
Published 2010“…In addition, an amended multi-scale algorithm is introduced. This algorithm is a hybrid algorithm, a combination of some nonparametric and parametric filters. …”
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Whitening of Background Brain Activity via Parametric Modeling
Published 2007“…In this paper, we investigate the whitening capabilities of two parametric techniques: a direct one based on Levinson solution of Yule-Walker equations, called AR Yule-Walker, and an indirect one based on the least-squares solution of forward-backward linear prediction (FBLP) equations, called AR-FBLP. …”
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Whitening of background brain activity via parametric modeling
Published 2007“…In this paper, we investigate the whitening capabilities of two parametric techniques: a direct one based on Levinson solution of Yule-Walker equations, called AR Yule-Walker, and an indirect one based on the least-squares solution of forward-backward linear prediction ( FBLP) equations, called AR-FBLP. …”
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Active vibration control of a flexible beam structure using chaotic fractal search algorithm
Published 2017“…Parametric modeling of the system was developed using auto-regressive exogenous (ARX) model structure based on the input-output data from previous experimental finding. …”
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Estimating Crack Effects on Electrical Characteristics of PV Modules Based on Monitoring Data and I-V Curves
Published 2024“…Meanwhile, an innovative parameter optimization algorithm based on particle swarm optimization is developed to extract the parameters. …”
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Oil palm mapping over Peninsular Malaysia using Google Earth Engine and machine learning algorithms
Published 2020“…In this study, 30 m Landsat 8 data were processed using a cloud computing platform of Google Earth Engine (GEE) in order to classify oil palm land cover using non-parametric machine learning algorithms such as Support Vector Machine (SVM), Classification and Regression Tree (CART) and Random Forest (RF) for the first time over Peninsular Malaysia. …”
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Development of warranty management visualisation for automotive aftermarket with integration of AI
Published 2026“…A four-phase methodology based on the Product Design Specification framework was employed: Information Collection, Concept Generation, Product Configuration, and Parametric Analysis. …”
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