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Keyword: Least Mean Square algorithm
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10 Pages, 5,683 KB Download PDF

Performance Analysis and Enhancement of Spline Adaptive Filtering based on Adaptive Step-size Variable Leaky Least Mean Square Algorithm

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 6, Page # 642–651, 2020; DOI: 10.25046/aj050678
Abstract:

This paper presents an adaptive step-size and variable leaky least mean square algorithm based on nonlinear adaptive filter with the adaptive lookup table using spline interpolation. An adaptive step-size approach is proposed with the energy of squared previous and present errors to boost up the convergence rate. A modified variable leaky mechanism is proposed with…

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(This article belongs to the SP10 (Special Issue on Multidisciplinary Sciences and Engineering 2020-21) & Section Interdisciplinary Applications of Computer Science (CSI))
Open AccessArticle
7 Pages, 923 KB Download PDF

PV Integrated Recursive Least Mean Square Estimation Based Shunt Active Power Filter

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 6, Page # 1171–1177, 2020; DOI: 10.25046/aj0506141
Abstract:

This paper proposes a photovoltaic (PV) integrated shunt active power filter (SAPF) for reactive power compensation, uneven loading and compensation of harmonic current. The control of SAPF is implemented by using adaptive based current estimation algorithm to maintain power factor near to unity and source current sinusoidal at source side. The weights are calculated online…

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(This article belongs to the SP9 (Special Issue on Multidisciplinary Innovation in Engineering Science & Technology 2020) & Section Electrical Engineering (ELE))
Open AccessArticle
9 Pages, 827 KB Download PDF

Medical imbalanced data classification

Advances in Science, Technology and Engineering Systems Journal, Volume 2, Issue 3, Page # 116–124, 2017; DOI: 10.25046/aj020316
Abstract:

In general, the imbalanced dataset is a problem often found in health applications. In medical data classification, we often face the imbalanced number of data samples where at least one of the classes constitutes only a very small minority of the data. In the same time, it represent a difficult problem in most of machine…

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(This article belongs to the SP3 (Special issue on Recent Advances in Engineering Systems 2017) & Section Artificial Intelligence in Computer Science (CAI))

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