Search Results - (( adaptive k difference estimation algorithm ) OR ( adaptive _ differences estimation algorithm ))
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Apply and optimize machine learning algorithms for estimating battery health
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Final Year Project / Dissertation / Thesis -
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Adaptive Similarity Component Analysis in Nonparametric Dynamic Environment
Published 2011“…Consequently, the proposed adaptive feature extraction technique and neighborhood-based classifier family are tightly integrated in an adaptive K-nearest neighbor classifier.…”
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Thesis -
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Advancing Predictive Maintenance: Median-Based Particle Filtering in MOSFET Prognostics
Published 2025“…The model used a genetic algorithm to control when and how many particles were adaptively resampled applying different weighted strategies (mean or median) in response of the stochastic system deterioration. …”
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Performance Modeling And Size Optimization Of A Standalone Photovoltaic System
Published 2013“…The adapted global radiation model is different from available models as it incorporates the site specific and environmnetal parameters, which considered as influential input variables. …”
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Thesis -
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A memory-guided Jaya algorithm to solve multi-objective optimal power flow integrating renewable energy sources
Published 2025“…This work explores the adaptation of the standard IEEE-30 bus system by incorporating renewable energy sources as a case study. …”
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Techno-economic evaluation of off-grid hybrid renewable energy system for rural resort electrification in Malaysia / Monowar Hossain
Published 2017“…Hybrid Optimization Model for Electric Renewable (HOMER) software is used for economic and technical analysis of the proposed hybrid renewable energy system. The estimated peak and average load per day for the resort are 1,185 kW and 13,048 kW respectively. …”
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Thesis -
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Digital quadrature compensators scheme for analog imperfections of quadrature modulator in wireless communication systems
Published 2016“…Adaptive algorithms used to estimate the QM’s imperfections, operate either in online or offline mode. …”
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Thesis -
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LASSO-type estimations for threshold autoregressive and heteroscedastic time series models.
Published 2020“…A new algorithm of coordinate gradient descent (CGD) is developed to optimize the adaptive LASSO. …”
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UMK Etheses -
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Time-domain adaptive channel estimation for OFDM-based WLAN with multiple-antennas
Published 2008“…In this paper, an adaptive time-domain (TD) channel estimation scheme, based on recursive least squares (RLS) algorithm, is proposed for multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) based wireless local area networks (WLANs). …”
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Conference or Workshop Item -
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Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh
Published 2015“…The second taxonomy is a new taxonomy proposed to classify the adaptive DE algorithms in particular into two categories (DE with adaptive parameters and DE with adaptive parameters and strategies) considering the adaptive components used in this algorithm. …”
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Thesis -
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Sensorless Adaptive Fuzzy Logic Control Of Permanent Magnet Synchronous Motor
Published 2008“…The design and optimisation of the FLC are carried out using an adaptive fuzzy inference system network that uses the backpropagation, least square and gradient algorithms. …”
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Thesis -
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Adaptive framed pseudo-Bayesian Aloha algorithm with priorities
Published 2000“…A new wireless framed pseudo-bayesian Aloha algorithm with adaptive priorities, for wireless ATM reservation-based TDMA MAC prolocols, is presented. …”
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Article -
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Speed sensorless control of permanent magnet synchronous motor using model reference adaptive system and artificial neural network / Abdul Mu’iz Nazelan
Published 2019“…However, conventional adaptation scheme such as PI controller reduce the estimation accuracy for speed and position of the PMSM. …”
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Thesis -
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Integrated optimal control and parameter estimation algorithms for discrete-time nonlinear stochastic dynamical systems
Published 2011“…This thesis describes the development of an efficient algorithm for solving nonlinear stochastic optimal control problems in discrete-time based on the principle of model-reality differences. …”
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