Search Results - (( java implementation means algorithm ) OR ( work activation function algorithm ))
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A web-based implementation of k-means algorithms
Published 2022“…The K-means algorithm has been around for over a century. …”
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Final Year Project / Dissertation / Thesis -
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Comparison of Search Algorithms in Javanese-Indonesian Dictionary Application
Published 2020“…This study aims to compare the performance of Boyer-Moore, Knuth morris pratt, and Horspool algorithms in searching for the meaning of words in the Java-Indonesian dictionary search application in terms of accuracy and processing time. …”
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Journal -
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Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…This project will use fuzzy k-means clustering algorithm to cluster the data because it is easy to implement and have many advantages. …”
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Thesis -
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Biometrics electronic purse
Published 1999“…This paper looked into using biometrics as a mean of authentication, thus requiring a new generation of Smart Card technology to be implemented in banking and multiple applications environment. …”
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Proceeding Paper -
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Shunt active power filter using hybrid fuzzy-proportional and crisp-integral control algorithms for total harmonic distortion improvement
Published 2016“…Utilization of soft-computing algorithms in the operation of Shunt Active Power Filters (SAPFs) becomes a latest trend. …”
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Thesis -
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Movie recommendation system / Najwa Syamimie Hasnu
Published 2020“…PHPMyAdmin is used to store the dataset and also acts as a database for user information. The algorithm chosen was implemented using Java Programming language and was tested using Root Means Square Error (RMSE) formula.…”
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Thesis -
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Discrimination of pathological voices using systole activated neural network
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Working Paper -
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Image clustering comparison of two color segmentation techniques
Published 2010“…This project proposed a two color segmentation techniques such as K-means and Fuzzy C-means clustering algorithm that are accurately segment the desired images, which have the same color as the pre-selected pixels with background subtraction. …”
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Thesis -
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Effort Estimation Model for Function Point Measurement
Published 2007“…Generally, most of the algorithmic models were generated based on historical projects, and therefore, the same methodology has been applied in this research work. …”
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Thesis -
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Nonlinear adaptive algorithm for active noise control with loudspeaker nonlinearity
Published 2014“…Adaptive algorithms are prevalently applied in the design of nonlinear active noise control (ANC) system. …”
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Thesis -
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Nonlinear THF-FXLMS algorithm for active noise control with loudspeaker nonlinearity
Published 2016“…Adaptive algorithms are prevalently applied in the design of nonlinear active noise control (ANC) systems. …”
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Performance comparison of LFXLMS, MOVFXLMS and THF-NLFXLMS algorithms for Hammerstein NANC
Published 2016“…In previous works, Tangential Hyperbolic Function NLFXLMS (THF-NLFXLMS) algorithm has been developed whereby the degree of nonlinearity is estimated using tangential hyperbolic function (THF). …”
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Conference or Workshop Item -
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Real time nonlinear filtered-x lms algorithm for active noise control
Published 2012“…The NLFXLMS algorithm is a stochastic gradient algorithm that incorporates the derivative of a nonlinear plant model which is represented by the scaled error function (SEF) in the controller design. …”
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Thesis -
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Jogging activity recognition using k-NN algorithm
Published 2022“…The objective of this project are 1) to investigate human activity recognition (HAR) for jogging activity and k-Nearest Neighbors (k-NN) algorithm for jogging classifier, 2) to apply HAR AND k-NN for jogging recognition and classification and, 3) to test the functionality of the k-NN algorithm of jogging recognition and classification. …”
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Academic Exercise -
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Developing A Control Protocol Algorithm For Stimulating The Street Light System
Published 2017“…Based on the previous research and previous works, the automatic street lighting system is only considered by using Light Dependent Resistor (LDR) to activate the system. …”
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Monograph -
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Adaptive linear neural network approach for three-phase four-wire active power filtering under non-ideal grid and unbalanced load scenarios
Published 2019“…Hence, in this work, a control algorithm (named as enhanced-ADALINE) which combines the strength of highly selective filter (HSF), ADALINE concept and averaging function is proposed, to manage harmonics mitigation by shunt active power filter (SAPF) under non-ideal grid and unbalanced load scenarios. …”
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Article -
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A comparative study of multi-objective optimal power flow based on particle swarm, evolutionary programming, and genetic algorithm
Published 2015“…This study presents the programming results of the nine essential single-objective and multi-objective functions of OPF problem. The considered objective functions include cost, active power loss, voltage stability index, and emission. …”
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