Search Results - (( program estimation using algorithm ) OR ( java application means algorithm ))
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JTAGGER
Published 2006“…In this project, rule-based tagging algorithm is used as the mechanism to develop the system which named JTagger. …”
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Final Year Project -
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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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Explicit solution of parameter estimate using multiparametric programming for boost converter
Published 2023“…This work proposes an approach to estimate the parameters of capacitance and inductance in a boost converter using an explicit solution. …”
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Conference or Workshop Item -
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Vegetation height estimation near power transmission poles via satellite stereo images using 3D depth estimation algorithms
Published 2015“…We have compared the results of Pleiades satellite stereo images using dynamic programming and Graph-Cut algorithms, consequently comparing satellites’ imaging sensors and Depth-estimation Algorithms. …”
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Conference or Workshop Item -
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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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Evaluation of dynamic programming among the existing stereo matching algorithms
Published 2015“…The dynamic programming algorithm used on this research is the current method as its disparity estimates at a particular pixel and all the other pixels unlike the old methods which with scanline based of dynamic programming. …”
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Article -
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New algorithm for attitude and orbit determination using magnetic field measurements
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Proceeding Paper -
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Control algorithm for two-tank system using multiparametric programming
Published 2023“…In conclusion, the implementation of multiparametric programming is able to estimate the value of the output for the control algorithm of the two-tank system.…”
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Conference or Workshop Item -
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Automatic security evaluation of SPN-structured block cipher against related-key differential using mixed integer linear programming
Published 2019“…We present a searching strategy that determines the lower bounds of SPN block ciphers structure against RDC using the Mixed Integer Linear Programming (MILP). …”
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Article -
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Vegetation height estimation near power transmission poles via satellite stereo images using 3D depth estimation algorithms
Published 2023Conference Paper -
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Mining Sequential Patterns using I-PrefixSpan
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Citation Index Journal -
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The Effect Of Reparameterisation On The Behaviour Of Nonlinear Estimates
Published 2000“…The estimates of the para meters were calculated by using the Gauss-Newton algorithm in SPLUS Programming Language. …”
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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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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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Simulation of shortest path using a-star algorithm / Nurul Hani Nortaja
Published 2004“…The steps to calculate a shortest path using A • algorithm is shown by using appropriate examples and related figures. …”
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Thesis -
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Parameter estimation of multivariable system using Fuzzy State Space Algorithm / Razidah Ismail … [et al.]
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Research Reports -
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Long-term electrical energy consumption: Formulating and forecasting via optimized gene expression programming / Seyed Hamidreza Aghay Kaboli
Published 2018“…In the developed feature selection approach, multi-objective binary-valued backtracking search algorithm (MOBBSA) is used as an efficient evolutionary search algorithm to search within different combinations of input variables and selects the non-dominated feature subsets, which minimize simultaneously both the estimation error and the number of features. …”
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Thesis
