Search Results - (( development versus classification algorithm ) OR ( java application optimisation algorithm ))
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Realization Of The 1D Local Binary Pattern (LBP) Algorithm In Raspberry Pi For Iris Classification Using K-NN Classifier
Published 2018“…The performance of the one versus many classification is affected by the 1D-LBP based information and the value of K in K-NN classifier. …”
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Agarwood oil quality classification using one versus all strategies in multiclass on SVM model / Aqib Fawwaz Mohd Amidon … [et al.]
Published 2021“…With that, it is very important to come out with a standard of quality classification model for agarwood oil grading’s. By continuing developing this standard, specific algorithm function has been used to make sure the ability of this model is totally not in doubt. …”
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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Web-based expert system for material selection of natural fiber- reinforced polymer composites
Published 2015“…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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Adaptive resonance theory-based hand movement classification for myoelectric control system
Published 2014“…Despite there has been a great development in prosthetic hand industry during the last decade, it is considerably needed to investigate an effective control algorithm for affordable prosthetic hand. …”
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Adaptive Selection Of KLSE Stocks Using Neural Networks
Published 2002“…A promising classification competency of 80 percent correctness is recorded after the network is iteratively trained for 6000 epochs. …”
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An improved recommender system based on normalization of matrix factorization and collaborative filtering algorithms
Published 2015“…There are three categories of evaluation of RS predictive accuracy metrics, classification accuracy metrics and rank accuracy metrics. …”
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Thesis