Search Results - (( development versus classification algorithm ) OR ( java automatic optimization algorithm ))
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Automatic Number Plate Recognition on android platform: With some Java code excerpts
Published 2016“…Hence, the objective of this research is to propose suitable and optimize algorithm for ANPR system on Android mobile phone. …”
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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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Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
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An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…Feature subset selection and classifier ensemble learning are familiar techniques with high ability to optimize above problems. Recently, various techniques based on different algorithms have been developed. …”
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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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9
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
