Search Results - (( based applications ((out algorithm) OR (means algorithm)) ) OR ( _ application a 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. While a rather simplistic and dated algorithm, it remains widely used and taught till this day. …”
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Tracking The Eyes Using Interdependence Mean Shift Tracking Algorithm With Appropriate Information Provided
Published 2016“…The human eye tracking algorithm is very important, especially in the facial analysis application. …”
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Partitional clustering algorithms for highly similar and sparseness y-short tandem repeat data / Ali Seman
Published 2013“…Out of six data sets, the &-AMH algorithm obtained the highest mean accuracy scores for the five data sets and one data set was at equal performance. …”
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Support Vector Machines (SVM) in Test Extraction
Published 2006“…Summarization is part of text categorization whereby it is considered an essential part of today's information-led society, and it has been a growing area of research for over 40 years. This project's objective is to create a summarizer, or extractor, based on machine learning algorithms, which are namely SVM and K-Means. …”
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Final Year Project -
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Support Vector Machines (SVM) in Test Extraction
Published 2006“…Summarization is part of text categorization whereby it is considered an essential part of today's information-led society, and it has been a growing area of research for over 40 years. This project's objective is to create a summarizer, or extractor, based on machine learning algorithms, which are namely SVM and K-Means. …”
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Final Year Project -
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Automated plant recognition system based on multi-objective parallel genetic algorithm and neural network
Published 2014“…To conclude, multi objective parallel genetic algorithm can automatically tune feed forward neural network to classify the dataset with a good classification rate.…”
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Design and optimization of Levenberg-Marquardt based Neural Network Classifier for EMG signals to identify hand motions
Published 2013“…Different structures of neural network, based on the number of hidden neurons and two prominent training algorithms, have been considered in the research to find out their applicability for EMG signal classification. …”
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Fuzzy clustering method and evaluation based on multi criteria decision making technique
Published 2018“…A similar degree between points was utilized to get similarity density, and then by means of maximum density points selecting them as weights of the Kohonen algorithm. …”
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Thesis -
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Fuzzy genetic algorithms for combinatorial optimisation problems
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Thesis -
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A new hybrid multiaxial fatigue life model based on critical plane continuum damage mechanics and genetic algorithm
Published 2015“…The model is simple in application with the use of genetic algorithm for model calibration making use of only the material fatigue limit. …”
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Thesis -
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A customized non-exclusive clustering algorithm for news recommendation systems
Published 2019“…Clustering is one of the main tasks in machine learning and data mining and is being utilized in many applications including news recommendation systems. In this paper, we propose a new non-exclusive clustering algorithm named Ordered Clustering (OC) with the aim is to increase the accuracy of news recommendation for online users. …”
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Single Frame Profilometry With Rapid Phase Demodulation On Colour-Coded Fringes
Published 2019“…The findings prove that the proposed concept is applicable and provides an alternative method for conventional fringe analysis techniques such as transform-based algorithms or phase-shifting algorithms to advance high-speed 3D profilometry.…”
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Thesis -
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Improved Switching-Basedmedian Filter For Impulse Noise Removal
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Modeling flood occurences using soft computing technique in southern strip of Caspian Sea Watershed
Published 2012“…The hidden layer includes 1 layer with different neurons. Based on the mentioned criteria several scenarios were defined and compared which resulted to a structure of 8-10-1 with the Levenberg-Marquardt (LM) as the training algorithm and logistic sigmoid function in the output layer. …”
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