Search Results - (( java segmentation using algorithm ) OR ( using work groups algorithm ))
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1
Image clustering comparison of two color segmentation techniques
Published 2010“…Finally, the algorithm found, which would solve the image segmentation problem.…”
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Thesis -
2
Automatic Number Plate Recognition on android platform: With some Java code excerpts
Published 2016“…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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Book -
3
Development of seven segment display recognition using TensorFlow on Raspberry Pi
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Proceeding Paper -
4
A method for group formation using genetic algorithm
Published 2010“…Due to the increasing of complexity in software projects, group work is becoming more important in order to ensure quality software products can be delivered on time.Thus, in universities, group work is seen as a good preparation for students to enter industry because by working in group, it can reduce the individual workload, improve the ability to manage a project and enhance the problem solving skills. …”
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Article -
5
Group formation using genetic algorithm
Published 2009“…Due to the increasing of complexity in software projects, group work is becoming more important in order to ensure quality software products can be delivered on time.Thus, in universities, group work is seen as a good preparation for students to industry because by working in group, it can reduce the individual workload,improve the ability to manage a project and enhance the problem solving skills. …”
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Monograph -
6
Optimal location and size estimation of distributed generators by employing grouping particle swarm optimization and grouping genetic algorithm
Published 2017“…This work is aimed to decrease the total real and reactive power losses while enhancing the voltage profile of the distribution network with less computation time by proposing two new artificial intelligence algorithms, i.e. grouping particle swarm optimization algorithm and grouping genetic algorithm. …”
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7
A new cryptographic algorithm based on decomposition problem in elliptic curve cryptography / Hilyati Hanina Zazali
Published 2012“…The algorithms work by arranging parameters using finite field group in elliptic curve E. …”
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8
An algorithm to group defects on printed circuit board for automated visual inspection
Published 2008“…Hence, this study proposes an algorithm to group the defects found on bare PCB. Using a synthetically generated PCB image, the algorithm is able to group 14 commonly known PCB defects into five groups. …”
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9
EFFICIENCY IMPROVEMENT OF FLAT PLATE SOLAR COLLECTOR USING SEARCH GROUP ALGORITHM
Published 2019“…This document proposes new optimization technique, the Search Group Algorithm (SGA), to optimize the efficiency of flat plate solar collector.…”
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Final Year Project -
10
LASSO-type estimations for threshold autoregressive and heteroscedastic time series models.
Published 2020“…Empirical studies using these univariate and multivariate models show that the BCD algorithms estimate less irrelevant thresholds compared to the approximation group LASSO algorithms of group least angle regression (GLAR). …”
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UMK Etheses -
11
BASE: a bacteria foraging algorithm for cell formation with sequence data
Published 2010“…The performance of the proposed algorithm is compared with that of a number of algorithms that are most commonly used and reported in the corresponding scientific literature, such as the CASE clustering algorithm for sequence data, the ACCORD bicriterion clustering algorithm and modified ART1, and using a defined performance measure known as group technology efficiency and bond efficiency. …”
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12
Efficient tag grouping RFID anti-collision algorithm for internet of things applications based on improved k-means clustering
Published 2023“…In the initialization stage, the reader uses improved K-means clustering running concurrently with a tag counter algorithm to cluster tags into K groups using tags RN16 while the counter returns an accurate tag number estimate. …”
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13
Parallel computation of maass cusp forms using mathematica
Published 2013“…In this work, we present three different pullback algorithms for the surfaces we considered and carefully integrate them into our Maass cusp form algorithm. …”
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14
Clustering of Chemical Compounds using Unsupervised Neural Networks Algorithms: a comparison
Published 2006“…In this work the applications of a number of self-organizing map (SOM) neural network algorithms to the clustering of chemical datasets are investigated. …”
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15
Development of coordinating algorithm for rendezvous task of mobile robots
Published 2023“…To accomplish this task, a coordinating algorithm was developed that allows the robots to work together in a distributed manner. …”
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Final Year Project / Dissertation / Thesis -
16
Clustering of chemical compounds using unsupervised neural networks algorithms : a comparison
Published 2006“…In this work the applications of a number of self-organizing map (SOM) neural network algorithms to the clustering of chemical datasets are investigated. …”
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17
Diagnosis of eyesight using Improved Clonal Selection Algorithm (ICLONALG) / Nor Khirda Masri
Published 2017“…This study aims to implement the classification algorithm using the Improved Clonal Selection Algorithm (ICLONALG) to classify the eyesight’s problems. …”
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18
Enhancing performance of XTS cryptography mode of operation using parallel design
Published 2009“…The IEEE P1619 Security in Storage working Group (SISWG) is a prominent group in developing standards related to secure storage encryption. …”
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19
Improved autonomous charging of mobile multi-robots using honeybee-inspired algorithm
Published 2016“…The improved honeybee inspired algorithm showed that the mobile robot could increase working time efficiency from 37% to 95%. …”
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Thesis -
20
EEG Eye State Identification based on Statistical Feature and Common Spatial Pattern Filter
Published 2019“…These indicate that both methods give good discrimination of the eye state condition but on it own, will not be sufficient to produce good classification accuracy. Hence, this work aims to develop an algorithm using statistical-CSP feature for eye state classification from EEG signal. …”
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