Search Results - (( shared values using algorithm ) OR ( java segmentation using 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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Development of seven segment display recognition using TensorFlow on Raspberry Pi
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Proceeding Paper -
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Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing
Published 2011“…Global pheromone update is performed after the completion of processing the jobs in order to reduce the pheromone value of resources. A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against existing grid resource management algorithms such as Antz algorithm, Particle Swarm Optimization algorithm, Space Shared algorithm and Time Shared algorithm, in terms of processing time and resource utilization. …”
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5
FRACTIONAL PROPERTY OWNERSHIP BY USING BLOCKCHAIN ALGORITHM
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Fair bandwidth distribution marking and scheduling algorithm in network traffic classification
Published 2019“…They can be useful for taking a decision on choosing concrete values of traffic classification environments element parameters in a real network. …”
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8
Social learning and principal-agent problems in profit sharing contract
Published 2023“…The data are collected from the period of 2009 to 2013 and it will be used for the simulation process by utilizing the genetic algorithm technique. …”
Article -
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Technical job distribution at BSD SHARP service center using combination of naïve Bayes and K-Nearest neighbour
Published 2022“…The single Classifier test with the Naïve Bayes algorithm produces the highest accuracy value of 72.7%, while using k-NN algorithm is 81.5%. …”
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Priority and dynamic quantum time algorithms for central processing unit scheduling
Published 2018“…Central Processing Unit is scheduled using different types of scheduling algorithms. One of the most widely algorithm used in scheduling with sharing and batch operating systems is Round Robin. …”
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Encrypting text data using elliptic curve cryptography
Published 2018“…Elliptic curve cryptography has been proven to be secure and requires small key sizes in comparison to the well-known and most used cryptographic algorithms. In this study, a new approach is proposed to enhance the performance of the encryption which means eliminating classic mapping techniques. …”
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15
Semi-supervised learning for feature selection and classification of data / Ganesh Krishnasamy
Published 2019“…The proposed algorithm is compared with the state-of-the-art feature selection algorithms using three different datasets. …”
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16
The comparison of tardiness in scheduling techniques for task distribution using grid simulation tool
Published 2008“…The goal of this project is to test on tardiness parameter in local search based algorithms. A good scheduling algorithm normally shows lower value of total tardiness and schedule time. …”
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17
An improved algorithm for iris classification by using support vector machine and binary random machine learning
Published 2018“…The second objective is to conduct a supervised and binary ensemble machine learning technique for classification. This is done by using method of RF and RNN that share the same ensemble concept. …”
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18
QTCP: an optimized and improved congestion control algorithm of high-speed TCP networks
Published 2011“…A modified algorithm has been developed by using an additive increase approach to grow window with normal speed and to increase scalability by putting constant value of stability of timeline in congestion avoidance phase. …”
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Conference or Workshop Item -
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Fast temporal video segmentation based on Krawtchouk-Tchebichef moments
Published 2020“…In this regard, this paper proposes a TVS algorithm with high precision and recall values, and low computation cost for detecting different types of video transitions. …”
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An application of genetic algorithm and least squares support vector machine for tracing the transmission loss in deregulated power system
Published 2011“…The idea is to use GA as an optimizer to find the optimal values of hyper-parameters of LS-SVM and adopt a supervised learning approach to train the LS-SVM model. …”
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