Search Results - (( data distribution selection algorithm ) OR ( data distribution process algorithm ))*
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1
Static and self-scalable filter range selection algorithms for peer-to-peer networks
Published 2011“…These algorithms are based on the statistical knowledge about the uniform distribution nature of the data and arranged in certain order in the file. …”
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Thesis -
2
Statistical fixed range multiple selection algorithm for peer-to-peer system
Published 2010“…This algorithm is developed based on the statistical knowledge about the uniform distribution nature of the data which has been arranged in ascending order in the local file. …”
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3
Technical job distribution at BSD SHARP service center using combination of naïve Bayes and K-Nearest neighbour
Published 2022“…Meanwhile, k-NN algorithm is used to classify the experimental data. …”
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Proceeding Paper -
4
Static range multiple selection algorithm for peer-to-peer system
Published 2011“…This algorithm is developed based on the statistical knowledge about the uniform distribution nature of the data which has been arranged according to certain order in the file. …”
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5
Privacy in medical emergency system: cryptographic and security aspects
Published 2010“…This paper shows the results of processing time of data encryption between asymmetric key algorithm (RSA) and symmetric key algorithm (AES) which includes its key-distribution processing time with client’s public key (RSA) from small to large amount of data. …”
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Proceeding Paper -
6
Investigation of evolutionary multi-objective algorithms in solving view selection problem / Seyed Hamid Talebian
Published 2013“…The data distributed in these systems sometimes come in inconsistent formats. …”
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7
Development of classification model between clean water and polluted water based on capacitance properties using Levenberg Marquardt (LM) algorithm of artificial neural network / M...
Published 2020“…For both cases, the statistical analysis data show that the p-value is more than 0.05, which indicates that the data are normally distributed. …”
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Student Project -
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The comparison of tardiness in scheduling techniques for task distribution using grid simulation tool
Published 2008“…Grid computing is a form of distributed computing that involves coordinating and sharing computing, application, data storage or network resources across dynamic and geographically dispersed organizations. …”
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10
A spawn mobile agent itinerary planning approach for energy-efficient data gathering in wireless sensor networks
Published 2017“…Moreover, each distributed MA has to carry the processing code (data aggregation code) to collect the sensory data and return back to the sink with the accumulated data. …”
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Article -
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Multi-Hop Selective Constructive Interference Flooding Protocol For Wireless Sensor Networks
Published 2019“…MSCIF integrates three main algorithms: clustering algorithm, selection algorithm, and a synchronized flooding. …”
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12
Extreme air pollutant data analysis using classical and Bayesian approaches
Published 2015“…However, decisions on block sizes and threshold selection should be made by taking into consideration the limiting distribution properties. …”
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13
Development Of Fall Risk Clustering Algorithm In Older People
Published 2020“…The proposed algorithm consists of several stages, includes data pre-processing, feature selection, feature extraction, clustering and characteristic interpretation. …”
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Final Year Project / Dissertation / Thesis -
14
Modelling of heuristic distribution algorithm to optimize flexible production scheduling in Indian industry
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Conference or Workshop Item -
15
A Continuous Overlay Path Probing Algorithm For Overlay Networks
Published 2013“…Such an in-band probing algorithm reduces measurement overhead on the selected overlay path. …”
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16
JQPro : Join query processing in a distributed system for big RDF data using the hash-merge join technique
Published 2023“…To address this complication, we introduce a join query processing model for big RDF data, called JQPro. By adopting a MapReduce framework in JQPro, we developed three new algorithms, which are hash-join, sort-merge, and enhanced MapReduce-join for join query processing of RDF data. …”
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Article -
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JQPro : Join query processing in a distributed system for big RDF data using the hash-merge join technique
Published 2023“…To address this complication, we introduce a join query processing model for big RDF data, called JQPro. By adopting a MapReduce framework in JQPro, we developed three new algorithms, which are hash-join, sort-merge, and enhanced MapReduce-join for join query processing of RDF data. …”
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18
JQPro: Join query processing in a distributed system for Big RDF data using the hash-merge join technique
Published 2023“…To address this complication, we introduce a join query processing model for big RDF data, called JQPro. By adopting a MapReduce framework in JQPro, we developed three new algorithms, which are hash-join, sort-merge, and enhanced MapReduce-join for join query processing of RDF data. …”
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Article -
19
Examination invigilation timetable using Genetic Algorithm / Mohamad Fakhrullah Ibrahim
Published 2025“…To overcome these issues, a system utilizing a Genetic Algorithm (GA) was developed to automate and optimize the timetabling process. …”
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20
An energy based cluster head selection unequal clustering algorithm with dual sink (ECH-DUAL) for continuous monitoring applications in wireless sensor networks
Published 2018“…In our algorithm, tentative cluster head is selected based on energy based timer, residual energy, node IDs and trust value. …”
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