Search Results - (( development projects replication algorithm ) OR ( java effective optimization algorithm ))
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Development of read-one-write-all synchronization transaction daemon (row A-STD) in distributed system
Published 2010“…A new algorithm has been designed and developed to manage replication and transaction using ROW A-MSTS prototype. …”
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Research Report -
2
Input-output based relation combinatorial testing using whale optimization algorithm for generating near optimum number of test suite
Published 2025“…This study proposes a combinatorial testing method utilizing the Whale Optimization Algorithm (WOA). The study compares the performance of WOA with various existing strategies, such as Greedy, Density, TVG, Union, ParaOrder, ReqOrder, ITTDG, AURA, Java Algorithm (CTJ), TTSGA, and AFA. …”
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Article -
3
A random search based effective algorithm for pairwise test data generation
Published 2011“…This paper proposes an effective random search based pairwise test data generation algorithm named R2Way to optimize the number of test cases. …”
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Conference or Workshop Item -
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EasyA: Easy and effective way to generate pairwise test data
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Implementation of locust inspired scheduling algorithm with huge number of servers for energy efficiency in a cloud datacenter
Published 2019“…Cloudsim is used as Discrete Event Simulation tool and Java as coding language to evaluate LACE algorithm. …”
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Thesis -
6
Secured agriculture sensor data based on end-to-end encryption using raspberry pi
Published 2025“…Additionally, a benchmarking tool was developed to evaluate and compare the performance of these algorithms in terms of speed, memory, CPU usage, and encryption overhead. …”
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Final Year Project / Dissertation / Thesis -
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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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8
Hybrid genetic algorithm for improving fault localization
Published 2018“…Therefore, there is a need for a technique which able to localize a fault effectively with less number of mutants generated. Genetic algorithm (GA) is well known in finding an optimal solution to a problem while local search is capable of removing duplication. …”
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An enhancement of multi-factor weighted approach technique in prioritizing test cases by comparing similarity distance
Published 2025“…Our aim of this research is to compare and evaluate both Jaccard and Manhattan Distance algorithms in terms of their effectiveness to formulate the enhancement of the previous multi-factor weighted Approach. …”
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SG-PBFS : Shortest Gap-Priority Based Fair Scheduling technique for job scheduling in cloud environment
Published 2024“…Firstly, a Priority-Based Fair Scheduling (PBFS) algorithm has been introduced to schedule jobs so that jobs can access the required resources at optimal times. …”
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Design of smart waste bin and prediction algorithm for waste management in household area
Published 2018“…All data will be normalized in the pre-processing stage before proceeding to the prediction using Visual Gene Developer. This project evaluated the performance using R2 value. …”
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Development of a chemical kinetic model for hydroprocessed renwable jet fuel for turbine engines
Published 2022“…Camelina-based Hydroprocessed Renewable Jet-6152 (CHRJ-6152) fuels are chosen as the target fuel in this project. The detailed chemical kinetic models of fuel are developed to investigate the combustion characteristics of the turbine engines in Computational Fluid Dynamics (CFD) simulations. …”
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Final Year Project / Dissertation / Thesis -
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Face Detection System / Chan Beh Teng
Published 2004“…The aim of this project is to replicate on a computer what humans beings are able to do so effortlessly - detect the presence of the faces in their field of vision. …”
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Evolutionary cost-cognizant regression test case prioritization for object-oriented programs
Published 2019“…Afterward evolutionary algorithm (EA) was employed to prioritize test cases based on the rate severity of fault detection per unit test cost. …”
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