Search Results - (( software selection method algorithm ) OR ( java location based algorithm ))
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Campus safe: Safeguarding GPS-based Physical Identity and Access Management (PIAM) system with a lightweight Geo-Encryption
Published 2022“…Subsequently, this project embedded with a lightweight Geo-Encryption algorithm to preserve the privacy of real-time GPS location. …”
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Academic Exercise -
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Software defect prediction framework based on hybrid metaheuristic optimization methods
Published 2015“…For the purpose of this study, ten classification algorithms have been selected. The selection aims at achieving a balance between established classification algorithms used in software defect prediction. …”
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Group formation using genetic algorithm
Published 2009“…However, due to lack of programming skills especially in Java programming language and the inability to have meetings frequently among the group members,most of the students’ software project cannot be delivered successfully.To solve this problem, systematic group formation is one of the initial factors that should be considered to ensure that every group consists of quality individuals who are good in Java programming and also to ensure that every group member in a group are staying closer to each other.In this research, we propose a method for group formation using Genetic Algorithms, where the members for each group will be generated based on the students’ programming skill and location of residential colleges.…”
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Monograph -
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Multi-floor indoor location estimation system based on wireless local area network
Published 2007“…The most probable match is selected and returned as estimated location based on Bayesian filtering algorithm. Estimated location is reported as physical location and symbolic location. …”
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Thesis -
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Software metrics selection model for predicting maintainability of object-oriented software using genetic algorithms
Published 2016“…To predict software maintainace, the proper metrics need to be selected to avoid the duplication or the outlying of the potential metrics. …”
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Thesis -
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Comparison for selection technique in genetic algorithm
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Undergraduates Project Papers -
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Depth linear discrimination-oriented feature selection method based on adaptive sine cosine algorithm for software defect prediction
Published 2024“…To address these challenges, this research introduces a novel Depth Linear Discrimination-Oriented Feature Selection Method based on Adaptive Sine Cosine Algorithm, named Depth Adaptive Sine Cosine Feature Selection (DASC-FS). …”
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Application of the bees algorithm to the selection features for manufacturing data
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Conference or Workshop Item -
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Metric's thresholds for encoding evolutionary computing representation in software engineering problem
Published 2015“…Algorithm was tested to metric selection problem using Genetic Algorithm and the results obtained are promising.…”
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Cross-project software defect prediction
Published 2022“…In this work, five research questions covering the classification algorithms, dataset, independent variables, performance evaluation metrics used in CPDP studies, and as well as the performance of individual machine learning classification algorithms in predicting software defects across different software projects were addressed accordingly. …”
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AGENT MEETING SCHEDULER
Published 2011“…An agent meeting scheduler prototype then will be developed to prove that the selected algorithm is working properly. Qualitative research method is being used to gather necessary data on agent algorithm and this data will be used to select the suitable algorithm. …”
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Final Year Project -
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Optimization of mycelium growth using genetic algorithm for multi-objective functions
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Undergraduates Project Papers -
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Features selection for IDS in encrypted traffic using genetic algorithm
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Conference or Workshop Item -
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ANALYSIS AND INTERPRETATION OF PRESSURE TRANSIENT TEST DATA BY RECENT ROBUST DECONVOLUTION METHODS
Published 2013“…Now, most commercial software incorporates either the method developed by von Schroeter et al. or its variants developed by Levitan (2005) and Pimonov et al. (2010). …”
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Final Year Project
