Search Results - (( java application learning algorithm ) OR ( software migration using algorithm ))
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Elitist hybrid migrating birds optimization and genetic algorithm based strategy for T-way test suite generation
Published 2020“…Addressing the aforementioned issues, this research proposes the development and implementation of hybrid t-way strategy based Migrating Birds Optimization Algorithm (MBO) and Genetic Algorithm (GA) with elitism, termed Elitist Hybrid MBO-GA. …”
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Clustering-based cloud migration strategies
Published 2018“…The k-means algorithm of the partitioning clustering method is used to analyze cloud migration strategies in this study. …”
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Clustering-based cloud migration strategies
Published 2018“…The k-means algorithm of the partitioning clustering method is used to analyze cloud migration strategies in this study. …”
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An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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Improving oil palm fresh fruit bunch grading system via software and hardware modifications
Published 2016“…This problem is due to the size of the image captured which is 1Gb per image. Therefore, the algorithm was migrated to a standalone software using LabVIEW. …”
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Classification model for water quality using machine learning techniques
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FuMAM: fuzzy-based mobile agent migration approach for data gathering in wireless sensor networks
Published 2018“…A mobile agent (MA) was recently proposed to provide an alternative solution for traditional data gathering in wireless sensor networks. An MA is a software component that can migrate among network nodes by following an assigned itinerary (or path). …”
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Development Of Machine Learning User Interface For Pump Diagnostics
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Solving Economic Dispatch Problems with Practical Constraints Utilizing Differential Search Algorithm
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Energy and performance efficient resource allocation for cloud-based data centers
Published 2015“…Dynamic VM consolidation leverages fine grained fluctuations in the application workloads, and continuously reallocates VMs using live migration to minimize the number of active physical nodes. …”
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Experimenting the dendrite cell algorithm for disease outbreak detection model
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AI powered asthma prediction towards treatment formulation: an android app approach
Published 2022“…TensorFlow is utilized to integrate machine learning with an Android application. We accomplished asthma therapy using an Android application developed in Java and running on the Android Studio platform.…”
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AI powered asthma prediction towards treatment formulation : An android app approach
Published 2022“…TensorFlow is utilized to integrate machine learning with an Android application. We accomplished asthma therapy using an Android application developed in Java and running on the Android Studio platform.…”
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Reliability-aware swarm based multi-objective optimization for controller placement in distributed SDN architecture
Published 2023“…The effectiveness of our hybrid RDMCP-PSO was then evaluated using extensive experiments and compared with other baseline algorithms. …”
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