Search Results - (( java application learning algorithm ) OR ( framework implementation new algorithm ))
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Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation
Published 2023“…Currently available framework documentation approaches are not very effective for new framework users, and this scenario tends to discourage new users in using frameworks. …”
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Low-level hybridization scripting language with dynamic parameterization in PSO-GA / Suraya Masrom
Published 2015“…The research has proposed new implementation frameworks and new scripting language with the dynamic parameterization. …”
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Design and Implementation of Intelligent Interoperability Framework for Heterogeneous Subsystems in Smart Home Environment
Published 2011“…The first algorithm, named as Framework Initialization algorithm, is developed to initialize the framework and discovering the subsystems configured in order to derive the interoperation tasks. …”
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Implementing case-based reasoning approach to framework documentation
Published 2023“…Proper documentation is required in order for a framework to be usable to users, especially to the new users of the framework. …”
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NIS-Apriori-based rule generation with three-way decisions and its application system in SQL
Published 2020“…Subsequently, the implementation of the NIS-Apriori algorithm in SQL is described and a few new topics induced by effects of NIS-Apriori-based rule generation are confirmed. …”
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A New Grid Resource Discovery Framework
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A New Grid Resource Discovery Framework
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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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New filtering framework for web personalization search / Anitawati Mohd Lokman and Aishah Ahmad
Published 2012“…This algorithm can be implemented in both website and search engine.…”
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Research Reports -
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A new framework for geospatial site selection using artificial neural networks as decision rules: a Case study on landfill sites
Published 2015“…Specifically, ANNs are decision rules implemented to enhance conventional GSS frameworks. …”
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Edge assisted crime prediction and evaluation framework for machine learning algorithms
Published 2022“…In particular, this study proposes a crime prediction and evaluation framework for machine learning algorithms of the network edge. …”
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Estimation-based Metaheuristics: A New Branch of Computational Intelligence
Published 2016“…Heuristic Kalman Algorithm (HKA) also is inspired by the Kalman Filter framework. …”
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Low-level hybridization scripting language with dynamic parameterization in PSO-GA / Suraya Masrom
Published 2015“…The research has proposed new implementation frameworks and new scripting language with the dynamic parameterization……”
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Book Section -
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A new framework for multi-partition finite state machine low power design based on genetic algorithm
Published 2018“…Therefore, by using such techniques, an innovative multi-partitioning solution can be achieved for a low-power FSM design using the GA algorithm. This dissertation proposes a new framework to a multi-partitioning approach to implement FSMs, which aims to improve low power design. …”
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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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