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Hybrid ant colony system algorithm for static and dynamic job scheduling in grid computing
Published 2015“…The main part of RMS is the scheduler algorithm which has the responsibility to map submitted tasks to available resources. …”
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Thesis -
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Evaluate the performance of university timetabling problem with various artificial intelligence techniques
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Final Year Project / Dissertation / Thesis -
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Task scheduling in cloud computing using Harris-Hawk Optimization
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Proceedings -
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Managing risk in production scheduling under uncertain disruption
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Development of optimized maintenance scheduling model for coal-fired power plant boiler
Published 2023“…Computing intelligence is a soft-computing subset of artificial intelligence referring to the potential of a computer to gain knowledge from an experimental observations or specific task. …”
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Data Classification and Its Application in Credit Card Approval
Published 2004“…This project is involved with identification of the available algorithms used in data classification and the implementation of C4.5 decision tree induction algorithm in solving the data classifying task. …”
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Final Year Project -
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Intelligent dashboard with speech enhancement
Published 1997“…Numerous asynchronous scheduling tasks necessitate the architecture to be re-configurable. …”
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Proceeding Paper -
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A case study of microarray breast cancer classification using machine learning algorithms with grid search cross validation
Published 2023“…Grid search cross validation (CV) is applied for hyperparameter tuning of the algorithms. …”
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Article -
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An optimized variant of machine learning algorithm for datadriven electrical energy efficiency management (D2EEM)
Published 2024“…Finally, the proposed algorithms were also validated on another dataset of a university campus in a different region. …”
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Thesis -
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Processing time estimation in precision machining industry using AI / Lim Say Li
Published 2017“…Neural Network (NN) model is chosen as the artificial intelligence approach used in this research. Levenberg-Marquardt algorithm is used as the training algorithm. …”
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A New Grid Resource Discovery Framework
“…Resource discovery (RD) is an important key issue in grid systems since resource reservation and task scheduling are based on it. This paper proposes a novel semantic-based scalable decentralized grid RD framework. …”
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Conference or Workshop Item -
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Particle swarm optimization technique for optimal economic load dispatch / Muhammad Hilmi Nordin
Published 2014“…In the operation and planning of a power system, Economic Load Dispatch is a crucial task to be performed which decided the generation schedule of generating units with the objective of minimizing the total fuel cost while maintaining the operational constraints. …”
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Thesis -
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A New Grid Resource Discovery Framework
Published 2011“…Resource discovery (RD) is an important key issue in grid systems since resource reservation and task scheduling are based on it. This paper proposes a novel semantic-based scalable decentralized grid RD framework. …”
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Citation Index Journal -
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A New Grid Resource Discovery Framework
Published 2009“…Resource discovery (RD) is an important key issue in grid systems since resource reservation and task scheduling are based on it. This paper proposes a novel semantic-based scalable decentralized grid RD framework. …”
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