Search Results - (( intelligence based banking algorithm ) OR ( intelligence task scheduling algorithm ))*
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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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Evaluate the performance of university timetabling problem with various artificial intelligence techniques
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Energy Management Strategies for Optimal Hybrid Microgrid Configuration in the Smart Village Context
Published 2018“…A part of the developed algorithm is used to deal with the optimal scheduling control while the other actuates the dynamic demand response based PV power forecasting. …”
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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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Article -
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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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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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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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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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Citation Index Journal -
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Mobile banking Trojan detection using Naive Bayes / Anis Athirah Masmuhallim
Published 2024“…The objectives of this project are to study the requirement of the Naive Bayes algorithm in Mobile Banking Trojan detection, to develop a webbased detection system for Mobile Banking Trojan using Naive Bayes, and to evaluate the performance and accuracy of the Naive Bayes algorithm in the Mobile Banking Trojan detection. …”
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A Computational Intelligent Algorithm For Solving Unit Commitment Problem
Published 2023text::Final Year Project -
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Speech enhancement using deep neural network based on mask estimation and harmonic regeneration noise reduction for single channel microphone
Published 2022“…Moreover, the task of removing noises without causing speech distortion is also challenging, in which the quality and intelligibility of speech are affected. In order to overcome these issues, a supervised Deep Neural Network (DNN) algorithm predicted constrained Wiener Filter (cWF) target mask algorithm based on extracted Gammatone filter bank power spectrum (GF-TF) features and trained model is developed. …”
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Distance vector-hop range-free location algorithm for wireless sensor network
Published 2015“…Thus, this research has proposed two ideas. First is the intelligent nodes placement algorithm for sensor nodes in order to introduce algorithm with low complexity and low localization error. …”
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