Search Results - (( intelligence based case algorithm ) OR ( intelligence based group algorithm ))
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Optimal location and size estimation of distributed generators by employing grouping particle swarm optimization and grouping genetic algorithm
Published 2017“…It was observed that the grouping particle swarm optimization algorithm has achieved high reduction of total real and reactive power losses, by installing five distributed generators, when compared to the base case. …”
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Thesis -
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Diagnosis of breast cancer using case-based reasoning
Published 2012“…The objective for this thesis is to develop an intelligent decision support application for diagnosis of breast cancer using Case-Based Reasoning (CBR) algorithm for predict the class of cancer for patients. …”
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Undergraduates Project Papers -
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HEURISTIC OPTIMIZATION OF BAT ALGORITHM FOR HETEROGENEOUS SWARMS USING PERCEPTION
Published 2023“…The Bat Algorithm is a population-based meta-heuristic algorithm for solving continuous optimization problems. …”
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Fuzzy optimization with multi-objective evolutionary algorithms: A case study
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Conference or Workshop Item -
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Assessing the potential of laboratory instructional tool through Synthesia AI: a case study on student learning outcome / Jacqueline Joseph
Published 2023“…The course was divided into two groups, an experimental group and a control group. …”
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Improvement and application of particle swarm optimization algorithm
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Centre based evolving clustering framework with extended mobility features for vehicular ad-hoc networks
Published 2021“…Finally, CEC-GP shows a better stability performance compared with "Centre-based Stable Clustering (CBSC)" and "Evolving Data Clustering Algorithm (EDCA)" based on different performance metrics such as the clustering efficiency, the cluster head, and cluster member duration, the cluster head change rate, and the number of created clusters. …”
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Thesis -
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Design Model Free Fuzzy Sliding Mode Control: Applied to Internal Combustion Engine.
Published 2011“…The strategies for control of engines are classified into two main groups: classical and non-classical methods, where the classical methods used the conventional control theory and non-classical methods used the artificial intelligence theory such as fuzzy logic, neural networks and/or neurofuzzy. …”
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A novel Multi-perspective benchmarking framework for selecting image dehazing intelligent algorithms based on BWM and group VIKOR techniques
Published 2020“…A novel Multi-perspective benchmarking framework for selecting image dehazing intelligent algorithms based on BWM and group VIKOR techniques by Abdulkareem, Karrar Hameed …”
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Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation
Published 2023“…A new case is retained in the case base for future retrievals. …”
Conference paper -
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A Comparative Study of the Application of Swarm Intelligence in Kruppa-Based Camera Auto-Calibration
Published 2013“…The fitness function used in the camera calibration problem is based on the Kruppa’s equation. A case study from a dataset provided by Le2i Universite de Bourgoune is taken for benchmarking the performance of both algorithms. …”
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A Comparative Study of the Application of Swarm Intelligence in Kruppa-Based Camera Auto-Calibration
Published 2013“…The fitness function used in the camera calibration problem is based on the Kruppa’s equation. A case study from a dataset provided by Le2i Universite de Bourgoune is taken for benchmarking the performance of both algorithms. …”
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Conference or Workshop Item
