Search Results - (( its application using algorithm ) OR ( _ applications ((means algorithm) OR (acs algorithm)) ))
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Facial image retrieval on semantic features using adaptive mean genetic algorithm
Published 2019“…Finally, the features are selected using Adaptive Mean Genetic Algorithm (AMGA). In this study, the average PSNR value obtained after applying Wiener filter was 45.29. …”
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Parsing algorithms for grammars with regulated rewriting
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Students Activity Recognition By Heart Rate Monitoring In Classroom Using K-means Classification
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Data clustering using the bees algorithm
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Modified ACS centroid memory for data clustering
Published 2019“…Ant Colony Optimization (ACO) is a generic algorithm, which has been widely used in different application domains due to its simplicity and adaptiveness to different optimization problems. …”
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Real-time vehicle counting using custom YOLOv8n and DeepSORT for resource-limited edge devices
Published 2024“…One promising application of computer vision techniques in ITS is in the development of low- computing and accurate vehicle counting systems that can be used to eliminate dependence on external cloud computing resources. …”
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Parallel matrix-multiplication algorithm on network of workstations
Published 2004“…We discuss matrix-multiplication algorithm and highlight one of the parallel matrix--multiplication algorithms. …”
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Strategies DACS3 Increasing its Performances
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An improved ACS algorithm for data clustering
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Embedding Malaysian House Red Ant Behavior into an Ant Colony System
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Improved Dynamic Ant Colony System (DACS) on Symmetric Traveling Salesman Problem (TSP).
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Anomaly detection of intrusion based on integration of rough sets and fuzzy c-means
Published 2005“…The objective of this paper is to describe a rough sets and fuzzy c-means algorithms and discuss its usage to detect intrusion in a computer network. …”
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Beta Distribution Weighted Fuzzy C-Ordered-Means Clustering
Published 2024“…Experiments were conducted on six UCI datasets to validate the effectiveness of the BDFCOM, comparing its performance against seven other clustering algorithms using six evaluation indices. …”
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A Comparative Study Of Fuzzy C-Means And K-Means Clustering Techniques
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All-pass filtered x least mean square algorithm for narrowband active noise control
Published 2018“…Here first-order all pass filters with single parameter is used to improve the convergence of the LMS algorithm. …”
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A guided hybrid k-means and genetic algorithm models for children handwriting legibility performance assessment / Norzehan Sakamat
Published 2021“…K-Means algorithm a popular efficient clustering techniques and genetic algorithm a widely used evolutionary algorithm and known for its adaptive nature were combined to determine the level of handwriting legibility for each child. …”
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Thesis
