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Improved tree routing protocol in zigbee networks
Published 2010“…ZigBee is an industrial standard for wireless ad hoc networks based on IEEE 802.15.4. …”
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A class skew-insensitive ACO-based decision tree algorithm for imbalanced data sets
Published 2021“…Ant-tree-miner (ATM) has an advantage over the conventional decision tree algorithm in terms of feature selection. …”
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Home buyer assistant using artificial bee colony algorithm / Muhammad Izzat Azri Azman
Published 2017“…This project used Artificial Bee Colony Algorithms (ABC) by adapting the food foraging behaviour of bee in honey bee and find a suitable house for home buyer based on their requirement. …”
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Reinforcement Learning Algorithm for Optimising Durian Irrigation Systems: Maximising Growth and Water Efficiency
Published 2024“…This study presents a Reinforcement Learning-based algorithm designed to optimise irrigation for Durio Zibethinus (i.e., durian) trees, aiming to maximise tree growth and reduce water usage. …”
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Algorithm Development of Bidirectional Agglomerative Hierarchical Clustering Using AVL Tree with Visualization
Published 2024thesis::doctoral thesis -
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Acoustic emission partial discharge localization in oil based on artificial bee colony
Published 2025“…This study explores the application of an artificial bee colony (ABC) to locate partial discharge (PD) in a test tank based on acoustic emission (AE) approach. …”
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Honey bee based trust management system for cloud computing
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E4ML: Educational Tool for Machine Learning
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Analysis and comparison of classification algorithms for credit approval in Islamic banks
Published 2025“…Conversely, the C4.5 algorithm achieved a balanced performance with a testing accuracy of 74.5%, making it a promising candidate for practical application in Sharia-compliant credit risk assessment. …”
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Window based personalized time management system
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Nano-scale VLSI clock routing module based on useful-skew tree algorithm
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Prime-based method for interactive mining of frequent patterns
Published 2010“…Thus far, a few efficient interactive mining algorithms have been proposed. However, their runtime do not fulfill the need of short runtime in real time applications especially where data is sparse and proper frequent patterns are mined with very low values of minsup. …”
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A review of training methods of ANFIS for applications in business and economic
Published 2016“…Moreover, the standard gradient based learning via two pass learning algorithm is prone slow and prone to get stuck in local minima. …”
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