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Message based random variable length key encryption algorithm.
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Article -
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Securing cloud data system (SCDS) for key exposure using AES algorithm
Published 2021“…The AES algorithm has its own structure to encrypt and decrypt sensitive data that make the attackers difficult to get the real data when encrypting by AES algorithm. …”
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An alternative method to solve combined economic emission dispatch problems using flower pollination algorithm
Published 2016“…CEED actually is a multi-objective problem and need complex programming to solve it. The problem becomes complicated when there is practical constraints to be considered as well. …”
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PID TUNING OF DC MOTOR USING SWARM ITELLIGENCE ALGORITHM
Published 2012Get full text
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Final Year Project -
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Automated time series forecasting
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Monograph -
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Back propagation neural network approach for churn prediction: a case study in Celcom (M) Berhad / Hapida Husin
Published 2008“…The data has been chunk into a few series to determine the significant variables for predicting churn. Computer program were written in Matlab to implement the training and testing programs for the ANN algorithms. …”
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Simulation of vibrating string
Published 2001Get full text
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Final Year Project Report / IMRAD -
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AI recommendation penetration testing tool for cross-site scripting: support vector machine algorithm
Published 2025“…The research employs Extreme Programming (XP) methodologies to ensure high-quality code, agility, and collaborative development. …”
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An Agent-Based System with Personalization and Intelligent Assistance Services for Facilitating Knowledge Sharing
Published 2006“…The main algorithms used are profile determination and user similarity. …”
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A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm
Published 2024“…This research employed a modified version of the Design Science Research Methodology (DSRM), streamlined into five stages: problem identification, theoretical study, framework development, evaluation, and reporting. The developed framework, grounded in fault-based testing theory, comprises three key components: inputs, prioritization factors, and a prioritization algorithm. …”
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