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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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Thesis -
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Direct approach for mining association rules from structured XML data
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Thesis -
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. These data are processed and stored in appropriate formats in a MySQL server database. …”
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Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
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A web-based implementation of k-means algorithms
Published 2022“…This stinginess of proximity measures in data mining tools is stifling the performance of the algorithm. …”
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Final Year Project / Dissertation / Thesis -
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On Adopting Parameter Free Optimization Algorithms for Combinatorial Interaction Testing
Published 2015“…Although useful, strategies based on the aforementioned optimization algorithms are not without limitation. …”
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Mining Sequential Patterns using I-PrefixSpan
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Citation Index Journal -
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Review of Nature Inspired Metaheuristic Algorithm Selection for Combinatorial t-way Testing
Published 2022“…This research paper outlines hundred and ten (110) outstanding nature-inspired metaheuristic algorithms for the last decades (2001 and 2021) such as Coronavirus Optimization Algorithm, Ebola Optimization Algorithm, Harmony Search, Tiki-Taka Algorithm, and so on. …”
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A Hybrid Ant-Wolf Algorithm to Optimize Assembly Sequence Planning Problem
Published 2017“…Purpose – This paper aims to optimize the assembly sequence planning (ASP) problem using a proposed hybrid algorithm based on Ant Colony Optimization (ACO) and Gray Wolf Optimizer (GWO). …”
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Adopting Jaya Algorithm for Team Formation Problem
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Conference or Workshop Item -
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Recent Evolutionary Algorithm Variants for Combinatorial Optimization Problem
Published 2023“…The evolutionary algorithm has been extensively used to solve a range of combinatorial optimization problems. …”
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Enhancing three variants of harmony search algorithm for continuous optimization problems
Published 2021“…Meta-heuristic algorithms are well-known optimization methods, for solving real-world optimization problems. …”
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Hybrid harmony search algorithm for continuous optimization problems
Published 2020“…Harmony Search (HS) algorithm has been extensively adopted in the literature to address optimization problems in many different fields, such as industrial design, civil engineering, electrical and mechanical engineering problems. …”
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Thesis -
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Genetic algorithm based mass distribution optimization of quadruped leg robot for walking performance enhancement
Published 2013“…In the conditions of fixed walking cycle, preset walking pattern and limited torque generation in actuators, genetic algorithm is adopted to optimize the walking distance of the robot by varying the masses of torso, upper limb and lower limb, ranging from 0.01kg to 5kg. …”
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Exponentially adaptive sine-cosine algorithm for global optimization
Published 2019“…It is widely used to solve various optimization problems. However the algorithm performance in terms of accuracy is not at optimum level. …”
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Conference or Workshop Item -
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Pengoptimuman algoritma pengesanan batu loncatan dalam sistem pengesanan pencerobohan
Published 2005“…In this research, special Top-Down methodology has been used to optimize the stepping stone algorithm. It is achieved by analyzing five stepping stone algorithms, in which each algorithm is divided into three main parts. …”
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Thesis -
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An Arithmetic-Trigonometric Optimization Algorithm with Application for Control of Real-Time Pressure Process Plant
Published 2022“…The proposed algorithm adopts different trigonometric functions, namely sin, cos, and tan, with the conventional sine cosine algorithm (SCA) and arithmetic optimization algorithm (AOA) to improve the convergence rate and optimal search area in the exploration and exploitation phases. …”
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