Search Results - (( developing behavior visualization algorithm ) OR ( java swarm optimization algorithm ))
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing
Published 2011“…A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against existing grid resource management algorithms such as Antz algorithm, Particle Swarm Optimization algorithm, Space Shared algorithm and Time Shared algorithm, in terms of processing time and resource utilization. …”
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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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An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…In order to address the challenges that mentioned above in this study, in the first phase, a novel architecture based on ensemble feature selection techniques include Modified Binary Bat Algorithm (NBBA), Binary Quantum Particle Swarm Optimization (QBPSO) Algorithm and Binary Quantum Gravita tional Search Algorithm (QBGSA) is hybridized with the Multi-layer Perceptron (MLP) classifier in order to select relevant feature subsets and improve classification accuracy. …”
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Improved abnormal detection using self-adaptive social force model for visual surveillance
Published 2017“…So, Self-Adaptive SFM is developed in order to estimate a good quality of interaction forces since it is crucial to achieve better abnormal detection, which represents the behavior of the crowd. …”
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Customer mobile behavioral segmentation and analysis in telecom using machine learning
Published 2021“…This study aims to identify telecom customer segments by utilizing machine learning and subsequently develop a web-based dashboard. The dashboard visualizes the cluster analysis based on demographics, behavior, and region features. …”
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Design Of Robot Motion Planning Algorithm For Wall Following Robot
Published 2006“…This project demonstrates the use of Wall Following Algorithm for the development of mobile robot wall-following behaviors. …”
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Development of generic algorithm in wheel-typed hybrid rocket grain design for performance estimation
Published 2012“…MATLAB® environment was used to develop the design and performance analysis codes, and visualize the temporal variation of performance characteristics.…”
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Proceeding Paper -
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Modeling heterogeneous behaviors with different strategies in a terrorist attack
Published 2022“…Experiments demonstrate that the proposed algorithm can generate practical heterogeneous behaviors that align with existing psychological research findings.…”
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The evaluation of contentoriented XML document retrieval: a case study of official letter / Hayati Abd Rahman
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Research Reports -
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EEG-based brain source localization using visual stimuli
Published 2016“…Brain source localization provides useful information to understand the brain's behavior and cognitive analysis. Various source localization algorithms have been developed to determine the exact locations of the active brain sources due to which electromagnetic activity is generated in brain. …”
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REAL-TIME ILLUMINATION COMPENSATION ON DYNAMIC BACKGROUND FOR CROWD ANALYTIC SURVEILLANCE
Published 2015“…Moreover, the results of our method is been used with other behavior learning algorithms to improve their efficiency.…”
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Clustering Based on Customers’ Behaviour in Accepting Personal Loan using Unsupervised Machine Learning
Published 2023“…The findings underscore the pivotal role of AI in navigating and unraveling customer behavior complexities in the banking industry. All clustering models are developed successfully in producing cluster results. …”
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