Search Results - (( group evaluation method algorithm ) OR ( a distribution from algorithm ))*
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1
Space allocation for examination scheduling using Genetic Algorithm / Alya Kauthar Azman
Published 2025“…The research adopts a Genetic Algorithm-based approach, where examination scheduling details such as date, time, course code, program code, student group, student numbers, and available spaces are encoded as chromosomes. …”
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2
Nomadic people optimizer (NPO) for large-scale optimization problems
Published 2019“…Good performances were also achieved with the NPO with respect to noise and limited information problems. A Wilcoxon Signed-Rank Test was performed to measure the pair-wise statistical performances of the algorithms and from the results, NPO recorded a better statistical performance compared to the other benchmarking algorithms. …”
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3
Controller placement problem in the optimization of 5G based SDN and NFV architecture
Published 2021“…A heuristic called dynamic mapping and multi-stage CPP algorithm (DMMCPP) was developed to solve CPP as resource allocation in a distributed 5G-SDN-NFV-based network. …”
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Prospective Control Systems and Cyber-Securities for Electrical Secondary Substations
Published 2023Conference Paper -
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Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures
Published 2020“…Any optimization algorithm is suitable for only a specific domain of optimization problems. …”
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6
The impact of the combat method on radiomics feature compensation and analysis of scanners from different manufacturers
Published 2024“…The AUC value increased from 0.88 to 0.92. Conclusions: The Combat algorithm has reduced variability in radiomic features from different scanners. …”
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Multicast-unicast key management and data delivery method in wireless IPv6 networks
Published 2012“…Whenever a new node is granted to join or leave a multicast group, a new key should be generated and distributed to every node in the network. …”
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8
Robust Kernel Density Function Estimation
Published 2010“…The distance of observations from the center of data set is incorporated in the formulation of the first outlier detection method in unimodal distribution. …”
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9
Machine learning and deep learning approaches for detecting DDoS attacks in cloud environments
Published 2025“…Distributed Denial of Service (DDoS) attacks pose a significant threat to cloud computing environments, necessitating advanced detection methods. …”
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Hybrid group decision making method based on multi-granular information using fusion algorithms and consistent fuzzy preference relation / Siti Amnah Mohd Ridzuan
Published 2017“…Both algorithm been illustrated in textbook selection. The proposed methods can be utilized as another option to solve a decision making problem.…”
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12
Transtheoretical model of change for weight control in Malaysian context
Published 2010“…This research study found the focus groups and survey used in a concurrent mixed method approach was illuminating. …”
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13
Quantitative Analysis And Mapping Of Concrete Scanning Electron Microscope (SEM) Images
Published 2018“…By spatial segmentation of K-Means algorithms, the cluster groups generated were carefully reviewed before proceeding to the final analysis. …”
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Evaluation of the effectiveness of clustering algorithm in retrieving Malay documents / Aminah Mahmood
Published 2004“…First experiment use exact match, which is no method, is applied. Second experiment use stenmiing method. …”
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15
Review of the research landscape of multi-criteria evaluation and bench- marking processes for many-objective optimisation methods: coherent taxonomy, challenges and recommended so...
Published 2020“…Evaluation and benchmarking of many-objective optimization (MaOO) methods are complicated. …”
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Clustering of Chemical Compounds using Unsupervised Neural Networks Algorithms: a comparison
Published 2006“…The results of the SOM neural networks, Wards and Group-Average methods are evaluated for the clustering of different biologically active chemical molecules that can be used as drug like compounds based on topological descriptors. …”
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Clustering of chemical compounds using unsupervised neural networks algorithms : a comparison
Published 2006“…The results of the SOM neural networks, Wards and Group-Average methods are evaluated for the clustering of different biologically active chemical molecules that can be used as drug like compounds based on topological descriptors. …”
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18
Clustering ensemble learning method based on incremental genetic algorithms
Published 2012“…In order to address the above mentioned challenges, this study is devoted towards the development of a clusterer and a clustering ensemble learning method based on incremental genetic algorithms addressing group unlabeled samples. …”
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19
Group method of data handling with artificial bee colony in combining forecasts
Published 2018“…This study is done by combining individual forecasts of Group Method of Data Handling models using the weighted-based combine approach. …”
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Multi-objective clustering algorithm using particle swarm optimization with crowding distance (MCPSO-CD)
Published 2020“…The results of the evaluation show that the proposed approach exemplified the state-of-the-art method with significant differences in most of the datasets tested.…”
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