Search Results - (( network selection method algorithm ) OR ( java application testing algorithm ))
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Web-based expert system for material selection of natural fiber- reinforced polymer composites
Published 2015“…Several algorithms, methods and spreadsheets are being proposed by various researchers in this field to improve materials selection. …”
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Thesis -
2
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
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3
RSA Encryption & Decryption using JAVA
Published 2006“…The implementation of this project will be based on Rapid Application Design Methodology (RAD) and will be more focusing on research and finding, ideas and the implementation of the algorithm, and finally running and testing the algorithm. …”
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Final Year Project -
4
Network reconfiguration and control for loss reduction using genetic algorithm
Published 2010“…Two selection methods that are used in Genetic Algorithm are the roulette wheel and tournament selections. …”
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Committee neural networks with fuzzy genetic algorithm.
Published 2011“…Finally, we use fuzzy genetic algorithm methods for combining the output of experts to predict a reservoir parameter in petroleum industry. …”
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Article -
7
Comparison of Search Algorithms in Javanese-Indonesian Dictionary Application
Published 2020“…Performance Testing is used to test the performance of algorithm implementations in applications. …”
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Journal -
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Spatial network k-Nearest neighbor: A survey and future directives
Published 2023“…Each algorithm is usually judged based on query time over few selected parameters which are; number of k, network density and network size. …”
Conference Paper -
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Modified Kohonen network algorithm for selection of the initial centres of Gustafson-Kessel algorithm in credit scoring
Published 2017“…A good clustering analysis implemented by good Initial Centres of clusters should be selected. To overcome this problem of Gustafson-Kessel (GK) algorithm, we proposed a modified version of Kohonen Network (KN) algorithm to select the initial centres. …”
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Article -
10
Determining the preprocessing clustering algorithm in radial basis function neural network
Published 2008“…Three types of method used in this study to find the centres include random selections, K-means clustering algorithm and also K-median clustering algorithm. …”
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Article -
11
An Improved LEACH Algorithm Based On Fuzzy C-Means Algorithm And Distributed Cluster Head Selection Mechanism.
Published 2019“…The comparison of therecommended algorithm with LEACH algorithm is conducted, in relations to energy consumption and network lifetime. …”
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Article -
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Selection of access network using cost function method in heterogeneous wireless network
Published 2014“…Hence, a vertical handover network selection (VHONS) being used to aid in term of service quality for user's satisfaction of the mobile terminal.This article intends to propose a new method of choosing the vertical handover network. …”
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Conference or Workshop Item -
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Optimisation of neural network with simultaneous feature selection and network prunning using evolutionary algorithm
Published 2015“…Most advances on the Evolutionary Algorithm optimisation of Neural Network are on recurrent neural network using the NEAT optimisation method. …”
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Article -
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Feature selection in intrusion detection, state of the art: A review
Published 2016“…Novel feature selection techniques have been developed due to its importance in network intrusion domain. …”
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Optimal source substation location selection in radial distribution networks
Published 2004“…New computer algorithm has been developed to select the optimal location of source substation in radial distribution networks. …”
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Conference or Workshop Item -
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Optimisation of Environmental Risk Assessment Architecture using Artificial Intelligence Techniques
Published 2024“…Fuzzy arithmetic operations on fuzzy numbers and artificial neural networks with a back-propagation learning algorithm were used to represent the structure of the neuro-fuzzy risk assessment model, whereas genetic algorithms were used to develop the safe path selection model. …”
thesis::doctoral thesis -
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Application of the bees algorithm to the selection features for manufacturing data
Published 2007“…A “wrapper” feature selection method using the Bees Algorithm and Multilayer Perception (MLP) networks is described in this paper. …”
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Conference or Workshop Item -
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Attacks detection in 6G wireless networks using machine learning
Published 2023“…The second stage involves the feature selection approach. Correlation Feature Selection algorithm (CFS) is used to implement the suggested hybrid strategy. …”
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Proceeding Paper -
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A novel hybrid classification model of genetic algorithms, modified k-Nearest Neighbor and developed backpropagation neural network
Published 2014“…Among numerous artificial intelligence approaches, k-Nearest Neighbor algorithms, genetic algorithms, and artificial neural networks are considered as the most common and effective methods in classification problems in numerous studies. …”
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Article -
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Load shedding scheme for islanded distribution network with flexible load selection and power changes / Ja’far Saifeddin Abdelhafiz Jallad
Published 2018“…The capabilities of the proposed methods can be assessed using the IEEE 33 - bus radial distribution system with different types of DGs, and a part of Malaysia’s distribution network was selected to validate the proposed methods in MATLAB and PSCAD/EMTDC X4 4.3.1.0. …”
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