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Routing performance enhancement in hierarchical torus network by link-selection algorithm
Published 2005“…A hierarchical torus network (HTN) is a 2D-torus network of multiple basic modules, in which the basic modules are 3D-torus networks that are hierarchically interconnected for higher-level networks. …”
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Dynamic communication performance enhancement in hierarchical torus network by selection algorithm
Published 2012“…A Hierarchical Torus Network (HTN) is a 2D-torus network of multiple basic modules, in which the basic modules are 3D-torus networks that are hierarchically interconnected for higher-level networks. …”
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Butterfly traffic pattern in selection algorithm on hierarchical torus network
Published 2015“…A Hierarchical Torus Network (HTN) is a 2D- torus network of multiple basic modules, in which the basic modules are 3D-torus networks that are hierarchically inter- connected for higher-level networks. …”
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Proceeding Paper -
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Adaptive routing algorithms and implementation for TESH network
Published 2013“…Thus, those algorithms can also be applied to TESH network. We have proposed three adaptive routing algorithms—channel-selection, link-selection, and dynamic dimension reversal—for the efficient use of network resources of a TESH network to improve dynamic communication performance. …”
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A cost and delay estimation of a suite of low-cost adaptive routers for hierarchical torus network
Published 2012“…A Hierarchical Torus Network (HTN) is a 2D-torus network of multiple basic modules, in which the basic modules are 3D-torus networks that are hierarchically interconnected for higher-level networks. …”
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Proceeding Paper -
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The non-uniform communication performance of adaptive routing for hierarchical interconnection network for 3D VLSI
Published 2015“…Thus, those algorithms can also be applied to TESH network. We have proposed three adaptive routing algorithms - channel-selection, link-selection, and dynamic dimension reversal - for the efficient use of network resources of a TESH network to improve dynamic communication performance. …”
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Network analysis for GPS UTMnav system: preliminary stage
Published 2008“…Each algorithm was reviewed and a simulation test was conducted to evaluate the selected algorithms. …”
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Conference or Workshop Item -
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Static image of hand gesture for numerical sign language recognition system using backfrofagation neural network / Erman Ibrahim
Published 2007“…This project is about recognizing hand gesture for sign language using backpropagation (BP) algorithm that is one of the training algorithms used in the Artificial Neural Network (ANN). …”
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The advantages of genetic algorithm and neural networks to forecast air pollution trend in Malaysia: an overview / Mohamad Idham Md Razak … [et al.]
Published 2012“…Genetic Algorithms (GAs) are adaptive heuristic search algorithm premised on the evolutionary ideas of natural selection and genetic. …”
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Book Section -
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An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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Conference or Workshop Item -
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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Memory-based Immune Network for Multi-Robot Cooperation
Published 2009“…The algorithm which is named as Immune Network T-cell-regulated|with Memory (INT-M) is applied to the dog and sheep scenario. …”
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Conference or Workshop Item -
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Multi-Robot Cooperation using Immune Network with Memory
Published 2009“…The algorithm which is named as Immune Network T-cell-regulated-with Memory (INT-M) is applied to the dog and sheep scenario. …”
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Conference or Workshop Item -
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Classification of herbs plant diseases via hierarchical dynamic artificial neural network
Published 2010“…This paper is to propose an unsupervised diseases pattern recognition and classification algorithm that is based on a modified Hierarchical Dynamic Artificial Neural Network which provides an adjustable sensitivity-specificity herbs diseases detection and classification from the analysis of noise-free colored herbs images. …”
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Improving neural networks training using experiment design approach
Published 2005“…Randomly select the m data set for conventional training algorithm. …”
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Thesis