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Cluster Analysis of Data Points using Partitioning and Probabilistic Model-based Algorithms
Published 2014“…This study explores the performance accuracies of partitioning-based algorithms and probabilistic model-based algorithm. …”
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A modified generalized RBF model with EM-based learning algorithm for medical applications
Published 2006“…An EM-based training algorithm is also introduced, which uses fewer parameters compared to some classical supervised learning methods. …”
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Proceeding Paper -
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An artificial immune system model as talent performance predictor / Siti ‘Aisyah Sa’dan, Hamidah Jantan and Mohd Hanapi Abdul Latif
Published 2016“…The objective of this study is to propose a prediction model based on bio-inspired algorithm for talent knowledge discovery through some experiments. …”
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Research Reports -
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A priority based job scheduling algorithm in cloud computing
Published 2012“…The proposed algorithm is based on multiple criteria decision making model.…”
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A block-based multi-scale background extraction algorithm
Published 2010“…In addition, an amended multi-scale algorithm is introduced. This algorithm is a hybrid algorithm, a combination of some nonparametric and parametric filters. …”
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Graph coloring program of exam scheduling modeling based on bitwise coloring algorithm using python
Published 2022“…The researchers develop a graph coloring algorithm by considering some of the graph vertices to be binary numbers. …”
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The compact genetic algorithm for likelihood estimator of first order moving average model
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Optimization of Prediction Error in CO2 Laser Cutting process by Taguchi Artificial Neural Network Hybrid with Genetic algorithm
Published 2013“…To overcome such problem, a hybrid genetic algorithm-based Taguchi ANN (GA-Taguchi ANN) has been developed. …”
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A novel swarm-based optimisation algorithm inspired by artificial neural glial network for autonomous robots
Published 2019“…Artificial neuro-glial networks is proposed to be combined in the swarm-based communication algorithm to provide a human-like model for the robot's communication and optimization.…”
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Monograph -
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Dingle's Model-based EEG Peak Detection using a Rule-based Classifier
Published 2015“…In this study, the performances of four different peak models of time domain approach which are Dumpala's, Acir's, Liu's, and Dingle's peak models are evaluated for electroencephalogram (EEG) signal peak detection algorithm. …”
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Identification of non-linear dynamic systems using fuzzy system with constrained membership functions
Published 2004“…Main research directions in this field include the complexity reduction of fuzzy models models, structure identification of fuzzy system, and application of new or improved training algorithms. …”
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Thesis -
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Advances of metaheuristic algorithms in training neural networks for industrial applications
Published 2023“…Backpropagation; Gradient methods; Neural networks; Artificial neural network models; Complex applications; Exploration and exploitation; Gradient-based learning; Industry applications; Meta heuristic algorithm; Meta-heuristic search algorithms; Near-optimal solutions; Optimization…”
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Metaheuristics algorithms to identify nonlinear Hammerstein model: A decade survey
Published 2022“…Besides introducing a complete survey on the various population-based algorithms to identify the Hammerstein model, this paper also investigated some empirically verified actual process plants results. …”
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Dynamic replication algorithm in data grid: Survey
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Real-time Traffic Classification Algorithm Based on Hybrid of Signature Statistical and Port to Identify Internet Applications
Published 2014“…The three common classification methods i.e. port, payload and statistics based have some limitations. This paper exploits the advantages of all the three methods by combining them to produce a new classification algorithm called SSPC (Signature Statistical Port Classifier). …”
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Conference or Workshop Item
