Search Results - (( process setting based algorithm ) OR ( java application learning algorithm ))
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Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform
Published 2009“…The development of this architecture is based on several programming language as it involves algorithm implementation on C, parallelization using Parallel Virtual Machine (PVM) and Java for web services development. …”
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Clustering chemical data set using particle swarm optimization based algorithm
Published 2008“…The biological activities of these compounds have a large significance in the process of designing and discovering new drugs. Many algorithms had been applied to cluster chemical data set such as Ward’s algorithm. …”
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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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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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Enhanced gravitational search algorithm for nano-process parameter optimization problem / Norlina Mohd Sabri
Published 2020“…Based on the capabilities of the metaheuristic algorithms, this research is proposing the enhanced Gravitational Search Algorithm (eGSA) to solve the nano-process parameter optimization problem. …”
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Optimized clustering with modified K-means algorithm
Published 2021“…Empirical evidences based on simulated data sets indicated that the proposed modified k-means algorithm is able to recognise the optimum number of clusters for uncorrelated data sets. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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Enhanced marking process (EMP) for constructing dominating set in mobile ad-hoc networks with unidirectional links
Published 2014“…An enhanced distributed algorithm is presented that is based on the marking process which is has been introduced in earlier work. …”
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A filtering algorithm for efficient retrieving of DNA sequence
Published 2009“…An automaton-based algorithm is used to develop the filtering process proposed. …”
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Warpage analysis on thick shell part using response surface methodology (RSM) and bat algorithm (BA) to optimize parameter setting in injection molding process
Published 2018“…BA will optimize the process parameters setting and improve warpage value based on the results in AMI. …”
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Development Of Machine Learning User Interface For Pump Diagnostics
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Cassification of breast tumor based on ultrasound images
Published 2009“…To test this theory, the algorithm is used to process another set of ultrasound images of unknown characteristics. …”
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DTWFF-pitch feature and faster neural network convergence for speech recognition
Published 2007“…The processed features are pitch and Linear Predictive Coefficients (LPC) for input and reference templates, based on Dynamic Time Warping (DTW) algorithm. …”
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A federated usage control framework with ontology-based policy and elimination of irrelevant rules set algorithm for grid computing authorization
Published 2019“…This thesis aims at providing solutions to the problem by introducing an authorization framework, namely the Federated Grid Usage Control (FGUC) with a new ontology-based policy model, namely, the UCON based Access Control Ontology (UBACO), and a new grid authorization algorithm, namely, the Elimination of the Irrelevant Authorization Rules Set (EIARS). …”
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Comparison between starter sets generation method for listing all permutations
Published 2013“…distinct permutations is an exhaustive process.Using starter set, the process of listing the permutations becomes easy.However a problem arises when the equivalence starter sets will generate the similar permutation and needed to be discarded.Two new recursive strategies are proposed to generate starter sets without generating equivalence starter sets namely circular and exchange two elements operation.Once the starter sets are obtained, the circular and reverse of circular operation are employed to produce distinct permutation from each starter sets.Computational advantages are presented comparing the results obtained by the new method with two other existing methods.The result indicates that the exchange two elements based strategy is faster than the circular based.Overall all new algorithms are better than existing algorithms in time execution.…”
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A new ant based rule extraction algorithm for web classification
Published 2011“…Using Classifier-based attribute subset selection will reduce more attributes, but sacrifice the performance of the classifier.A hybrid ant colony optimization with simulated annealing algorithm to discover rules from data is proposed.The simulated annealing technique will minimize the problem of low quality discovered rule by an ant in a colony.The best rule for a colony will then be chosen and later the best rule among the colonies will be included in the rule set.The best rule for a colony will then be chosen and later the best rule among the colonies will be included in the rule set.The rule set is arranged in decreasing order of generation.Thirteen data sets which consist of discrete and continuous data were used to evaluate the performance of the proposed algorithm in terms of accuracy, number of rules and number of terms in the rules.Experimental results obtained from the proposed algorithm are comparable to the results of the Ant-Miner algorithm in terms of rule accuracy but are better in terms of rule simplicity.…”
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Monograph -
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Neural network based model predictive control for a steel pickling process
Published 2009“…The proposed algorithm is tested for control of a steel pickling process in several cases in simulation such as for set point tracking, disturbance, model mismatch and presence of noise. …”
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Starter Set Generation Based on Factorial Numbers for Half Wing of Butterfly Representation
Published 2021“…The base theory is there ... number of distinct starter sets. …”
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