Search Results - (( problem representation model algorithm ) OR ( java application learning algorithm ))
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Object-Oriented Programming semantics representation utilizing agents
Published 2011“…Novices tend to refer to source codes examples and adapt the source codes to the problem given in their assignments. To cater the problems faced by these novices, a novel agent-based model have been designed to assist them in comprehending OOP concepts through source codes examples. …”
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Ball surface representations using partial differential equations
Published 2015“…This algorithm is then tested in positivity preserving of surface and image enlargement problems. …”
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Optimization of Upstream Offshore Oilfield Production Planning under Uncertainty and Downstream Crude Oil Scheduling at Refinery Front-End
Published 2009“…The stochastic model is a more thorough representation of the problem because it considers all the uncertainties along with the associated probabilities. …”
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Final Year Project -
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Optimization of Upstream Offshore Oilfield Production Planning under Uncertainty and Downstream Crude Oil Scheduling at Refinery Front-End
Published 2012“…The stochastic model is a more thorough representation of the problem because it considers all the uncertainties along with the associated probabilities. …”
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Final Year Project -
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Malicious URL Detection with Distributed Representation and Deep Learning
Published 2023Conference Paper -
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USING LATENT SEMANTIC INDEXING FOR DOCUMENT CLUSTERING
Published 2010“…Based on the new representation, the documents are then subjected to the clustering algorithm itself, which is Fuzzy c-Means algorithm. …”
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Bus Driver Scheduling System via Genetic Algorithm with Enhanced Crossover Mechanism
Published 2009“…The model has efficiently solved the bus driver scheduling problem in the case of Universiti Utara Malaysia (UUM). …”
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Extremal region detection and selection with fuzzy encoding for food recognition
Published 2019“…Three algorithms were used to accomplish the task of feature representation. …”
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Crossover and mutation operators of real coded genetic algorithms for global optimization problems
Published 2016“…This study is primarily aimed at investigating two issues in genetic algorithm (GA) and one issue in conformational search (CS) problems. …”
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Document classification based on kNN algorithm by term vector space reduction
Published 2023Conference Paper -
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An Efficient Genetic Algorithm for Large Scale Vehicle Routing Problem Subject to Precedence Constraints
Published 2015“…In this study, the vehicle routing problem subject to precedence constraints has been modeled as the Travelling Salesman Problem (TSP) with precedence constraints. …”
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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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Implementation of case-based reasoning in help desk system
Published 2019“…Besides of time consuming when solving customers’ problem, the personnel also faced inherently knowledge problem during help desk operation and difficulty in assessing abundant case data without a systematic system. …”
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Undergraduates Project Papers -
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Penggunaan kaedah algoritma genetik dalam permasalahan penjadualan PCB: kajian kes di industri elektronik
Published 2010“…Genetic algorithm formulation included chromosome representations and genetic operators have been developed to suit the scheduling problems that take into account the alternative production lines. …”
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Learning representations of network traffic using deep neural networks for network anomaly detection: A perspective towards oil and gas it infrastructures
Published 2020“…The comparisons were performed using well known model evaluation parameters. Results showed that deep representations are a promising feature in engineering replacement to develop anomaly detection models for IT infrastructure security. …”
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Modelling of assembly sequence planning problem using base part concept
Published 2018“…Recently, various research works have been done to optimize the ASP problem using different optimization algorithms. Besides the algorithm efficiency, another factor that directly contributed to the quality of the solution is how the problem is modelled. …”
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