Search Results - (( model evaluation case algorithm ) OR ( za information system algorithm ))
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Provider independent cryptographic tools
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Monograph -
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MOTION PLANNING ALGORITHM FOR VEHICLE PARKING SIMULATION
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Final Year Project -
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Implementing Aproiri Algorithm for Predicting Result Analysis
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Article -
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Parallel Processing of RSAAlgorithm Using MPI Library
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Final Year Project -
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Implementing Aproiri Algorithm for Predicting Result Analysis
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Article -
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A Map-matching Algorithm to Improve Vehicle Tracking Systems Accuracy
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Thesis -
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DATA CLASSIFICATION SYSTEM WITH FUZZY NEURAL BASED APPROACH
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Final Year Project -
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loformation Retrieval - using Porter Stemming Algorithm
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Final Year Project -
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Distributed Online Averaged One Dependence Estimator (DOAODE) Algorithm for Multi-class Classification of Network Anomaly Detection System
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Conference or Workshop Item -
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Distributed Online Averaged One Dependence Estimator (DOAODE) Algorithm for Multi-class Classification of Network Anomaly Detection System
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Conference or Workshop Item -
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Songs Search Using Human Humming Voice
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Final Year Project -
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Hybrid Artificial Bees Colony algorithms for optimizing carbon nanotubes characteristics
Published 2018“…Chemical Vapor Deposition (CVD) is the most efficient method for CNTs production.However,using CVD method encounters crucial issues such as customization,time and cost.Therefore,Response Surface Methodology (RSM) is proposed for modeling and the ABC-βHC is proposed for optimization purpose to address such issues.The selected CNTs characteristics are CNTs yield and quality represented by the ratio of the relative intensity of the D and G-bands (ID/IG).Six case studies are generated from collected dataset including four cases of CNTs yield and one case of ID/IG as single objective optimization problems,while the sixth case represents multi-objective problem.The input parameters of each case are a subset from the set of input parameters including reaction temperature,duration,carbon dioxide flow rate,methane partial pressure,catalyst loading,polymer weight and catalyst weight.The models for the first three case studies were mentioned in the original work.RSM is proposed to develop polynomial models for the output responses in the other three cases and to identi significant process parameters and interactions that could affect the CNTs output responses.The developed models are validated using t-test,correlation and pattern matching.The predictive results have a good agreement with the actual experimental data.The models are used as objective functions in optimization techniques.For multi-objective optimization,this study proposes Desirability Function Approach (DFA) to be integrated with other proposed algorithms to form hybrid techniques namely RSM-DFA,ABC-DFA and ABC-βHC-DFA.The proposed algorithms and other selected well-known algorithms are evaluated and compared on their CNTs yield and quality.The optimization results reveal that ABC-βHC and ABC-βHC-DFA obtained significant results in terms of success rate,required time,iterations,and function evaluations number compared to other well-known algorithms.Significantly,the optimization results from this study are better than the results from the original work of the collected dataset.…”
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Thesis -
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WEBCAM MOTION DETECTION USINGVISUAL BASIC
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Final Year Project -
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