Search Results - (( risk simulation model algorithm ) OR ( java application optimization algorithm ))
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Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
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Conference or Workshop Item -
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Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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Route Optimization System
Published 2005“…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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Final Year Project -
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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Article -
6
An immunological-based simulation: A case study of risk concentration for mobile spam context assessment
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journal::journal article -
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Competing risks for reliability analysis using Cox’s model
Published 2007“…Originality/value – A modification of the two competing risk models has mostly been applied in failure time data and simulation data. …”
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Article -
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Ant colony optimization algorithm for load balancing in grid computing
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Monograph -
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Algorithm comparison for data mining classification: assessing bank customer credit scoring default risk
Published 2024“…This study uses machine learning approaches to simulate consumer credit risk and compares the results to the logistic model, determining if machine learning improves client default ratings. …”
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Article -
10
Modeling And Control Of V-Groove Rotary Impact Driver
Published 2020“…A state-flow control algorithm is developed on the model to improve the mentioned shortfalls. …”
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Thesis -
11
Ensemble Dual Algorithm Using RBF Recursive Learning for Partial Linear Network
Published 2011“…Relative mass released of the leakage is introduced as the input for the simulation model and the data from the simulation model is taken at real time (on-line) to feed into the recursive algorithms for updating the linear weight. …”
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Book Section -
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Sensitivity-based fuzzy multi-objective portfolio model with Value-at-Risk
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Article -
14
Computer Lab Timetabling Using Genetic Algorithm Case Study - Unit ICT
Published 2006“…Genetic Algorithm is one of the most popular optimization solutions used in various applications such as scheduling. …”
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Thesis -
15
Managing risk in production scheduling under uncertain disruption
Published 2015“…In this paper, we have studied JSPs under sudden machine breakdown scenarios that introduce a risk of not completing the jobs on time. We have first solved JSPs using an improved memetic algorithm and extended the algorithm to deal with the disruption situations, and then developed a simulation model to analyze the risk of using a job order and delivery scenario. …”
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Article -
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A multi-objective portfolio selection model with fuzzy Value-at-Risk ratio
Published 2018“…Then the proposed model is solved by a fuzzy simulation-based multi-objective particle swarm optimization algorithm, where the global best of each iteration is determined by an improved dominance times-based method. …”
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Article -
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A multi-objective portfolio selection model with fuzzy Value-at-Risk ratio
Published 2018“…Then the proposed model is solved by a fuzzy simulation-based multi-objective particle swarm optimization algorithm, where the global best of each iteration is determined by an improved dominance times-based method. …”
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Slice sampler algorithm for generalized pareto distribution
Published 2018“…In this paper, we developed the slice sampler algorithm for the generalized Pareto distribution (GPD) model. …”
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Article -
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Examination timetabling using genetic algorithm case study: KUiTTHO
Published 2005“…Genetic Algorithm (GA) is one of the most popular optimization solutions. …”
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Thesis
