Search Results - (( parameter information making algorithm ) OR ( java application customization algorithm ))
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Enhancing obfuscation technique for protecting source code against software reverse engineering
Published 2019“…An attacker can easily reconstruct source code from such intermediate formats to extract sensitive information such as proprietary algorithms present in the software. …”
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The development of virtual product life cycle design tool using artificial intelligence technique
Published 2008“…The generated features from code classification algorithm give the information of machining parameter through the mapping algorithm. …”
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An Alternative Algorithm for Soft Set Parameter Selection using Special Order
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An Interval-Valued Fuzzy Soft Set Based Decision Making Approach Considering Weight
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Application of induced preorderings in score function-based method for solving decision-making with interval-valued fuzzy soft information
Published 2021“…Currently, there are three interval-valued fuzzy soft set-based decision-making algorithms in the literature. However, these algorithms are not able to overcome the issue of comparable alternatives and, in fact, might be ignored due to the lack of a comprehensive priority approach. …”
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A comparative study for parameter selection in online auctions
Published 2009“…Due to the complex and dynamic nature of the online auction, one of the strategies employed is using genetic algorithm to discover the best strategy. Hence, this work attempts to improve an existing bidding strategy by taking into accounts the evolution of various model of generic algorithm in optimizing the parameter of the bidding strategies. …”
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Strategic oscillation for exploitation and exploration of ACS algorithm for job scheduling in static grid computing
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Optimizing capacitated electric vehicle route in logistic operations
Published 2024“…Key parameters, such as the number of ants, pheromone influence, heuristic information, and evaporation rate, were optimized using the Taguchi method. …”
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Final Year Project / Dissertation / Thesis -
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Smart diagnosis of long bone tumor / Mazni Parimin
Published 2005“…Here, backpropagation training algorithm will be used and network parameters will be set. …”
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Student Project -
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Meta-scheduler in Grid environment with multiple objectives by using genetic algorithm
Published 2006“…Its objectives are to minimize the average waiting time and make-span time. The minimization is proposed by using a multiple objective genetic algorithm (GA), because the job scheduling problem is NP-hard problem. …”
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Estimation of the Epidemiological Parameter for the COVID-19 Outbreak
Published 2024“…Estimation of the epidemiological parameters of the SIRD model is crucial for understanding the virus's transmission and effect of the virus, thus, helping in making informed decisions about the required interventions. …”
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Deep learning model for predicting and detecting overlapping symptoms of cardiovascular diseases in hospitals of UAE
Published 2012“…Hence, the best clinical applications of DL require considerate problem solving solution, selection of the most suitable DL algorithms and information, and defining balance of outcome. …”
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An enhanced support vector regression -African Buffalo optimisation algorithm for electricity time series forecasting
Published 2023“…The proposed SVReABO algorithm holds significant implications for improving load forecasting accuracy, enabling more efficient electricity grid management, and facilitating informed decision-making for energy providers and consumers…”
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Calibration of optical based silicone tactile sensor based on image deformation technique / Abdul Halim Esa
Published 2016“…Based on these three parameters, three different types of algorithm are developed in order to measure experimentally the forces and deformation based on optical information of the tactile sensor. …”
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Hybrid meta-heuristic algorithm for solving multi-objective aggregate production planning in fuzzy environment
Published 2017“…On the other hand, consideration of all parameters in an APP model makes the generation of a master production schedule deeply complicated especially in real-world APP problems, where input data or parameters are frequently imprecise (fuzzy) due to incomplete or un obtain able information and daily changes patterns of demand and manufacturers capacity (Sakalhet al., 2010). …”
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