Search Results - (( using estimation mining algorithm ) OR ( java application optimized 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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3
Expectation maximization clustering algorithm for user modeling in web usage mining system
Published 2009“…In this study we advance a model for mining of user’s navigation pattern. The model is based on expectation-maximization (EM) algorithm and it is used for finding maximum likelihood estimates of parameters in probabilistic models, where the model depends on unobserved latent variables. …”
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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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Tree-based contrast subspace mining method
Published 2020“…Those subspaces are termed as contrast subspaces. All existing mining contrast subspace methods (i.e. CSMiner and CSMiner-BPR) use density-based likelihood contrast scoring function to estimate the likelihood of a query object to target class against other class in a subspace. …”
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Thesis -
6
Estimating 1-MCP application for Kampuchea guava with data mining technology
Published 2018“…The classification models can then be used for estimating the 1-MCP application fast whenever there are new data available. …”
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Machine Learning Regression Approach for Estimating Energy Consumption of Appliances in Smart Home
Published 2024“…This paper attempts to use machine learning algorithms to estimate the energy consumption of appliances in a smart home environment. …”
Conference Paper -
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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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10
An application of IPA approach on the optimization of a mining port stockyard system
Published 2002“…The results show that PARMSR algorithm applying IPA can be used to estimate the optimal cost function in subsystem 1 with a high level of confidence. …”
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Proceeding Paper -
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Data mining techniques for disease risk prediction model: A systematic literature review
Published 2023Conference Paper -
12
Ant colony optimization algorithm for load balancing in grid computing
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Monograph -
13
Using language-based search in mining large software repositories
Published 2011“…The retrieved data were later used to estimate the quality of the open source software.…”
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Proceeding Paper -
14
Using language-based search in mining large software repositories
Published 2011“…The retrieved data were later used to estimate the quality of the open source software.…”
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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 -
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Datasets Size: Effect on Clustering Results
Published 2013“…In this paper, we proposed a research technique that implements descriptive algorithms on numeric datasets of varied sizes. We modeled each subset of our data using EM clustering algorithm; two different numbers of partitions (k) were estimated and used for each experiment. …”
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19
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 -
20
A comparative effectiveness of hierarchical and non-hierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions
Published 2022“…In particular, the regional quantile estimates can provide a more accurate estimation compared to at-site quantile estimates using an appropriate statistical distribution.…”
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