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Using genetic algorithms to optimize software quality estimation models
Published 2004“…This thesis explores the use of genetic algorithms for the problem of optimizing existing rule-based software quality estimation models. …”
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masterThesis -
22
Clustering/partitioning algorithms and comparative analysis
Published 1989Subjects: Get full text
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masterThesis -
23
Improved search-tree algorithms for the cluster edit problem. (c2011)
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masterThesis -
24
A Survey of Data Clustering Techniques
Published 2023Subjects: “…Cluster analysis -- Data processing…”
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masterThesis -
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Quality estimation models optimization using genetic algorithms: Case of maintainability
Published 1999Get full text
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conferenceObject -
27
Estimation of the methanol loss in the gas hydrate prevention unit using the artificial neural networks: Investigating the effect of training algorithm on the model accuracy
Published 2023“…Adjusting the weight and bias of the ANN model using an optimization algorithm is known as the training process. …”
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A decentralized load balancing strategy for parallel search-three optimization. (c2010)
Published 2010Subjects: “…Trees (Graph theory) -- Data processing…”
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masterThesis -
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A parallel search tree algorithm for vertex cover on graphical processing units. (c2013)
Published 2013Subjects: “…Trees (Graph theory) -- Data processing…”
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masterThesis -
31
A Graph Heuristic Approach for the Data Path Allocation Problem
Published 2022Subjects: “…Electronic circuits -- Data processing…”
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Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval
Published 2024“…<p dir="ltr">Fault detection and diagnosis (FDD) systems play a crucial role in maintaining the adequate execution of the monitored process. One of the widely used data-driven FDD methods is the Principal Component Analysis (PCA). …”
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Scalable parallel algorithms for dynamic programming on tree decomposition. (c2017)
Published 2017Subjects: “…Trees (Graph theory) -- Data processing…”
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masterThesis -
37
Prediction of EV Charging Behavior Using Machine Learning
Published 2021“…Using data-driven tools and machine learning algorithms to learn the EV charging behavior can improve scheduling algorithms. …”
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article -
38
Detecting Game Bugs Using Genetic Algorithms And Reachability Analysis Of Colored Petri Nets Models
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masterThesis -
39
Predictive Model of Psychoactive Drugs Consumption using Classification Machine Learning Algorithms
Published 2023“…Eighteen classification models were built using different classification algorithms such as Gaussian Naive Bais, Logistic Regression, k-nearest neighbors, Random Forest, and Decision Tree. …”
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Valuation of commodity option prices under a regime-switching model with stochastic convenience yield: Model calibration using flower pollination optimization algorithm
Published 2025“…Using the WTI crude oil spot prices, the parameters involved in the proposed commodity regime-switching model are estimated by expectation–maximization algorithm. …”