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Parallel Algorithms for Distinguishing Nondeterministic Finite State Machines
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doctoralThesis -
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Sentiment analysis for Arabizi in social media. (c2015)
Published 2015“…We took the initiative to make use of this abundance of data by analyzing it and predicting sentiment. …”
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masterThesis -
66
Efficient Approximate Conformance Checking Using Trie Data Structures
Published 2021“…Conformance checking compares a process model and recorded executions of a process, i.e., a log of traces. …”
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Prediction of pressure gradient for oil-water flow: A comprehensive analysis on the performance of machine learning algorithms
Published 2022“…A Friedman's test and Wilcoxon Sign-Rank post hoc analysis with Bonferroni correction show that PG prediction errors using GP are significantly lower than using the ANN model (p < 0.05). …”
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Correlation Clustering via s-Club Cluster Edge Deletion
Published 2023Subjects: “…Cluster analysis -- Data processing…”
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masterThesis -
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A method for efficient NoC test scheduling using deterministic routing
Published 2017“…This paper presents a method for NoCs test scheduling using simulated annealing. The method uses a deterministic routing algorithm that minimizes test time while avoiding blocking. …”
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Performance assessment and exhaustive listing of 500+ nature-inspired metaheuristic algorithms
Published 2023“…In addition, these new algorithms, compared against basic versions of other metaheuristics using classical benchmark problems, show competitive performances. …”
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A method for the minimum coloring problem using genetic algorithms
Published 2006“…The algorithm was implemented and tested on various set of instances including large DIMACS challenge benchmark graphs, all yielding favorable results.…”
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conferenceObject -
75
Economic load dispatch using memetic sine cosine algorithm
Published 2022“…In this paper, the economic load dispatch (ELD) problem which is an important problem in electrical engineering is tackled using a hybrid sine cosine algorithm (SCA) in a form of memetic technique. …”
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Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering
Published 2022“…This paper proposes a new data clustering method using the advantages of metaheuristic (MH) optimization algorithms. …”
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Data Embedding in HEVC Video by Modifying the Partitioning of Coding Units
Published 2019Get full text
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Data of simulation model for photovoltaic system's maximum power point tracking using sequential Monte Carlo algorithm
Published 2024“…Additionally, these data can be readily applied to compare algorithmic results referenced by (Babu, T.S. et al., 2015; PrasanthRam, J. et al., 2017) [2,3], and contribute to the development of new processes for practical applications.…”
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