يعرض 1 - 20 نتائج من 255 نتيجة بحث عن '(( element mould algorithm ) OR ((( data including algorithm ) OR ( path tracking algorithm ))))', وقت الاستعلام: 0.13s تنقيح النتائج
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    Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network حسب Mohammad Reza Chalak Qazani (13893261)

    منشور في 2024
    "…Additionally, the multi-objective genetic algorithm (MOGA) was utilised to extract the most optimal parameters for the injection moulding process, aiming to minimise shear and residual stress and thereby increase the resistance of the final product. …"
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    Variable Selection in Data Analysis: A Synthetic Data Toolkit حسب Mitra, Rohan

    منشور في 2024
    "…Variable (feature) selection plays an important role in data analysis and mathematical modeling. This paper aims to address the significant lack of formal evaluation benchmarks for feature selection algorithms (FSAs). …"
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    article
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    Physical optimization algorithms for mapping data to distributed-memory multiprocessors حسب Mansour, Nashat

    منشور في 1992
    "…We also present a technique for efficient mapping of large data sets. The algorithms include a parallel genetic algorithm (PGA), a parallel neural network algorithm (PNN) and a parallel simulated annealing algorithm (PSA). …"
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    masterThesis
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    Properties of simulated annealing and genetic algorithms for mapping data to multicomputers حسب Mansour, Nashat

    منشور في 1997
    "…We experimentally analyze some properties of simulated annealing algorithms (SA) and genetic algorithms (GA) for mapping data to multicomputers. …"
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    article
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    Parallel physical optimization algorithms for allocating data to multicomputer nodes حسب Mansour, Nashat

    منشور في 1994
    "…Three parallel physical optimization algorithms for allocating irregular data to multicomputer nodes are presented. …"
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    article
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    A Survey of Data Clustering Techniques حسب Sobeh, Salma

    منشور في 2023
    "…This survey examines seven widely recognized clustering techniques, namely k-means, G-means, DBSCAN, Agglomerative hierarchical clustering, Two-stage density (DBSCAN and k-means) algorithm, Two-levels (DBSCAN and hierarchical) clustering algorithm, and Two-stage MeanShift and K-means clustering algorithm and compares them over a real dataset - The Blockchain dataset, including prominent cryptocurrencies like Binance, Bitcoin, Doge, and Ethereum, under several metrics such as silhouette coefficient, Calinski-Harabasz, Davies-Bouldin Index, time complexity, and entropy.…"
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    masterThesis
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    UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data حسب Behrouz Ahadzadeh (19757022)

    منشور في 2024
    "…To improve the effectiveness and efficiency of the UniBFS algorithm, Redundant Features Elimination algorithm (RFE) is presented in this paper. …"
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    Limiting the Collection of Ground Truth Data for Land Use and Land Cover Maps with Machine Learning Algorithms حسب Usman Ali (6586886)

    منشور في 2022
    "…The accuracy of these algorithms was assessed with standard statistical measures and ground truth data randomly collected in Prince Edward Island, Canada. …"