بدائل البحث:
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
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A comparison of data mapping algorithms for parallel iterative PDE solvers
منشور في 1995"…We review and evaluate the performances of six data mapping algorithms used for parallel single-phase iterative PDE solvers with irregular 2-dimensional meshes on multicomputers. …"
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احصل على النص الكامل
article -
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An enhanced k-means clustering algorithm for pattern discovery in healthcare data
منشور في 2015"…This paper studies data mining applications in healthcare. Mainly, we study k-means clustering algorithms on large datasets and present an enhancement to k-means clustering, which requires k or a lesser number of passes to a dataset. …"
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احصل على النص الكامل
احصل على النص الكامل
article -
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Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain
منشور في 2021"…The primary tool used in the data supply chain is data batch processing which requires efficient scheduling. …"
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article -
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DG-Means – A Superior Greedy Algorithm for Clustering Distributed Data
منشور في 2022"…In this work, we present DG-means, which is a greedy algorithm that performs on distributed sets of data. …"
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احصل على النص الكامل
masterThesis -
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Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices
منشور في 2016الموضوعات: احصل على النص الكامل
doctoralThesis -
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A Robust Deep Learning Approach for Distribution System State Estimation with Distributed Generation
منشور في 2023"…Also, to evaluate the robustness of the algorithms, we test the neural network, without retraining it, on multiple scenarios with noisier data and bad data. …"
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احصل على النص الكامل
masterThesis -
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Next-generation energy systems for sustainable smart cities: Roles of transfer learning
منشور في 2022"…However, training machine learning algorithms to perform various energy-related tasks in sustainable smart cities is a challenging data science task. …"
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Deep Learning in Smart Grid Technology: A Review of Recent Advancements and Future Prospects
منشور في 2021"…Further, we taxonomically delve into the mechanism behind some of the trending DL algorithms. We then showcase the DL enabling technologies in SG, such as federated learning, edge intelligence, and distributed computing. …"
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Genetic and heuristic algorithms for regrouping service sites. (c2000)
منشور في 2000احصل على النص الكامل
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masterThesis -
59
A Survey of Data Clustering Techniques
منشور في 2023"…Clustering, an unsupervised learning technique, aims to identify a specific number of clusters to effectively categorize the data through data grouping. Hence, clustering is related to many fields and is used in various applications that deal with large datasets. …"
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احصل على النص الكامل
احصل على النص الكامل
masterThesis -
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