يعرض 241 - 260 نتائج من 730 نتيجة بحث عن '(( elements method algorithm ) OR ((( sample processing algorithms ) OR ( data using algorithm ))))', وقت الاستعلام: 0.17s تنقيح النتائج
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    Joint energy-distortion aware algorithms for cooperative video streaming over LTE networks حسب Yaacoub, Elias

    منشور في 2013
    "…In the proposed approach, mobiles are grouped into collaborative clusters using a low-complexity clustering algorithm. In each cluster, collaboration is implemented by having a cluster head send the content to other cluster members using a short-range wireless communications technology. …"
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    article
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    Power System Transient Stability Assessment Based on Machine Learning Algorithms and Grid Topology حسب Senyuk, Mihail

    منشور في 2023
    "…Features of transmission line maintenance were used to increase accuracy of estimation. Algorithms were tested using the test power system IEEE39. …"
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    article
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    Performance evaluation of load balancing algorithms for parallel single-phase iterative PDE solvers حسب Mansour, N.

    منشور في 1994
    "…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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    conferenceObject
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    Stochastic management of hybrid AC/DC microgrids considering electric vehicles charging demands حسب Peng, Wang

    منشور في 2020
    "…A novel evolving solution based on flower pollination algorithm is also proposed to solve the problem optimally. …"
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    article
  10. 250

    A Data-Driven Decision-Making Framework for Fleet Management in the Government Sector of Dubai حسب ALGHANEM, HANI SUBHI MOHD

    منشور في 2024
    "…My research aims to develop a data-driven decision support framework for fleet management, focusing on leveraging advanced algorithms, including decision trees and random forests, to generate domain-specific AI models. …"
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  11. 251

    K Nearest Neighbor OveRsampling approach: An open source python package for data augmentation حسب Ashhadul Islam (16869981)

    منشور في 2022
    "…This paper introduces K Nearest Neighbor OveRsampling (KNNOR) Algorithm — a novel data augmentation technique that considers the distribution of data and takes into account the k nearest neighbors while generating artificial data points. …"
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    KNNOR: An oversampling technique for imbalanced datasets حسب Ashhadul Islam (16869981)

    منشور في 2021
    "…Several techniques have been proposed in the literature to add some semblance of balance to the data sets by adding artificial data points. Synthetic Minority Oversampling Technique(SMOTE) and Adaptive Synthetic Sampling(ADASYN) are some of the commonly used techniques to deal with class imbalance. …"
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    Fast Transient Stability Assessment of Power Systems Using Optimized Temporal Convolutional Networks حسب Mohamed Massaoudi (16888710)

    منشور في 2024
    "…The proposed algorithm unlocks scalability and system adaptability to operational variability by adopting numeric imputation and missing-data-tolerant techniques. …"
  16. 256

    Machine Learning-Driven Prediction of Corrosion Inhibitor Efficiency: Emerging Algorithms, Challenges, and Future Outlooks حسب Najam Us Sahar Riyaz (22927843)

    منشور في 2025
    "…At the same time, virtual sample augmentation and genetic algorithm feature selection elevate sparse data performance, raising k-nearest neighbor models from R<sup>2</sup> = 0.05 to 0.99 in a representative thiophene set. …"
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    A Low-Cost Closed-Loop Solar Tracking System Based on the Sun Position Algorithm حسب E. H. Chowdhury (545276)

    منشور في 2019
    "…In contrast, the sun position algorithms use mathematical formula or astronomical data to obtain the station of the sun at a particular geographical location and time. …"
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    Data-driven robust model predictive control for greenhouse temperature control and energy utilisation assessment حسب Farhat Mahmood (15468854)

    منشور في 2023
    "…First, an analytical model based on mass and energy balance and a data-driven model based on an artificial neural network is developed, and their prediction performance is compared. …"