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يعرض 321 - 340 نتائج من 871 نتيجة بحث عن '(( elements method algorithm ) OR ((( data using algorithm ) OR ( solved using algorithm ))))', وقت الاستعلام: 0.12s تنقيح النتائج
  1. 321

    Artificial intelligence-based methods for fusion of electronic health records and imaging data حسب Farida Mohsen (16994682)

    منشور في 2022
    "…The most important question when using multimodal data is how to fuse them—a field of growing interest among researchers. …"
  2. 322

    BioNetApp: An interactive visual data analysis platform for molecular expressions حسب Ali M. Roumani (18615124)

    منشور في 2019
    "…BioNetApp also provides data clustering based on molecular concentrations using Self Organizing Maps (SOM), K-Means, K-Medoids, and Farthest First algorithms.…"
  3. 323

    Automatic keyword extraction from a real estate classifieds data set حسب Devassy, Dibin

    منشور في 2011
    "…We begin with designing data cleansing algorithms to verify different attributes of the real estate classified. …"
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  4. 324

    Data Endowment as a Digital Waqf: An Islamic Ethical Framework for AI Development حسب Abdulqadir J. Nashwan (11659453)

    منشور في 2025
    "…<p dir="ltr">In the era of artificial intelligence (AI), data is often called the new oil—an essential asset for training algorithms and fueling intelligent systems. …"
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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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    A Dynamic Programming Algorithm For Days-Off Scheduling With Sequence Dependent Labor Costs حسب Elshafei, M

    منشور في 2020
    "…This paper presents a dynamic programming (DP) algorithm for solving a labor scheduling problem with several realistic days-off scheduling constraints and a cost structure that depends on the work sequence for each employee. …"
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    article
  15. 335

    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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  16. 336

    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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    A Novel Genetic Trajectory Planning Algorithm With Variable Population Size for Multi-UAV-Assisted Mobile Edge Computing System حسب Muhammad Asim (2235472)

    منشور في 2021
    "…In the first phase, a genetic algorithm (GA) with a variable population size is used to update the deployment of SPs. …"
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    KNNOR: An oversampling technique for imbalanced datasets حسب Ashhadul Islam (16869981)

    منشور في 2021
    "…<p>Predictive performance of Machine Learning (ML) models rely on the quality of data used for training the models. However, if the training data is not balanced among different classes, the performance of ML models deteriorate heavily. …"