يعرض 421 - 440 نتائج من 1,056 نتيجة بحث عن '(((( data using algorithm ) OR ( problem using algorithm ))) OR ( element data algorithm ))*', وقت الاستعلام: 0.13s تنقيح النتائج
  1. 421

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

    منشور في 2011
    "…Keywords are considered to be a solution to this problem and are now widely used to search the information over the internet.In this project we analyze a real estate classifieds data set, with an objective to find keywords that represent this data set. …"
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  2. 422

    Application of Machine Learning Algorithms to Enhance Money Laundering and Financial Crime Detection حسب HAMDALLAH, KHALID WAJIH TURKI

    منشور في 2011
    "…In order to analyze the performance of machine learning algorithms, data was provided by a bank to be used for educational purposes and shall remain undisclosed. …"
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  3. 423
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    A data envelopment analysis model for opinion leaders’ identification in social networks حسب Hamed Baziyad (19273738)

    منشور في 2024
    "…Social Network Analysis (SNA)-based OLs finding methods deal with a considerable amount of data due to using entire relationships between all of the users in a network, which makes the algorithms time-consuming. …"
  6. 426

    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. …"
  7. 427

    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.…"
  8. 428

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

    منشور في 2022
    "…<p>Data is present in abundance, but the problem of imbalanced dataset crops up time and again, vexing classifiers and reducing accuracy. …"
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    A Novel BIPV Reconfiguration Algorithm for Maximum Power Generation under Partial Shading حسب Saoud A. Al-Janahi (18877213)

    منشور في 2020
    "…The system is optimised for maximum yield to determine the optimal configuration and number of modules for each string using a genetic algorithm. The outcomes from the algorithm are based on clustering the solar insolation values and then applying a genetic algorithm optimisation to indicate the optimum BIPV array layout for maximum yield.…"
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  14. 434

    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. 435
  16. 436

    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
  17. 437
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    Smart non-intrusive appliance identification using a novel local power histogramming descriptor with an improved k-nearest neighbors classifier حسب Yassine Himeur (14158821)

    منشور في 2021
    "…This proves the validity of using 2D descriptors to accurately identify appliances and create new perspectives for the NILM problem.…"
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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. …"