يعرض 41 - 60 نتائج من 786 نتيجة بحث عن '(( data using algorithm ) OR ((( developing control algorithm ) OR ( element data algorithm ))))*', وقت الاستعلام: 0.13s تنقيح النتائج
  1. 41

    An enhanced k-means clustering algorithm for pattern discovery in healthcare data حسب Haraty, Ramzi A.

    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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    article
  2. 42

    Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain حسب Al Sadawi, Alia

    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
  3. 43

    DG-Means – A Superior Greedy Algorithm for Clustering Distributed Data حسب Assaf, Ali

    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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    masterThesis
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    Power Control Algorithms for Media Transmission in Remote Healthcare Systems حسب Ali Hassan Sodhro (18629392)

    منشور في 2018
    "…Thus, this paper first proposes a transmission power control (TPC)-based energy-efficient algorithm (EEA) for when a subject is in different postures, i.e., standing, walking, and running, in wireless body sensor networks. …"
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    XBeGene: Scalable XML Documents Generator by Example Based on Real Data حسب Harazaki, Manami

    منشور في 2012
    "…Inspired by the query-by-example paradigm in information retrieval, Our generator system i)allows the user to provide her own sample XML documents as input, ii) analyzes the structure, occurrence frequencies, and content distributions for each XML element in the user input documents, and iii) produces synthetic XML documents which closely concur, in both structural and content features, to the user's input data. …"
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    conferenceObject
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    Power System Transient Stability Assessment Based on Machine Learning Algorithms and Grid Topology حسب Senyuk, Mihail

    منشور في 2023
    "…In this study, the emergency control algorithms based on ensemble machine learning algorithms (XGBoost and Random Forest) were developed for a low-inertia power system. …"
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    article
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    A Survey of Data Clustering Techniques حسب Sobeh, Salma

    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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    masterThesis
  14. 54

    Development of multivariable PID controller gains in presence of measurement noise حسب Saab, Samer S.

    منشور في 2017
    "…The development of the proposed optimal algorithm is based on minimising a stochastic performance index in presence of erroneous initial conditions, white measurement noise, and white process noise. …"
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    article
  15. 55

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

    منشور في 2024
    "…The proposed framework comprises key elements: Important Decisions derived from interviews with transportation leaders, Knowledge Management enhanced by AI algorithms, Data Mining/Analysis utilizing historical data, the Fleet Management System employing Oracle ERP, and a Data-Driven Decision Support Framework that leans towards the extended framework approach. …"
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    Bird’s Eye View feature selection for high-dimensional data حسب Samir Brahim Belhaouari (16855434)

    منشور في 2023
    "…This approach is inspired by the natural world, where a bird searches for important features in a sparse dataset, similar to how a bird search for sustenance in a sprawling jungle. BEV incorporates elements of Evolutionary Algorithms with a Genetic Algorithm to maintain a population of top-performing agents, Dynamic Markov Chain to steer the movement of agents in the search space, and Reinforcement Learning to reward and penalize agents based on their progress. …"
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