يعرض 21 - 40 نتائج من 145 نتيجة بحث عن '(( elements method algorithm ) OR ((( data groups algorithm ) OR ( data scheduling algorithm ))))', وقت الاستعلام: 0.12s تنقيح النتائج
  1. 21

    MoveSchedule حسب Zouein, Pierette

    منشور في 1995
    "…MoveSchedule is validated using realistic project data and its solution is qualitatively assessed by an experienced engineer on that project.…"
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    masterThesis
  2. 22

    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. …"
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    article
  3. 23

    Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm حسب Abu Zitar, Raed

    منشور في 2022
    "…Researchers have scrutinized data hiding schemes in recent years. Data hiding in standard images works well, but does not provide satisfactory results in distortion-sensitive medical, military, or forensic images. …"
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  4. 24
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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
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    A reduced model for phase-change problems with radiation using simplified PN approximations حسب Belhamadia, Youssef

    منشور في 2025
    "…The integro-differential equation for the full radiative transfer is replaced by a set of differential equations which are independent of the angle variable and easy to solve using conventional computational methods. To solve the coupled equations, we implement a second-order implicit scheme for the time integration and a mixed finite element method for the space discretization. …"
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    article
  8. 28

    Distributed Tree-Based Machine Learning for Short-Term Load Forecasting With Apache Spark حسب Ameema Zainab (16864263)

    منشور في 2021
    "…The paper proposes a concurrent job scheduling algorithm in a multi-energy data source environment using Apache Spark. …"
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    Predicting Dropouts among a Homogeneous Population using a Data Mining Approach حسب BILQUISE, GHAZALA

    منشور في 2019
    "…Our research relies solely on pre-college and college performance data available in the institutional database. Our research reveals that the Gradient Boosted Trees is a robust algorithm that predicts dropouts with an accuracy of 79.31% and AUC of 88.4% using only pre-enrollment data. …"
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  11. 31

    On end-to-end scheduling in wireless cellular networks حسب Saad, Walid

    منشور في 2008
    "…Wireless cellular networks are required to meet the stringent QoS requirements of emerging data services. To efficiently utilize the available radio resources, we propose a new resource allocation algorithm for services that require end-to-end guarantees. …"
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    conferenceObject
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    Starvation Problem in CPU Scheduling for Multimedia Systems حسب Salah, Khaled

    منشور في 2002
    "…Multimedia applications have timing requirements that cannot generally be satisfied using the time-sharing algorithms of general-purpose operating systems. Integrating discrete and continuous data of digital audio and video requires additional services from operating systems, especially handling of time-constrained characteristics of continuous media data, which poses a real-time characteristics on the underlying scheduler. …"
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    article
  14. 34

    Monitoring Bone Density Using Microwave Tomography of Human Legs: A Numerical Feasibility Study حسب Alkhodari, Mohanad Ahmed

    منشور في 2021
    "…This study was performed using an in-house finite-element method contrast source inversion algorithm (FEM-CSI). …"
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    article
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    Deep Reinforcement Learning for Resource Constrained HLS Scheduling حسب Makhoul, Rim

    منشور في 2022
    "…The two main steps in HLS are: operations scheduling and data-path allocation. In this work, we present a resource constrained scheduling approach that minimizes latency and subject to resource constraints using a deep Q learning algorithm. …"
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    Design of adaptive arrays based on element position perturbations حسب Dawoud, M.M.

    منشور في 1993
    "…The main advantage of using this technique over the other commonly used methods is that the amplitudes and phases of the array elements can be used mainly to steer the main beam towards the desired signal. …"
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    article
  19. 39

    Scheduling and allocation in high-level synthesis using stochastic techniques حسب Sait, Sadiq M.

    منشور في 2020
    "…In this work, a unique approach to scheduling and allocation problem using the genetic algorithm (GA) is described. …"
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    article
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