Search Results - (( variable streaming quality algorithm ) OR ( java application reoptimize algorithm ))

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  1. 1

    A Clustering Algorithm for Evolving Data Streams Using Temporal Spatial Hyper Cube by Al?amri R., Murugesan R.K., Almutairi M., Munir K., Alkawsi G., Baashar Y.

    Published 2023
    “…based Online Clustering for Evolving Data Stream (BOCEDS) results in a superior evolving data stream clustering algorithm. …”
    Article
  2. 2

    Providing dynamic TXOP for QoS support of video transmission in IEEE 802.11e WLANs by Al-Maqri, Mohammed A., Othman, Mohamed, Mohd Ali, Borhanuddin, Mohd Hanapi, Zurina

    Published 2015
    “…The proposed scheduling algorithm has been evaluated using simulation with different variability level video streams. …”
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  3. 3

    Evaluation of arima and ann stream analytics for air quality monitoring system by Nurmadiha, Osman

    Published 2021
    “…Pricewise, the existing monitoring system alone is expensive even though none of them are furnished with stream analytics. The thesis presents the design and development of an accurate air quality monitoring system equipped with streaming machine learning predictive analytics called Smart Environmental System (SES). …”
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    Thesis
  4. 4

    Adaptive multi-polling scheduler for QoS support of video transmission in IEEE 802.11e WLANs by Al-Maqri, Mohammed A., Othman, Mohamed, Mohd Ali, Borhanuddin, Mohd Hanapi, Zurina

    Published 2016
    “…In HCCA, the station is allocated a fixed transmission opportunity (TXOP) based on its TSPEC parameters so that it is efficient for constant bit rate streams. However, as the profile of variable bit rate traffics is inconstant, they are liable to experience a higher delay especially in bursty traffic case. …”
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  5. 5

    A mixed integer linear programming model for real-time task scheduling in multiprocessor computer system by Oluwadare, Samuel Adeboyo, Akinnuli, Basil Oluwafemi

    Published 2012
    “…There has been an upsurge in real-time multimedia applications in recent time.On a network, the ability of an average uni processor computer to handle such data may be limited due to the large size of such data.Also, there may be a high number of concurrent users who may want to retrieve data and the need to process them in real-time; and in continuous stream. This may lead to low quality service and deadline misses. …”
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    Article