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Showing 21 - 40 results of 112 for search '(((( task scheduling algorithm ) OR ( text processing algorithm ))) OR ( element data algorithm ))', query time: 0.13s Refine Results
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    CoLoSSI: Multi-Robot Task Allocation in Spatially-Distributed and Communication Restricted Environments by Ishaq Ansari (22047902)

    Published 2024
    “…We propose a cooperative, load-balancing task allocation and scheduling algorithm based on sequential single-item auctions (CoLoSSI) that explicitly considers the non-atomicity of tasks, promotes synergies between agents, and enables cooperation while maintaining computational tractability. …”
  4. 24

    A systematic review of text classification research based on deep learning models in Arabic language by Wahdan, Ahlam

    Published 2020
    “…Classifying or categorizing texts is the process by which documents are classified into groups by subject, title, author, etc. …”
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    Bird’s Eye View feature selection for high-dimensional data by Samir Brahim Belhaouari (16855434)

    Published 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. …”
  7. 27

    Segmenting Handwritten Arabic Text by Haraty, Ramzi A.

    Published 2002
    “…In this work a technique is presented that segments difficult handwritten Arabic text. A conventional algorithm is used for the initial segmentation of the text into connected blocks of characters. …”
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    article
  8. 28

    An efficient approach for textual data classification using deep learning by Abdullah Alqahtani (7128143)

    Published 2022
    “…<p dir="ltr">Text categorization is an effective activity that can be accomplished using a variety of classification algorithms. …”
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    Cyberbullying Detection in Arabic Text using Deep Learning by ALBAYARI, REEM RAMADAN SA’ID

    Published 2023
    “…The application of DL to cyberbullying detection problems within Arabic text classification can be considered a novel approach due to the complexity of the problem and the tedious process involved, besides the scarcity of relevant research studies. …”
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  10. 30

    Starvation Problem in CPU Scheduling for Multimedia Systems by Salah, Khaled

    Published 2002
    “…In this paper, we briefly describe three of the popular multimedia scheduling algorithms. We compare and discuss how adequate each algorithm is in handling the issue of starvation. …”
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    article
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    A Neuro-Heuristic Approach for Segmenting Handwritten Arabic Text by Haraty, Ramzi

    Published 2001
    “…A conventional algorithm is used for the initial segmentation of the text into connected blocks of characters. …”
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    conferenceObject
  12. 32

    Supervised term-category feature weighting for improved text classification by Attieh, Joseph

    Published 2022
    “…Text classification is a central task in Natural Language Processing (NLP) that aims at categorizing text documents into predefined classes or categories. …”
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    article
  13. 33

    Cyberbullying Detection Model for Arabic Text Using Deep Learning by Albayari, Reem

    Published 2023
    “…The application of DL to cyberbullying detection problems within Arabic text classification can be considered a novel approach due to the complexity of the problem and the tedious process involved, besides the scarcity of relevant research studies.…”
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    Topics in graph algorithms by Abu-Khzam, Faisal Nabih

    Published 2003
    “…This is a notable improvement over the previous best known algorithm, which runs in O(8kn). In addition to the structural and algorithmic results, this text tries to illustrate the practicality of fixed-parameter algorithms. …”
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    masterThesis
  20. 40

    Reinforcement R-learning model for time scheduling of on-demand fog placement by Farhat, Peter

    Published 2020
    “…Experiments comparing the decisions of our model with two other potential fog placement approaches used for task/service scheduling (threshold based and random based) show that the number of processed requests performed by the cloud decreases from 100 to 30% with a limited number of fogs to push. …”
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    article