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Showing 1 - 20 results of 115 for search '(( element data algorithm ) OR ((( text processing algorithm ) OR ( level scheduling algorithm ))))', query time: 0.14s Refine Results
  1. 1
    Scheduling and allocation in high-level synthesis using genetic algorithm

    Scheduling and allocation in high-level synthesis using genetic algorithm by Ali, Shahid

    Published 1994
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  2. 2
    Activity-level space scheduling

    Activity-level space scheduling by Zouein, Pierrette P.

    Published 1992
    “…Activity-level space scheduling involves allocating site space over time to static and dynamic construction resources such as robots. …”
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  3. 3
    Loop based scheduling for high level synthesis

    Loop based scheduling for high level synthesis by Al-Sukhni, H.F.

    Published 1995
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  4. 4
    Improvement Algorithm for Limited Space Scheduling

    Improvement Algorithm for Limited Space Scheduling by Zouein, Pierrette

    Published 2001
    “…The model characterizes resource space requirements over time and establishes a time-space relationship for each activity in the schedule, based on alternative resource levels. An example illustrates the presented algorithm that generates a feasible space schedule.…”
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  5. 5
    Arabic Text Classification Using Modified Artificial Bee Colony Algorithm for Sentiment Analysis: The Case of Jordanian Dialect

    Arabic Text Classification Using Modified Artificial Bee Colony Algorithm for Sentiment Analysis: The Case of Jordanian Dialect by Habeeb, Abdallah

    Published 2022
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  6. 6
    Energy-Aware Qos Scheduling at Mac Level in Wimax

    Energy-Aware Qos Scheduling at Mac Level in Wimax by Al Nourani , Sanabel

    Published 2011
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  7. 7
    Scheduling and allocation in high-level synthesis using stochastic techniques

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

    Published 2020
    “…In this work, a unique approach to scheduling and allocation problem using the genetic algorithm (GA) is described. …”
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  8. 8
    A Review for the Genetic Algorithm and the Red Deer Algorithm Applications

    A Review for the Genetic Algorithm and the Red Deer Algorithm Applications by Abu Zitar, Raed

    Published 2021
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  9. 9
    Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing

    Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing by Al Sadawi, Alia

    Published 2016
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  10. 10
    Concurrent BIST Synthesis and Test Scheduling Using Genetic Algorithms

    Concurrent BIST Synthesis and Test Scheduling Using Genetic Algorithms by Harmanani, H. M.

    Published 2007
    “…This paper presents an efficient method for concurrent built-in self-test synthesis and test scheduling in high-level synthesis. The method maximizes concurrent testing of modules while performing the allocation of functional units, test registers, and interconnects. …”
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  11. 11
    A Review of the Genetic Algorithm and JAYA Algorithm Applications

    A Review of the Genetic Algorithm and JAYA Algorithm Applications by Abu Zitar, Raed

    Published 2022
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  12. 12
    Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain

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

    Published 2021
    “…An iterative dynamic scheduling algorithm (DCSDBP) was developed to address the data batching process. …”
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  13. 13
    A Novel Hybrid Genetic-Whale Optimization Model for Ontology Learning from Arabic Text

    A Novel Hybrid Genetic-Whale Optimization Model for Ontology Learning from Arabic Text by M. Ghoniem , Rania

    Published 2019
    “…Second, a hybrid genetic-whale optimization algorithm was proposed to optimize ontology learning from Arabic text. …”
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  14. 14
    Cyberbullying Detection Model for Arabic Text Using Deep Learning

    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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  15. 15
    Comparative Study on Arabic Text Classification: Challenges and Opportunities

    Comparative Study on Arabic Text Classification: Challenges and Opportunities by Abualigah, Laith

    Published 2022
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  16. 16
    A systematic review of text classification research based on deep learning models in Arabic language

    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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  17. 17
    Design of acoustic absorbing metasurfaces using a data-driven approach

    Design of acoustic absorbing metasurfaces using a data-driven approach by Hamza Baali (14603380)

    Published 2023
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  18. 18
    MoveSchedule

    MoveSchedule by Zouein, Pierette

    Published 1995
    “…MoveSchedule establishes a time-space relationship for each activity in the schedule based on alternative resource levels so that tradeoffs between activity duration and space need on site are possible. …”
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  19. 19
    Meta-Heuristic Procedures for the Multi-Resource Leveling Problem with Activity Splitting

    Meta-Heuristic Procedures for the Multi-Resource Leveling Problem with Activity Splitting by AlSayegh, Hadeel Yacoub

    Published 2011
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  20. 20
    Bird’s Eye View feature selection for high-dimensional data

    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. …”
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