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Showing 1 - 20 results of 621 for search '(( data scheduling algorithm ) OR ((( developing _ algorithm ) OR ( elements data algorithm ))))*', query time: 0.16s Refine Results
  1. 1
    Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing

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

    Published 2016
    “…A Master of Science thesis in Engineering Systems Management by Alia Al Sadawi entitled, "Efficient Dynamic Cost Scheduling Algorithm for Data Batch Process," submitted in May 2016. …”
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  2. 2
    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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  3. 3
    A Scatter search algorithm for exam scheduling. (c2006)

    A Scatter search algorithm for exam scheduling. (c2006) by Isahakian, Vatche Raffi

    Published 2006
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  4. 4
    Optimizing Energy Consumption of Cloud Computing IaaS

    Optimizing Energy Consumption of Cloud Computing IaaS by Mohamed, Huda Ibrahim

    Published 2017
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  5. 5
    Exam scheduling algorithms. (c1999)

    Exam scheduling algorithms. (c1999) by Mikati, Ziad

    Published 1999
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  6. 6
    Stochastic Search Algorithms for Exam Scheduling

    Stochastic Search Algorithms for Exam Scheduling by Mansour, Nashat

    Published 2007
    “…Then, we empirically compare the three proposed algorithms and FESP using realistic data. Our experimental results show that SA and GA produce good exam schedules that are better than those of FESP heuristic procedure. …”
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  7. 7
    Three-phase approach for curriculum-based course timetabling problem. (c2012)

    Three-phase approach for curriculum-based course timetabling problem. (c2012) by Jazzar, Hanaa Salem El-

    Published 2012
    Subjects: “…Scheduling -- Data processing…”
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  8. 8
    Proactive Fault Tolerance and Minimizing Task Execution Failure in A Cloud Data Center

    Proactive Fault Tolerance and Minimizing Task Execution Failure in A Cloud Data Center by Kandil, Ayman

    Published 2024
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  9. 9
    Three-phase simulated annealing algorithms for exam scheduling

    Three-phase simulated annealing algorithms for exam scheduling by Mansour, Nashat

    Published 2003
    “…We empirically compare 3PSA with a 4-phase clustering-based heuristic algorithm using realistic data. Our experimental results show that 3PSA produces good exam schedules, which are better than those of the clustering heuristic procedure.…”
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  10. 10
    Simulated annealing and genetic algorithms for exam scheduling. (c1997)

    Simulated annealing and genetic algorithms for exam scheduling. (c1997) by Tarhini, Abbas A.

    Published 1997
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  11. 11
    Delay Optimization in LoRaWAN by Employing Adaptive Scheduling Algorithm With Unsupervised Learning

    Delay Optimization in LoRaWAN by Employing Adaptive Scheduling Algorithm With Unsupervised Learning by Zulfiqar Ali (117651)

    Published 2023
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  12. 12
    Development of an Optimization Algorithm for Internet Data Traffic

    Development of an Optimization Algorithm for Internet Data Traffic by Misbahuddin, Syed

    Published 2020
    “…The algorithm monitors data repetitions in IP datagram and prepares a compression code in response of this repetition. …”
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  13. 13
    On-site workshop investment problem: A novel mathematical approach and solution procedure

    On-site workshop investment problem: A novel mathematical approach and solution procedure by Nima Moradi (19418821)

    Published 2023
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  14. 14
    Development of Energy-efficient Algorithms for Wireless Sensor Networks

    Development of Energy-efficient Algorithms for Wireless Sensor Networks by unknown

    Published 2020
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  15. 15
    Optimized Load-Scheduling Algorithm for CubeSat's Electric Power System Management Considering Communication Link

    Optimized Load-Scheduling Algorithm for CubeSat's Electric Power System Management Considering Communication Link by Bayan Hussein (16904856)

    Published 2023
    “…The solution obtained shows that the proposed scheduling algorithm meets the communication system's requirements while conserving power and energy resources.…”
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  16. 16
    Minimizing Deadline Misses of Mobile IoT Requests in a Hybrid Fog- Cloud Computing Environment

    Minimizing Deadline Misses of Mobile IoT Requests in a Hybrid Fog- Cloud Computing Environment by Omer, Dalia Fatahelrahman

    Published 2019
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  17. 17
    MoveSchedule

    MoveSchedule by Zouein, Pierette

    Published 1995
    “…The timing of these needs is inferred from the activity schedule. The layout construction algorithm that underlies MoveSchedule uses Constraint Satisfaction to find the set of all positions that meet the constraints on resources' positions and Linear Programming to find the optimal positions that minimize resource transportation and relocation costs. …”
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  18. 18
    Stochastic management of hybrid AC/DC microgrids considering electric vehicles charging demands

    Stochastic management of hybrid AC/DC microgrids considering electric vehicles charging demands by Peng, Wang

    Published 2020
    “…In order to model the uncertainty effects, a data-driven framework based on point estimate method and support vector machine is developed. …”
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  19. 19
    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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  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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