Showing 21 - 40 results of 155 for search '(( test processing algorithm ) OR ((( elements custom algorithm ) OR ( element data algorithm ))))', query time: 0.19s Refine Results
  1. 21

    Severity-Based Prioritized Processing of Packets with Application in VANETs by Ala Al-Fuqaha (4434340)

    Published 2019
    “…Also, the proposed heuristic is tested against a non-prioritized processing algorithm that works using first come first served policy. …”
  2. 22

    An Uncertainty Based Genetic Algorithm Approach for Project Resource Scheduling by ALKETBI, SAIF

    Published 2016
    “…The genetic algorithm was tested on several projects from the existing databases and on one new project to the validity of the approach. …”
    Get full text
  3. 23
  4. 24
  5. 25
  6. 26
  7. 27
  8. 28

    A Parallel Neural Networks Algorithm for the Clique Partitioning Problem by Harmanani, Haidar M.

    Published 2002
    “…A parallel simulator, based on PVM, was implemented for the proposed algorithm on a Linux Cluster. Many graphs were tested, all yielding optimum solutions…”
    Get full text
    Get full text
    article
  9. 29

    Environmental/economic power dispatch using multiobjective evolutionary algorithms by Abido, M.A.

    Published 2003
    “…This paper presents a new multiobjective evolutionary algorithm for environmental/economic power dispatch (EED) problem. …”
    Get full text
    Get full text
    article
  10. 30
  11. 31

    Economic load dispatch using memetic sine cosine algorithm by Abu Zitar, Raed

    Published 2022
    “…The results show that the performance of the SCA-βHC algorithm is increased by tuning its parameters in proper value. …”
    Get full text
  12. 32

    A hybridization of evolution strategies with iterated greedy algorithm for no-wait flow shop scheduling problems by Bilal Khurshid (16715865)

    Published 2024
    “…The performance of the HES-IG algorithm is calibrated with other algorithms using the Wilcoxon signed test. …”
  13. 33

    A Multiswarm Intelligence Algorithm for Expensive Bound Constrained Optimization Problems by Wali Khan Mashwani (14590504)

    Published 2021
    “…All these developed algorithms have some merits and also demerits. Particle swarm optimization (PSO), firefly algorithm, ant colony optimization (ACO), and bat algorithm (BA) have gained much popularity and they have successfully tackled various test suites of benchmark functions and real-world problems. …”
  14. 34
  15. 35

    A Modular Reconfigurable Architecture for Asymmetric and Symmetric-key Cryptographic Algorithms by Zaidi, Ali Mustafa

    Published 2007
    “…High throughput and low-cost implementation of these algorithms is critical for achieving both high security and high-speed processing in an increasingly digital global economy. …”
    Get full text
    masterThesis
  16. 36

    Sentiment analysis for Arabizi in social media. (c2015) by Tobaili, Taha

    Published 2015
    “…We filtered them and tested a small sample across our classifier achieving 80% classification accuracy. …”
    Get full text
    Get full text
    masterThesis
  17. 37

    Leveraging Machine and Deep Learning Algorithms for hERG Blocker Prediction by Syed Mohammad (21075689)

    Published 2025
    “…<p dir="ltr">The human ether-a-go-go-related (hERG) gene is crucial in enabling the regulation of repolarisation process in the heart. Some chemicals act as hERG blockers, resulting in prolonged QT intervals. …”
  18. 38

    Adapted arithmetic optimization algorithm for multi-level thresholding image segmentation: a case study of chest x-ray images by Abu Zitar, Raed

    Published 2023
    “…The solutions are evaluated using Otsu's fitness function throughout the optimization process. The picture histogram is used to display the algorithm's potential solutions. …”
    Get full text
  19. 39
  20. 40

    XBeGene: Scalable XML Documents Generator by Example Based on Real Data by Harazaki, Manami

    Published 2012
    “…Inspired by the query-by-example paradigm in information retrieval, Our generator system i)allows the user to provide her own sample XML documents as input, ii) analyzes the structure, occurrence frequencies, and content distributions for each XML element in the user input documents, and iii) produces synthetic XML documents which closely concur, in both structural and content features, to the user's input data. …”
    Get full text
    Get full text
    Get full text
    Get full text
    conferenceObject