Search alternatives:
processing algorithm » processing algorithms (Expand Search)
would algorithm » mould algorithm (Expand Search)
fold processing » melt processing (Expand Search)
element » elements (Expand Search)
update » updated (Expand Search)
Showing 1 - 20 results of 43 for search '(((( data would algorithm ) OR ( fold processing algorithm ))) OR ( element update algorithm ))', query time: 0.11s Refine Results
  1. 1

    Allocating data to multicomputer nodes by physical optimization algorithms for loosely synchronous computations by Mansour, Nashat

    Published 1992
    “…Three optimization methods derived from natural sciences are considered for allocating data to multicomputer nodes. These are simulated annealing, genetic algorithms and neural networks. …”
    Get full text
    Get full text
    Get full text
    article
  2. 2
  3. 3
  4. 4
  5. 5

    GenDE: A CRF-Based Data Extractor by Kayed, Mohammed

    Published 2020
    “…Web site schema detection and data extraction from the Deep Web have been studied a lot. …”
    Get full text
    Get full text
  6. 6

    Multi-marker-LD based genetic algorithm for tag SNP selection by Mansour, Nashat

    Published 2014
    “…The performance of the three algorithms are compared with those of a recognized tag SNP selection algorithm using three different real data sets from the HapMap project. …”
    Get full text
    Get full text
    Get full text
    article
  7. 7

    Application of Machine Learning Algorithms to Enhance Money Laundering and Financial Crime Detection by HAMDALLAH, KHALID WAJIH TURKI

    Published 2011
    “…In order to analyze the performance of machine learning algorithms, data was provided by a bank to be used for educational purposes and shall remain undisclosed. …”
    Get full text
  8. 8
  9. 9
  10. 10

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

    Published 2020
    “…No doubt that the random and volatile charging demand of these devices would affect the power grid optimal operation and scheduling which may be regarded as a new challenge. …”
    Get full text
    Get full text
    Get full text
    article
  11. 11

    A flexible genetic algorithm-fuzzy regression approach for forecasting: The case of bitumen consumption by Azadeh, Ali

    Published 2019
    “…Design/methodology/approach In the proposed approach, the parameter tuning process is performed on all parameters of genetic algorithm (GA), and the finest coefficients with minimum errors are identified. …”
    Get full text
    Get full text
    Get full text
    Get full text
    article
  12. 12

    Prediction the performance of multistage moving bed biological process using artificial neural network (ANN) by Fares Almomani (12585685)

    Published 2020
    “…The removal efficiencies in the proposed ENR-BP were four fold higher than the suspended growth process and in the same order of magnitude of 5-stage Bardenpho-MBBR. …”
  13. 13

    A Fuzzy Low-Dimensional Intersection Graph Representation Approach for Graph Compression and Anonymization by Yamout, Youssef

    Published 2021
    “…The large amount of data represented as a network, or graph, sometimes exceeds the resources of a conventional computing device. …”
    Get full text
    Get full text
    Get full text
    masterThesis
  14. 14
  15. 15

    Integration of Artificial Intelligence in E-Procurement of the Hospitality Industry: A Case Study in the UAE by Mathew, Elezabeth

    Published 2020
    “…Various descriptive, diagnostic, predictive, and prescriptive analysis is done on the e-procurement data. The deep learning model developed can perform thousands of routine and, repetitive tasks within a fairly short period compared to what it would take for a human being without any compromise on the quality of work. …”
    Get full text
  16. 16
  17. 17

    Intelligent Bilateral Client Selection in Federated Learning Using Game Theory by Wehbi, Osama

    Published 2022
    “…Adopting a random selection strategy would entail substantial problems due to the heterogeneity in terms of data quality, and computational and communication resources across the participants. …”
    Get full text
    Get full text
    Get full text
    masterThesis
  18. 18
  19. 19
  20. 20