Search alternatives:
setting algorithm » scheduling algorithm (Expand Search)
would algorithm » mould algorithm (Expand Search)
data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
Showing 1 - 20 results of 203 for search '(( elements data algorithm ) OR ((( data would algorithm ) OR ( data setting algorithm ))))', query time: 0.12s Refine Results
  1. 1
    Scalable parallel algorithms for dynamic programming on tree decomposition. (c2017)

    Scalable parallel algorithms for dynamic programming on tree decomposition. (c2017) by Yassine, Mohamad M.

    Published 2017
    Get full text
    Get full text
    Get full text
    masterThesis
    Save to List
    Saved in:
  2. 2
    Mapping realistic data sets on parallel computers

    Mapping realistic data sets on parallel computers by Mansour, N.

    Published 1993
    Get full text
    Get full text
    Get full text
    Get full text
    conferenceObject
    Save to List
    Saved in:
  3. 3
    Automatic keyword extraction from a real estate classifieds data set

    Automatic keyword extraction from a real estate classifieds data set by Devassy, Dibin

    Published 2011
    “…Keywords are considered to be a solution to this problem and are now widely used to search the information over the internet.In this project we analyze a real estate classifieds data set, with an objective to find keywords that represent this data set. …”
    Get full text
    Save to List
    Saved in:
  4. 4
    Matheuristic Fixed Set Search Applied to the Two-Stage Capacitated Facility Location Problem

    Matheuristic Fixed Set Search Applied to the Two-Stage Capacitated Facility Location Problem by Denis Alicic (23073484)

    Published 2025
    Save to List
    Saved in:
  5. 5
    Data reductions and combinatorial bounds for improved approximation algorithms

    Data reductions and combinatorial bounds for improved approximation algorithms by Abu-Khzam, Faisal N.

    Published 2016
    “…Kernelization algorithms in the context of Parameterized Complexity are often based on a combination of data reduction rules and combinatorial insights. …”
    Get full text
    Get full text
    Get full text
    Get full text
    article
    Save to List
    Saved in:
  6. 6
    Allocating data to distributed-memory multiprocessors by genetic algorithms

    Allocating data to distributed-memory multiprocessors by genetic algorithms by Mansour, Nashat

    Published 2016
    “…We present three genetic algorithms (GAs) for allocating irregular data sets to multiprocessors. …”
    Get full text
    Get full text
    Get full text
    article
    Save to List
    Saved in:
  7. 7
    Personalization in Real-Time Physical Activity Coaching Using Mobile Applications: A Scoping Review

    Personalization in Real-Time Physical Activity Coaching Using Mobile Applications: A Scoping Review by Francisco Monteiro-Guerra (16864122)

    Published 2019
    Save to List
    Saved in:
  8. 8
    Variable Selection in Data Analysis: A Synthetic Data Toolkit

    Variable Selection in Data Analysis: A Synthetic Data Toolkit by Mitra, Rohan

    Published 2024
    “…Variable (feature) selection plays an important role in data analysis and mathematical modeling. This paper aims to address the significant lack of formal evaluation benchmarks for feature selection algorithms (FSAs). …”
    Get full text
    article
    Save to List
    Saved in:
  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
    Get full text
    doctoralThesis
    Save to List
    Saved in:
  10. 10
    Physical optimization algorithms for mapping data to distributed-memory multiprocessors

    Physical optimization algorithms for mapping data to distributed-memory multiprocessors by Mansour, Nashat

    Published 1992
    “…We also present a technique for efficient mapping of large data sets. The algorithms include a parallel genetic algorithm (PGA), a parallel neural network algorithm (PNN) and a parallel simulated annealing algorithm (PSA). …”
    Get full text
    Get full text
    Get full text
    masterThesis
    Save to List
    Saved in:
  11. 11
    Multi-marker-LD based genetic algorithm for tag SNP selection

    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
    Save to List
    Saved in:
  12. 12
    Hardening the ElGamal cryptosystem in the setting of the second group of units. (c2011)

    Hardening the ElGamal cryptosystem in the setting of the second group of units. (c2011) by Fanous, Suzan Mohamad

    Published 2011
    Get full text
    Get full text
    masterThesis
    Save to List
    Saved in:
  13. 13
    DG-Means – A Superior Greedy Algorithm for Clustering Distributed Data

    DG-Means – A Superior Greedy Algorithm for Clustering Distributed Data by Assaf, Ali

    Published 2022
    “…In this work, we present DG-means, which is a greedy algorithm that performs on distributed sets of data. …”
    Get full text
    Get full text
    Get full text
    masterThesis
    Save to List
    Saved in:
  14. 14
    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
    “…This work investigates the problem of scheduling the processing of tasks with non-identical sizes and different priorities on a set of parallel processors. An iterative dynamic scheduling algorithm (DCSDBP) was developed to address the data batching process. …”
    Get full text
    article
    Save to List
    Saved in:
  15. 15
    Application of Machine Learning Algorithms to Enhance Money Laundering and Financial Crime Detection

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

    Published 2011
    “…The data was used as training and testing sets to analyze certain machine learning algorithms in terms of performance (cost / benefit analysis) and accuracy (mean error square and confusion matrix). …”
    Get full text
    Save to List
    Saved in:
  16. 16
    Allocating data to multicomputer nodes by physical optimization algorithms for loosely synchronous computations

    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
    Save to List
    Saved in:
  17. 17
    On the steiner walk problem. (c2009)

    On the steiner walk problem. (c2009) by Maarouf, Amina

    Published 2009
    Get full text
    Get full text
    masterThesis
    Save to List
    Saved in:
  18. 18
    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
    Subjects:
    Save to List
    Saved in:
  19. 19
    Adaptive Secure Pipeline for Attacks Detection in Networks with set of Distribution Hosts

    Adaptive Secure Pipeline for Attacks Detection in Networks with set of Distribution Hosts by ALSHAMSI, SUROUR

    Published 2022
    Get full text
    Save to List
    Saved in:
  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. …”
    Save to List
    Saved in:

Search Tools: