Showing 1 - 20 results of 145 for search '(( implement findings algorithm ) OR ((( element data algorithm ) OR ( elements _ algorithm ))))', query time: 0.10s Refine Results
  1. 1
  2. 2

    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. …”
  3. 3

    A multi-class discriminative motif finding algorithm for autosomal genomic data. (c2015) by Wehbe, Gioia Wahib

    Published 2016
    “…In addition, implementing feasible computational methods for such enormous data is by itself another challenge. …”
    Get full text
    Get full text
    masterThesis
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8

    Implementation and Comparison of Particle Swarm Optimization and Genetic Algorithm Techniques in Combined Economic Emission Dispatch of an Independent Power Plant by Shahbaz Hussain (9765320)

    Published 2019
    “…Two contemporary metaheuristic techniques, particle swarm optimization (PSO) and genetic algorithm (GA), have were simultaneously implemented for combined economic emission dispatch (CEED) of an independent power plant (IPP) situated in Pakistan for different load demands. …”
  9. 9

    On the Optimization of Band Gaps in Periodic Waveguides by Jamil Renno (14070771)

    Published 2025
    Subjects: “…Nature-inspired optimization algorithms…”
  10. 10
  11. 11
  12. 12
  13. 13
  14. 14

    Nonlinear analysis of shell structures using image processing and machine learning by M.S. Nashed (16392961)

    Published 2023
    “…The proposed approach can be significantly more efficient than training a machine learning algorithm using the raw numerical data. To evaluate the proposed method, two different structures are assessed where the training data is created using nonlinear finite element analysis. …”
  15. 15

    Design of adaptive arrays based on element position perturbations by Dawoud, M.M.

    Published 1993
    “…The authors report on the design of a digital feedback control system to provide null steering by controlling the array element positions automatically. The array comprises a signal processor, digital control algorithm (PID), stepper motors, shaft encoders, actuators and multiplexers. …”
    Get full text
    Get full text
    article
  16. 16

    Correlation Clustering with Overlaps by Fakhereldine, Amin

    Published 2020
    “…Moreover, we allow the new vertex splitting operation, which allows the resulting clusters to overlap. In other words, data elements (or vertices) will be allowed to be members in more than one cluster instead of limiting them to only one single cluster, as in classical clustering methods. …”
    Get full text
    Get full text
    Get full text
    masterThesis
  17. 17
  18. 18

    Adaptive bias simulated evolution algorithm for placement by Youssef, H.

    Published 2001
    “…A new solution is evolved from current solution by relocating some of the solution elements. Elements with lower goodnesses have higher probabilities of getting selected for perturbation. …”
    Get full text
    Get full text
    article
  19. 19

    An improved kernelization algorithm for r-Set Packing by Abu-Khzam, Faisal N.

    Published 2010
    “…Such parameterized reductions are known as kernelization algorithms, and a reduced instance is called a problem kernel. …”
    Get full text
    Get full text
    Get full text
    article
  20. 20

    A kernelization algorithm for d-Hitting Set by Abu-Khzam, Faisal N.

    Published 2010
    “…For a given parameterized problem, π, a kernelization algorithm is a polynomial-time pre-processing procedure that transforms an arbitrary instance of π into an equivalent one whose size depends only on the input parameter(s). …”
    Get full text
    Get full text
    Get full text
    article