Search alternatives:
method algorithm » mould algorithm (Expand Search)
using algorithm » cosine algorithm (Expand Search)
data tracking » radar tracking (Expand Search)
Showing 141 - 160 results of 303 for search '(( elements method algorithm ) OR ((( data tracking algorithm ) OR ( solved using algorithm ))))', query time: 0.13s Refine Results
  1. 141

    Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network by Mohammad Reza Chalak Qazani (13893261)

    Published 2024
    “…Computational techniques, like the finite element method, are used to analyse behaviours based on varied input parameters. …”
  2. 142

    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. 143
  4. 144

    VHDRA: A Vertical and Horizontal Intelligent Dataset Reduction Approach for Cyber-Physical Power Aware Intrusion Detection Systems by Hisham A. Kholidy (18891802)

    Published 2019
    “…The Nonnested Generalized Exemplars (NNGE) algorithm is one of the most accurate classification techniques that can work with such data of CPPS. …”
  5. 145
  6. 146

    Simultaneous stabilisation of power systems using geneticalgorithms by Abdel-Magid, Y.L.

    Published 1997
    “…The paper considers the simultaneous stabilisation of a power system over a wide range of operating conditions via a single power system stabiliser using genetic algorithms. A power system operating at various load levels is treated as a finite set of plants. …”
    Get full text
    Get full text
    article
  7. 147

    Distributed optimal coverage control in multi-agent systems: Known and unknown environments by Mohammadhasan Faghihi (22303057)

    Published 2024
    “…<p>This paper introduces a novel approach to solve the coverage optimization problem in multi-agent systems. …”
  8. 148
  9. 149
  10. 150

    Improved Dwarf Mongoose Optimization for Constrained Engineering Design Problems by Agushaka, Jeffrey O.

    Published 2022
    “…The performance of the IDMO, using different performance metrics and statistical analysis, is compared with the DMO and eight other existing algorithms. …”
    Get full text
  11. 151

    Acoustic Based Localization of Partial Discharge Inside Oil-Filled Transformers by Hamidreza Besharatifard (16904823)

    Published 2022
    “…<p dir="ltr">This paper addresses the localization of Partial Discharge through a 3D Finite Element Method analysis of acoustic wave propagation inside a 3-phase 35kV transformer with the help of COMSOL Multiphysics software. …”
  12. 152
  13. 153

    An easy-to-use scalable framework for parallel recursive backtracking by Abu-Khzam, Faisal N.

    Published 2013
    “…Solving NP-hard graph problems to optimality using exact algorithms is an example of an area in which there has so far been limited success in obtaining large scale parallelism. …”
    Get full text
    Get full text
    Get full text
    article
  14. 154
  15. 155
  16. 156
  17. 157
  18. 158

    A combined resource allocation framework for PEVs charging stations, renewable energy resources and distributed energy storage systems by Kandil, Sarah M.

    Published 2017
    “…The formulation is decomposed into two interdependent sub-problems and solved using a combination of metaheuristic and deterministic optimization techniques. …”
    Get full text
    article
  19. 159
  20. 160

    Correlation Clustering with Overlaps by Fakhereldine, Amin

    Published 2020
    “…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