Search alternatives:
joint » point (Expand Search)
Showing 121 - 140 results of 298 for search '(( ((algorithm joint) OR (algorithm using)) functional ) OR ( algorithm python function ))*', query time: 0.10s Refine Results
  1. 121

    Label dependency modeling in Multi-Label Naïve Bayes through input space expansion by PKA Chitra (21749216)

    Published 2024
    “…To accommodate the heterogeneity of the expanded input space, we refine the likelihood parameters of iMLNB using a joint density function, which is adept at handling the amalgamation of data types. …”
  2. 122
  3. 123
  4. 124

    ANT-colony optimization-direct torque control for a doubly fed induction motor : An experimental validation by Said Mahfoud (17150968)

    Published 2022
    “…The new combined ACO-DTC strategy has been studied for optimizing the gains of the PID controller by using a cost function such as Integral Square Error (ISE). …”
  5. 125

    An enhanced binary Rat Swarm Optimizer based on local-best concepts of PSO and collaborative crossover operators for feature selection by Abu Zitar, Raed

    Published 2022
    “…The binary enhanced RSO is built based on three successive modifications: i) an S-shape transfer function is used to develop binary RSO algorithms; ii) the local search paradigm of particle swarm optimization is used with the iterative loop of RSO to boost its local exploitation; iii) three crossover mechanisms are used and controlled by a switch probability to improve the diversity. …”
  6. 126
  7. 127

    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
  8. 128
  9. 129

    Second-order conic programming for data envelopment analysis models by Mourad, Nahia

    Published 2022
    “…Moreover, it presents an algorithm that solves the former problem, and provides a MATLAB function associated with it. …”
    Get full text
    Get full text
  10. 130
  11. 131

    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
  12. 132
  13. 133

    Real-Time Implementation of High Performance Control Scheme for Grid-Tied PV System for Power Quality Enhancement Based on MPPC-SVM Optimized by PSO Algorithm by Abdelbasset Krama (16870008)

    Published 2018
    “…Concerning DC bus voltage of the inverter, the anti-windup PI controller is tuned offline using the particle swarm optimization algorithm to deliver optimal performance in DC bus voltage regulation. …”
  14. 134
  15. 135

    Contingency analysis of bulk power system using neural networks by Maghrabi, H.

    Published 1998
    “…Radial basis function networks (RBFNs) are used for the contingency evaluation of bulk power systems. …”
    Get full text
    Get full text
    article
  16. 136
  17. 137

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

    Published 2017
    “…A sample case study is presented to illustrate the performance of the algorithm.…”
    Get full text
    article
  18. 138

    Boosting the visibility of services in microservice architecture by Ahmet Vedat Tokmak (17773479)

    Published 2023
    “…In this research, we evaluate the performance of several classification algorithms for estimating the quality of microservices using the QWS dataset containing traffic data of 2505 microservices. …”
  19. 139

    Modelling Exchange Rates during Currency Crisis using Neural Networks by Nasr, G. E.

    Published 2006
    “…This paper presents an artificial neural network (ANN) approach to the forecasting of exchange rate movements during periods of currency crises characterized by excessive volatility. The models are built using the feedforward ANN structure trained by the backpropagation algorithm. …”
    Get full text
    Get full text
    Get full text
    conferenceObject
  20. 140