Search Results - (( based evaluation swarm algorithm ) OR ( based information systems algorithm ))

Search alternatives:

Refine Results
  1. 1
    On spectral efficiency maximization in a partial joint processing system using a multi-start particle swarm optimization algorithm

    On spectral efficiency maximization in a partial joint processing system using a multi-start particle swarm optimization algorithm by Faisal, Ali Raed, Hashim, Fazirulhisyam, Ismail, Mahamod, Noordin, Nor Kamariah

    Published 2015
    “…However, achieving equivalent backhaul reduction based on limited feedback channel state information is challenging when linear techniques, such as zero-forcing beamforming (BF) are used, which led to the use of stochastic algorithms instead. …”
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  2. 2
    An expanded square pattern technique in swarm of quadcopters for exploration algorithm

    An expanded square pattern technique in swarm of quadcopters for exploration algorithm by Zuhri, Muhammad Fuad Reza, Ismail, Amelia Ritahani

    Published 2017
    “…We simulate the swarm-based exploration algorithm with expanded square pattern using a VREP simulator. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  3. 3
    Hybridization of enhanced ant colony system and Tabu search algorithm for packet routing in wireless sensor network

    Hybridization of enhanced ant colony system and Tabu search algorithm for packet routing in wireless sensor network by Husna, Jamal Abdul Nasir

    Published 2020
    “…Better performances were also achieved for success rate, throughput, and latency when compared to other hybrid routing algorithms such as Fish Swarm Ant Colony Optimization (FSACO), Cuckoo Search-based Clustering Algorithm (ICSCA), and BeeSensor-C. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  4. 4
    Time-varying water temperature modelling of steam distillation pilot plant using NARX-based binary particle swarm optimisation structure selection / Najidah Hambali … [et al.]

    Time-varying water temperature modelling of steam distillation pilot plant using NARX-based binary particle swarm optimisation structure selection / Najidah Hambali … [et al.] by Hambali, Najidah, Taib, Mohd Nasir, Mohd Yassin, Ahmad Ihsan, Rahiman, Mohd Hezri Fazalul

    Published 2017
    “…Many studies in current years has concentrated on both linear and nonlinear modelling in the real nonlinear system applications. This study reports a nonlinear modelling for a time-varying process of water temperature by utilising a Binary Particle Swarm Optimisation (BPSO) algorithm based on Nonlinear Auto-Regressive with eXogenous input (NARX) structure. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  5. 5
    Particle swarm optimization with deep learning for human action recognition

    Particle swarm optimization with deep learning for human action recognition by Usmani, U.A., Watada, J., Jaafar, J., Aziz, I.A., Roy, A.

    Published 2021
    “…To extract the appearance based and structural information, each frame of the action sequences is evaluated for spatial features. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  6. 6
    Seamless vertical handover technique for vehicular ad-hoc networks using artificial bee colony-particle swarm optimisation

    Seamless vertical handover technique for vehicular ad-hoc networks using artificial bee colony-particle swarm optimisation by Abdulwahhab, Mohanad Mazin

    Published 2019
    “…Firstly, we proposed a multi-criteria artificial bee colony hybrid with particle swarm optimisation algorithm (MC ABC-PSO) for evaluating the information gathered from the mobile nodes in the handover. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  7. 7
    Optimization of multipurpose reservoir operation using evolutionary algorithms / Mohammed Heydari

    Optimization of multipurpose reservoir operation using evolutionary algorithms / Mohammed Heydari by Mohammed , Heydari

    Published 2017
    “…One of the main problems of this method is premature convergence and to improve this problem, the compound of the particle swarm algorithm and genetic algorithm were evaluated. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  8. 8
    Internet utility evaluation of a multi-start particle swarm optimization beamformer in a partial joint processing cellular network

    Internet utility evaluation of a multi-start particle swarm optimization beamformer in a partial joint processing cellular network by Faisal, Ali Raed, Hashim, Fazirulhisyam, Ismail, Mahamod, Noordin, Nor Kamariah

    Published 2016
    “…Unlike linear techniques such as zero-forcing (ZF), achieving an equivalent backhaul reduction and presenting a totally free ICI system based on limited feedback channel state information can be done by designing and implementing a multi-start particle swarm optimization algorithm (MSPSOA) as a beamforming (BF) mechanism. …”
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  9. 9
    Self-organized HGBBDSA approach for the power allocation in OFDMA-based heterogeneous network

    Self-organized HGBBDSA approach for the power allocation in OFDMA-based heterogeneous network by Mohammad Kamrul, Hasan, Ismail, Ahmad Fadzil, Islam, Shayla, Wahidah, Hashim

    Published 2016
    “…The integration of GA with Biogeography Based Optimization algorithm benchmarked over the Particle Swarm Optimization (PSO). …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  10. 10
    Semantic relatedness maximisation for word sense disambiguation using a hybrid firefly algorithm

    Semantic relatedness maximisation for word sense disambiguation using a hybrid firefly algorithm by Hamad, A.H., Mahmood, A.A., Abed, S.A., Ying, X.

    Published 2021
    “…This is achieved by proposing a swarm intelligence method, called firefly algorithm (FA) to find the best possible set of senses. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  11. 11
    Design Of Feature Selection Methods For Hand Movement Classification Based On Electromyography Signals

    Design Of Feature Selection Methods For Hand Movement Classification Based On Electromyography Signals by Too, Jing Wei

    Published 2020
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  12. 12
    Taguchi's T-method with nearest integer-based binary bat algorithm for prediction

    Taguchi's T-method with nearest integer-based binary bat algorithm for prediction by Marlan Z.M., Jamaludin K.R., Ramlie F., Harudin N.

    Published 2023
    “…In this paper, a swarm-based binary bat optimization algorithm with a nearest integer discretization approach is integrated with the Taguchi�s T-method. …”
    Article
    Save to List
    Saved in:
  13. 13
    Metaheuristic-Based Neural Network Training And Feature Selector For Intrusion Detection

    Metaheuristic-Based Neural Network Training And Feature Selector For Intrusion Detection by Ghanem, Waheed Ali Hussein Mohammed

    Published 2019
    “…However, the training datasets usually compose feature sets of irrelevant or redundant information, which impacts the performance of classification, and traditional learning algorithms such as backpropagation suffer from known issues, including slow convergence and the trap of local minimum. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  14. 14
    Temporal integration based factorization to improve prediction accuracy of collaborative filtering

    Temporal integration based factorization to improve prediction accuracy of collaborative filtering by Al-Qasem, Al-Hadi Ismail Ahmed

    Published 2016
    “…The data sparsity problem has been solved by several approaches such as Bayesian probabilistic, machine learning, genetic algorithm, particle swarm optimization and matrix factorization. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  15. 15
    Reliability assessment of generating systems with wind power penetration via BPSO

    Reliability assessment of generating systems with wind power penetration via BPSO by Kadhem, Athraa Ali, Noor Izzri, Abdul Wahab, Ishak, Aris, Jasronita, Jasni, Abdalla, Ahmed N., Matsukawa, Yoshiaki

    Published 2017
    “…This current study offers a binary particle swarm optimisation (BPSO) application with Weibull model to reliably evaluate the generation systems with a WECS. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  16. 16
    Reliability assessment of generating systems with wind power penetration via BPSO

    Reliability assessment of generating systems with wind power penetration via BPSO by Kadhem, Athraa Ali, Abdul Wahab, Noor Izzri, Aris, Ishak, Jasni, Jasronita, Abdalla, Ahmed N., Matsukawa, Yoshiaki

    Published 2017
    “…This current study offers a binary particle swarm optimisation (BPSO) application with Weibull model to reliably evaluate the generation systems with a WECS. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  17. 17
    Self-configured link adaptation using channel quality indicator-modulation and coding scheme mapping with partial feedback for green long-term evolution cellular systems

    Self-configured link adaptation using channel quality indicator-modulation and coding scheme mapping with partial feedback for green long-term evolution cellular systems by Salman, Mustafa Ismael

    Published 2015
    “…To achieve this objective, an iterative approach based on swarm intelligence is used to find the optimal CQI threshold at which the competing criteria are optimized. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  18. 18
    Join query enhancement processing (jqpro) with big rdf data on a distributed system using hashing-merge join technique

    Join query enhancement processing (jqpro) with big rdf data on a distributed system using hashing-merge join technique by Nahla Mohammedelzein, Elawad Babiker

    Published 2021
    “…(iii) evaluate and compare the performance based on the execution time, throughput, and CPU utilization of the JQPro model with existing models. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  19. 19
    Intelligent image noise types recognition and denoising system using deep learning / Khaw Hui Ying

    Intelligent image noise types recognition and denoising system using deep learning / Khaw Hui Ying by Khaw , Hui Ying

    Published 2019
    “…An ensemble of these algorithms is an intelligent and adaptive solution, producing a clean output, while preserving significant pixel information. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  20. 20
    Evaluation of Vector Evaluated Particle Swarm Optimisation Enhanced with Non-dominated Solutions and Multiple Nondominated Leaders based on WFG Test Functions

    Evaluation of Vector Evaluated Particle Swarm Optimisation Enhanced with Non-dominated Solutions and Multiple Nondominated Leaders based on WFG Test Functions by Zuwairie, Ibrahim, Mohd Zaidi, Mohd Tumari, Mohd Falfazli, Mat Jusof, Kian, Sheng Lim

    Published 2014
    “…Multi Objective Optimisation (MOO) problem involves simultaneous minimization or maximization of many objective functions. One of MOO algorithms is Vector Evaluated Particle Swarm Optimization (VEPSO) algorithm. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:

Search Tools: