Search Results - (( mobile deviation between algorithm ) OR ( parameters adaptation strategical algorithm ))*

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  1. 1

    Fitness-guided particle swarm optimization with adaptive Newton-Raphson for photovoltaic model parameter estimation by Premkumar M., Ravichandran S., Hashim T.J.T., Sin T.C., Abbassi R.

    Published 2025
    “…Moreover, the robustness of the DFGPSO algorithm is substantially improved through the strategic incorporation of the ENR method. …”
    Article
  2. 2
  3. 3

    Particle filter approach for estimating indoor mobile user location using IEEE 802.11 signals (F1090) by Mantoro, Teddy, Ayu, Media Anugerah, Raman, Shakiratul Husna, Md. Latiff , Nurul Hidayati

    Published 2011
    “…Moreover, the use of light estimation algorithms such as fingerprinting, ranking algorithm, Weighted Centroid method, k-Nearest Neighbour, did not give a good tracking result. …”
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    Proceeding Paper
  4. 4

    Mobile data gathering algorithms for wireless sensor networks by Ghaleb, Mukhtar Mahmoud Yahya

    Published 2014
    “…The third proposed algorithm achieves an adaptive data gathering strategy. …”
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    Thesis
  5. 5

    Distributed joint power control, beamforming and spectrum leasing for cognitive two-way relay networks by Iranpanah, Havzhin

    Published 2017
    “…In the first part of the thesis, distributed power control and beamforming algorithm is proposed in which users operating in the underlay mode can strategically adapt their power levels and maximize their own utilities. …”
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    Thesis
  6. 6

    Distributed power control and beamforming for cognitive two-way relay networks using a game-theoretic approach by Iranpanah, Havzhin, Mohd Ali, Borhanuddin, Hashim, Fazirulhisyam, Mohamad, Hafizal

    Published 2016
    “…We propose a distributed power control and beamforming algorithm that enables the users operating in the underlay mode to strategically adapt their power levels, and maximize their own utilities subject to the primary user (PU) interference constraint, as well as its own resource and target signal-to-interference-and-noise-ratio (SINR) constraints. …”
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    Conference or Workshop Item
  7. 7

    Enhancing location estimation accuracy by utilizing time difference of arrival techniques for wireless network by Md Mahyuddin, Mohamad Fahmi

    Published 2020
    “…Based on the covariance matrix, the accuracy of the estimate mobile/emitter location can be found by using the standard deviation formula. …”
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    Thesis
  8. 8

    Particle swarm optimization in multi-user orthogonal frequency-division multiplexing systems by Lye, Scott Carr Ken

    Published 2013
    “…As a part of enhancing the performance of PSO, investigation of the control parameters effect on multi-user OFDM resource allocation is presented, resulting in particle reselection and dynamic inertia approach which shows 8 % of improvement over the standard PSO algorithm. …”
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    Thesis
  9. 9

    Particle filter approach for tracking indoor user location using IEEE 802.11 signals by Mantoro, Teddy, Ayu, Media Anugerah, Raman, Shakiratul Husna, Latiff , N. H. M.

    Published 2011
    “…Moreover, the use of light estimation algorithms such as fingerprinting, ranking algorithm, Weighted Centroid method, k-Nearest Neighbour, did not give a good tracking result. …”
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    Article
  10. 10

    A NEW ENERGY EFFICIENT ADAPTIVE HYBRID ERROR CORRECTION TECHNIQUE FOR UNDERWATER WIRELESS SENSORS NETWORKS by HASSAN, AMMAR ELYAS BABIKER HASSAN

    Published 2011
    “…Underwater is characterized by variable channel conditions, whereas underwater sensors are mobile due to water currents leading to variable distances between sensors. …”
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    Thesis
  11. 11

    Near-infrared technique for oil palm fruit grading system by Saeed, Osama Mohamed Ben

    Published 2013
    “…The strategic positioning of the halogen and applied security design (ASD) lamps helps provide a shadow for free illumination. …”
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    Thesis
  12. 12

    Enhanced Adaptive Neuro-Fuzzy Inference System Classification Method for Intrusion Detection by Jia, Liu

    Published 2024
    “…Additionally, standard deviation and proposed adaptive K-means algorithms have been employed to minimize the generated rules by ANFIS from the proposed hybrid models. …”
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    Thesis