Search Results - ((((inference OR influence) OR interference) OR reference) OR difference) algorithm

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  1. 1
    An interference cancellation algorithm for fourier-based and wavelet-based OFDM systems

    An interference cancellation algorithm for fourier-based and wavelet-based OFDM systems by Abdullah, Khaizuran, Neville, Katrina L., Hussain, Zahir

    Published 2008
    “…An Interference Cancellation Algorithm (ICA) for both Fourier- and wavelet-based OFDM is proposed. …”
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    Proceeding Paper
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  2. 2
    Adaptive Network Fuzzy Inference System (ANFIS) Handoff Algorithm

    Adaptive Network Fuzzy Inference System (ANFIS) Handoff Algorithm by Kwong, Chiew Foong, Chuah, Teong Chee, Lee, Sze Wei

    Published 2009
    “…This paper proposes a newer approach using Adaptive Network Fuzzy Inference System (ANFIS) where the training element is incorporated into the existing fuzzy handoff algorithm.…”
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  3. 3
    A study on channel coding for 5G / Xu Wei

    A study on channel coding for 5G / Xu Wei by Xu , Wei

    Published 2019
    “…In addition, the performances of Polar code under different decoding algorithms and different construction method are simulated and compared. …”
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  4. 4
    Interference and Priority Aware Coexistence (IPC) Algorithm for Link Scheduling in IEEE 802.15.6 Based WBANs

    Interference and Priority Aware Coexistence (IPC) Algorithm for Link Scheduling in IEEE 802.15.6 Based WBANs by Khan, F.N., Ahmad, R., Ahmed, W., Alam, M.M., Drieberg, M.

    Published 2019
    “…The IPC approach has been evaluated for two different interference scenarios namely, a High interference scenario which considers interference from the highest interfering coordinator or sensor node of all coexisting WBANs, and a Moderate interference scenario (conventionally used in the existing literature) which considers interference from the coordinator only. …”
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  5. 5
    Data collision and interference minimization in wireless sensor network using node data addressing with random access time

    Data collision and interference minimization in wireless sensor network using node data addressing with random access time by Nurulidayu Sainuddin, Juwita Mohd Sultan, Fakrulradzi Idris, Mohd Azuani

    Published 2021
    “…Hence, this research contributes in mitigating the RF interference and data collision in the network to increase the network’s data reliability by using the concept of Time Division Multiple Access (TDMA) protocol where each sensor node will be transmitting their data at a different time to avoid collision and interference in the shared medium. …”
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  6. 6
    Optimal null steering of minimum variance distortionless response adaptive beamforming using particle swarm optimization and gravitational search algorithm

    Optimal null steering of minimum variance distortionless response adaptive beamforming using particle swarm optimization and gravitational search algorithm by Darzi S., Tiong S.K., Islam M.T., Ismail M., Kibria S.

    Published 2023
    “…Beamforming; Learning algorithms; Signal to noise ratio; Adaptive Beamforming; Adaptive beamforming techniques; Gravitational search algorithm (GSA); Gravitational search algorithms; Interfering sources; Minimum variance distortionless response; Optimization problems; Signal-to-interference and noise ratios; Particle swarm optimization (PSO)…”
    Conference Paper
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  7. 7
    Efficient radio resource allocation scheme for 5G networks with device-to-device communication

    Efficient radio resource allocation scheme for 5G networks with device-to-device communication by Fareha Nizam, Mardeni Roslee, Zubaida Yusoff, Prince Ugochukwu Nmenme, Keshvinder Singh, Anwar Faizd Bin Osman, Ibraheem Abdullah Mohammed Shayea, Hafizal Mohamad

    Published 2024
    journal::journal article
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  8. 8
    Data collision and interference minimization in wireless sensor network using node data addressing with random access time

    Data collision and interference minimization in wireless sensor network using node data addressing with random access time by Sainuddin, Nurulidayu, Mohd Sultan, Juwita, Idris, Fakrulradzi, Mohd Azuani

    Published 2021
    “…Hence, this research contributes in mitigating the RF interference and data collision in the network to increase the network’s data reliability by using the concept of Time Division Multiple Access (TDMA) protocol where each sensor node will be transmitting their data at a different time to avoid collision and interference in the shared medium. …”
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  9. 9
    Performance Analysis of Interference and Priority aware Coexistence in IEEE 802.15.6 based WBANs

    Performance Analysis of Interference and Priority aware Coexistence in IEEE 802.15.6 based WBANs by Khan, F.N., Ahmad, R., Ahmed, W., Alam, M.M., Drieber, M.

    Published 2020
    “…Therefore, in this paper, for a given interference level, we analyze the performance of the Interference and Priority aware Coexistence (IPC) algorithm. …”
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  10. 10
    Analysis of anti-multipath performance based on traditional acquisition algorithm of boc signal

    Analysis of anti-multipath performance based on traditional acquisition algorithm of boc signal by Ji, Yuanfa, Song, Sisi, Sun, Xiyan, Kamarul Hawari, Ghazali, Zhao, Songke

    Published 2022
    “…At present, multipath interference is still an inevitable natural influencing factor for high-precision navigation and positioning. …”
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  11. 11
    Sensorless Adaptive Fuzzy Logic Control Of Permanent Magnet Synchronous Motor

    Sensorless Adaptive Fuzzy Logic Control Of Permanent Magnet Synchronous Motor by Hafz Nour, Mutasim Ibrahim

    Published 2008
    “…The design and optimisation of the FLC are carried out using an adaptive fuzzy inference system network that uses the backpropagation, least square and gradient algorithms. …”
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  12. 12
    Optimal Fuzzy logic controller based Genetic Algorithm for control maximum power point tracking for Boost Converter

    Optimal Fuzzy logic controller based Genetic Algorithm for control maximum power point tracking for Boost Converter by Abdolrasol M.G.M., Tiong S.K., Ker P.J., Ansari S., Hannan M.A., Ustun T.S.

    Published 2025
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  13. 13
    Adaptive neuro-fuzzy inference system coupled with shuffled frog leaping algorithm for predicting river streamflow time series

    Adaptive neuro-fuzzy inference system coupled with shuffled frog leaping algorithm for predicting river streamflow time series by Mohammadi B., Linh N.T.T., Pham Q.B., Ahmed A.N., Vojtekov� J., Guan Y., Abba S.I., El-Shafie A.

    Published 2023
    “…Catchments; Forecasting; Fuzzy neural networks; Fuzzy systems; Inference engines; Rivers; Stream flow; Water management; Adaptive neuro-fuzzy inference system; Forecasting accuracy; Forecasting modeling; Model inputs; Prediction accuracy; Runoff forecasting; Shuffled frog leaping algorithm (SFLA); Water resources systems; Fuzzy inference; accuracy assessment; algorithm; fuzzy mathematics; prediction; river flow; runoff; streamflow; time series; Anura…”
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  14. 14
    Sampling-based online motion planning for mobile robots: utilization of Tabu search and adaptive neuro-fuzzy inference system

    Sampling-based online motion planning for mobile robots: utilization of Tabu search and adaptive neuro-fuzzy inference system by Khaksar W., Hong T.S., Sahari K.S.M., Khaksar M., Torresen J.

    Published 2023
    “…Adaptive control systems; Controllers; Fuzzy neural networks; Fuzzy systems; Motion planning; Robot programming; Robots; Tabu search; Adaptive neuro fuzzy inference systems (ANFIS); Adaptive neuro-fuzzy inference system; ANFIS; Fuzzy controllers; Motion planning algorithms; Sampling-based algorithms; Sampling-based motion planning; Unknown environments; Fuzzy inference…”
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  15. 15
    Accuracy enhancement for zone mapping of a solar radiation forecasting based multi-objective model for better management of the generation of renewable energy

    Accuracy enhancement for zone mapping of a solar radiation forecasting based multi-objective model for better management of the generation of renewable energy by Ehteram M., Ahmed A.N., Fai C.M., Afan H.A., El-Shafie A.

    Published 2023
    “…Air quality; Decision making; Forecasting; Fuzzy inference; Fuzzy neural networks; Fuzzy systems; Genetic algorithms; Inference engines; Mapping; Mean square error; Multiobjective optimization; Optimal systems; Particle swarm optimization (PSO); Quality control; Renewable energy resources; Solar radiation; Uncertainty analysis; Adaptive neuro-fuzzy inference system; ANFIS; Multi objective algorithm; Multi objective particle swarm optimization; Multi-objective genetic algorithm; Renewable energies; Renewable energy generation; Solar radiation forecasting; Parameter estimation…”
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  16. 16
    Resource allocation techniques for interference mitigation in macro and femtocell heterogeneous network-based LTE system

    Resource allocation techniques for interference mitigation in macro and femtocell heterogeneous network-based LTE system by Al-omari, Motea Saleh Mohammed

    Published 2017
    “…The thesis further presents two different approaches for mitigating cross-tier interference as well as minimizing cotier interference in two-tier HetNets. …”
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  17. 17
    Inference Algorithms in Latent Dirichlet Allocation for Semantic Classification

    Inference Algorithms in Latent Dirichlet Allocation for Semantic Classification by Mohammad Zubir, W.M.A., Abdul Aziz, I., Jaafar, J., Hasan, M.H.

    Published 2018
    “…The inference algorithm used in this research work is Gibbs sampling. …”
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  18. 18
    Inference Algorithms in Latent Dirichlet Allocation for Semantic Classification

    Inference Algorithms in Latent Dirichlet Allocation for Semantic Classification by Mohammad Zubir, W.M.A., Abdul Aziz, I., Jaafar, J., Hasan, M.H.

    Published 2018
    “…The inference algorithm used in this research work is Gibbs sampling. …”
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  19. 19
    Adaptive interference canceller using analog algorithm with offset voltage

    Adaptive interference canceller using analog algorithm with offset voltage by Mohammed, Alaa Hadi

    Published 2015
    “…In addition, the output Signal to Interference Ratio (SIR) using the proposed algorithm has been doubled compared to NLMS and RLS algorithms.…”
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  20. 20
    Genetic Algorithms And Particle Swarm Optimization For Interference Minimization In Mobile Network Channel Assignment Problem

    Genetic Algorithms And Particle Swarm Optimization For Interference Minimization In Mobile Network Channel Assignment Problem by Loh, Ser Lee, Keek, Joe Siang, Wong, Yan Chiew, Woo, Xiu Juan, Lee, Wei Wen

    Published 2021
    “…This paper presents the study and comparison of Genetic Algorithm (GA) and Particle Swam Optimization (PSO) for CAP in minimizing interference. …”
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