Search Results - (( rayleigh distribution from algorithm ) OR ( parameters variation missing algorithm ))

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  1. 1
    Interpolation and extrapolation techniques based Neural Network in estimating the missing ionospheric TEC data

    Interpolation and extrapolation techniques based Neural Network in estimating the missing ionospheric TEC data by Jayapal V., Zain A.F.M.

    Published 2024
    “…The solar and magnetic indices, seasonal variation as well as diurnal variation are used as the input spaces in the NN to estimate the missing GPS TEC. …”
    Conference Paper
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  2. 2
    Interpolation and Extrapolation Techniques Based Neural Network in Estimating the Missing Ionospheric TEC Data

    Interpolation and Extrapolation Techniques Based Neural Network in Estimating the Missing Ionospheric TEC Data by Jayapal, V, Zain, AFM

    Published 2024
    Proceedings Paper
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  3. 3
    Analyses of prior selections for Gumbel distribution

    Analyses of prior selections for Gumbel distribution by Rostami, Mohammad, Adam, Mohd Bakri

    Published 2013
    “…The usage of Markov Chain Monte Carlo via Metropolis-Hasting algorithm is implemented. Our findings show that the combination of Gumbel and Rayleigh are the most compromise pair of priors for Gumbel model. …”
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  4. 4
    Faulty sensor detection using data correlation of multivariant sensor reading in smart agriculture with IOT

    Faulty sensor detection using data correlation of multivariant sensor reading in smart agriculture with IOT by Malik, Ahmed Dhahir

    Published 2019
    “…This method will be applied to the smart agriculture which uses multi-variate sensors such as moisture sensor, temperature sensor and water sensor in IoT. …”
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    Thesis
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  5. 5
    Channel Modeling and Direction-of-Arrival Estimation in Mobile Multiple-Antenna Communication Systems

    Channel Modeling and Direction-of-Arrival Estimation in Mobile Multiple-Antenna Communication Systems by Ravari, Arastoo Rostami

    Published 2005
    “…Estimated parameters from recent measurements ([PMFOO]) are compared with estimated parameters from model generated waveforms as well as theoretical distribution of received signal's angular spread. …”
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    Thesis
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