Search Results - (( developing online coefficient algorithm ) OR ( java implication based algorithm ))

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    A hybrid ANN for output power prediction and online monitoring in grid-connected photovoltaic system / Puteri Nor Ashikin Megat Yunus by Megat Yunus, Puteri Nor Ashikin

    Published 2023
    “…This thesis presents a new algorithm for output prediction and online monitoring in a Grid-Connected Photovoltaic (GCPV) system based on an artificial neural network. …”
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    Thesis
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    Keyword search for doa retrieval using N-gram / Anis Safuraa Ahmad Tajudin by Ahmad Tajudin, Anis Safura

    Published 2015
    “…A relational database for the Malay words has been constructed in two table which is title of doa and verse and the prototype to retrieve the Doa in Arabic, its' meaning in Malay and the use of it has been developed. The result is overlap coefficient percentage result better than dice coefficient.…”
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    Thesis
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    Development of language identification system using MFCC and vector quantization by Gunawan, Teddy Surya, Husain, Rashida, Kartiwi, Mira

    Published 2017
    “…This paper investigates the development of language identification based on Mel-Frequency Cepstral Coefficients (MFCC) and Vector Quantization (VQ) algorithm. …”
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    Proceeding Paper
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    Language identification system using Matlab: design, implementation, and sample codes by Husain, Rashida, Gunawan, Teddy Surya, Kartiwi, Mira

    Published 2017
    “…This book investigates the development of language identification based on Mel-Frequency Cepstral Coefficients (MFCC) and Vector Quantization (VQ) algorithm. …”
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    Book
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    A simulation study of a new rate-and-queue-based active queue management algorithm by Ali Asghar, Jomah Adham, Razman, Mat Tahar

    Published 2012
    “…This paper aims at developing a novel AQM algorithm to better QoS in terms of congestion prediction, queuing delay, packet loss and link utility, etc. …”
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    Article
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    Online system identification development based on recursive weighted least square neural networks of nonlinear hammerstein and wiener models. by Kwad, Ayad Mahmood

    Published 2022
    “…This research introduces a developed method for online system identification based on the Hammerstein and Wiener nonlinear block-oriented structure with the artificial neural networks (NN) advantages and recursive weighted least squares algorithm for optimizing neural network learning in real-time. …”
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    Thesis
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    Compression of Three-Dimensional Terrain Data Using Lifting Scheme Based on Second Generation Wavelets by Pradhan, Biswajeet

    Published 2006
    “…The Mean Square Error (MSE) and Peak-Signal-to-Noise Ratio (PSNR) are calculated. The newly developed algorithm was applied to compress Light Detection and Ranging (LIDAR) data to check the efficiency of the program. …”
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    Thesis
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