Search Results - optical growth algorithm

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  1. 1
    Model optimization using artificial intelligence algorithms for biological food waste degradation

    Model optimization using artificial intelligence algorithms for biological food waste degradation by N., Zainol, Abdul Sahli, Fakharudin, Nor Ilyya Syahira, Zulaidi

    Published 2020
    “…Growth of aerobic bacteria can be determined by measuring the optical density (OD) of the bacteria. …”
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  2. 2
    QR factorization equalisation scheme for mode devision multiplexing transmission in fibre optics

    QR factorization equalisation scheme for mode devision multiplexing transmission in fibre optics by Abbas, Sharafal-Deen Abdulkadhum

    Published 2016
    “…Internet traffic has been increasing at a dramatic rate and the current optical network infrastructure may not be able to support the traffic growth in a few decades. …”
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  3. 3
    Mode division multiplexing zero forcing equalisation scheme using LU factorization

    Mode division multiplexing zero forcing equalisation scheme using LU factorization by Mohamed, Ahmed Sayed

    Published 2016
    “…At this rate, it is believed that the current technology in optical network will not able to handle this growth in the near future. …”
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  4. 4
    Microalgae biomass and biomolecule quantification: Optical techniques, challenges and prospects

    Microalgae biomass and biomolecule quantification: Optical techniques, challenges and prospects by Thiviyanathan V.A., Ker P.J., Hoon Tang S.G., Amin E.P., Yee W., Hannan M.A., Jamaludin Z., Nghiem L.D., Indra Mahlia T.M.

    Published 2025
    “…This review also elucidates the potential of machine learning and big data analytics algorithms in understanding the growth and interaction of microalgae strains as well as to aid in decision making, which can possibly encourage the participation of small-scale and large-scale farmers in microalgae cultivation. …”
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  5. 5
    Improved abnormal detection using self-adaptive social force model for visual surveillance

    Improved abnormal detection using self-adaptive social force model for visual surveillance by Wan Nur Azhani, W. Samsudin

    Published 2017
    “…For this point, Horn-Schunck optical flow is used to get the flow vector for each pixel in the image frames. …”
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  6. 6
    Absorption Coefficient of Bulk III-V Semiconductor Materials: A Review on Methods, Properties and Future Prospects

    Absorption Coefficient of Bulk III-V Semiconductor Materials: A Review on Methods, Properties and Future Prospects by Lee H.J., Gamel M.M.A., Ker P.J., Jamaludin M.Z., Wong Y.H., David J.P.R.

    Published 2023
    “…Crystal structure; Energy gap; Genetic algorithms; III-V semiconductors; Optical properties; Solar power generation; Structural design; Absorption coefficients; Bulk growth; Bulk III-V semiconductors; Bulk semiconductors; Comparatives studies; Future prospects; Property; Quaternary; Semiconductor crystals; Ternary; Infrared devices…”
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  7. 7
    The Parallel Fuzzy C-Median Clustering Algorithm Using Spark for the Big Data

    The Parallel Fuzzy C-Median Clustering Algorithm Using Spark for the Big Data by Mallik, Moksud Alam, Zulkurnain, Nurul Fariza, Siddiqui, Sumrana, Sarkar, Rashel

    Published 2024
    “…A comparative study is done to validate the proposed algorithm by implementing the other contemporary algorithms for the same dataset. …”
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  8. 8
    MRI brain tumor detection methods using contourlet transform based on time adaptive self-organizing map

    MRI brain tumor detection methods using contourlet transform based on time adaptive self-organizing map by Ali Farzamnia, Seyed Hamidreza Hazaveh, Seyede Safieh Siadat, Ervin Gubin Moung

    Published 2023
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  9. 9
    Deep convolutional neural network processing of aerial stereo imagery to monitor vulnerable zones near power lines

    Deep convolutional neural network processing of aerial stereo imagery to monitor vulnerable zones near power lines by Qayyum, A., Saad, N.M., Kamel, N., Malik, A.S.

    Published 2018
    “…© 2018 Society of Photo-Optical Instrumentation Engineers (SPIE).…”
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  10. 10
    Deep convolutional neural network processing of aerial stereo imagery to monitor vulnerable zones near power lines

    Deep convolutional neural network processing of aerial stereo imagery to monitor vulnerable zones near power lines by Qayyum, A., Saad, N.M., Kamel, N., Malik, A.S.

    Published 2018
    “…© 2018 Society of Photo-Optical Instrumentation Engineers (SPIE).…”
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