Search Results - optical ((cloud algorithm) OR (growth algorithm))

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  1. 1

    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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    Article
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    Near-sea-level langley calibration algorithm by Jedol Dayou, Chang, Jackson Hian Wui, Justin Sentian

    Published 2014
    “…The key advantages of the proposed algorithm are its objectivity, computational efficiency and the ability to detect short intervals of cloud transits. …”
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    Chapter In Book
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    Retrieval Of Environmental Parameters Over Water Areas Using MODIS Data by Amin, Abd Rahman Mat

    Published 2012
    “…In this study, new and simple algorithms to retrieve cirrus cloud, sediment and aerosol optical depth (AOD) from Moderate Resolution Radiospectrometer (MODIS) imagery is suggested and demonstrated. …”
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    Thesis
  5. 5

    Feature Extraction and Matching from images / lntan Syaherra Ramli by Ramli, lntan Syaherra

    Published 2023
    “…Next, the feature points from two images are matched using Optical Flow Lucas Kanade. The corresponding feature points are used to find the 30 point cloud for computer graphic application. …”
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    Monograph
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    The analysis of tropospheric aerosol concentration and distribution using NOAA AVHRR by Wan Kadir, Wan Hazli, Ibrahim, Ab. Latif, Rasib, Abdul Wahid, Mohd. Hassan, Aida Hayati, Zaini, Zawatil Azhani

    Published 2005
    “…The results suggests that the application of DTA algorithm on NOAA AVHRR imagery whenever available and cloud free could be used as an indicator to air quality assessment for this region.…”
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    Monograph
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    A refined classification approach by integrating Landsat Operational Land Imager (OLI) and RADARSAT-2 imagery for land-use and land-cover mapping in a tropical area by Sameen, Maher Ibrahim, Nahhas, Faten Hamed, Buraihi, Faez Hussein, Pradhan, Biswajeet, Mohamed Shariff, Abdul Rashid

    Published 2016
    “…Producing accurate land-use and land-cover (LULC) mapping is a long-standing challenge using solely optical remote-sensing data, especially in tropical regions due to the presence of clouds. …”
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    Article
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    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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    Thesis
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    Development of personal finance mobile application with Optical Character Recognition (OCR) technology for automated receipt management and expense tracking by Tan, Su Hua

    Published 2023
    “…OCR is the short form for Optical Character Recognition. It is a technology that was powered by Machine Learning algorithms like Convolutional Neural Networks (CNN) whereby it allows extraction of text from images or documents in a blink of eye. …”
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    Final Year Project / Dissertation / Thesis
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    Depth value approximation of 2D complex-shape objects for 3D modelling using optical flow and trigonometry by Ng, Seng Beng

    Published 2015
    “…This research introduces an IBM technique using optical flow and trigonometry with images captured via webcams. …”
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    Thesis
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    Artificial Intelligence in accounting / Akma Hidayu Dol @ Abdul Wahid and Rafizan Abdul Razak by Dol @ Abdul Wahid, Akma Hidayu, Abdul Razak, Rafizan

    Published 2025
    “…One example of accounting software that incorporates AI-driven features to enhance financial accounting and management is QNE AI Cloud Accounting. QNE AI Cloud Accounting is the newest product from QNE Software, designed for small and medium businesses and startups. …”
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    Article
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    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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    Thesis
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    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. …”
    Review
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    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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    Thesis
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    Assessing Bat Roosts Using the LiDAR System at Wind Cave Nature Reserve in Sarawak, Malaysian Borneo by Nursyafiqah, Shazali, Teong, Han Chew, Mohd Shahir, Shamsir, Roberta Chaya, Tawie Tingga, Mohd Ridwan, Abd Rahman, Faisal Ali, Anwarali Khan

    Published 2017
    “…Introduction of the Light Detection and Ranging (LiDAR) scanning system, an optical remote sensing technology, for scientific purposes have open many research possibilities especially on cave wildlife surveys. …”
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    Article
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    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…”
    Review
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    Estimating Forest Aboveground Biomass Density Using Remote Sensing and Machine Learning : A RSME Approach by Yaniza Shaira, Zakaria, Mohd Fadzil, Akhir, Aidy, M Muslim, Nur Afiqah, Ariffin, Azizul, Ahmad

    Published 2025
    “…Integrated with the random forest algorithm in the Google Earth Engine for AGB density modeling at a spatial resolution of 1 km, the methodology incorporates GEDI Level 4, Sentinel-1 radar, Sentinel-2 optical imagery, and elevation/slope maps. …”
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    Article