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  1. 1
    A comparative effectiveness of hierarchical and non-hierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions

    A comparative effectiveness of hierarchical and non-hierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions by Chuan, Zun Liang, Wan Nur Syahidah, Wan Yusoff, Azlyna, Senawi, Mohd Akramin, Mohd Romlay, Fam, Soo-Fen, Wendy Ling, Shinyie, Tan Lit, Ken

    Published 2022
    “…Descriptive data mining has been widely applied in hydrology as the regionalisation algorithms to identify the statistically homogeneous rainfall regions. …”
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  2. 2
    A comparative effectiveness of hierarchical and nonhierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions

    A comparative effectiveness of hierarchical and nonhierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions by Zun, Liang Chuan, Wan Yusof, Wan Nur Syahidah, Senawi, Azlyna, Mohd Akramin, Mohd Romlay, Soo, Fen Fam, Wendy, Ling Shinyie, Tan, Lit Ken

    Published 2022
    “…Descriptive data mining has been widely applied in hydrology as the regionalisation algorithms to identify the statistically homogeneous rainfall regions. …”
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  3. 3
    A comparative effectiveness of hierarchical and nonhierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions

    A comparative effectiveness of hierarchical and nonhierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions by Chuan, Zun Liang, Wan Nur Syahidah, Wan Yusoff, Azlyna, Senawi, Mohd Akramin, Mohd Romlay, Fam, Soo-Fen, Shinyie, Wendy Ling, Ken, Tan Lit

    Published 2022
    “…Descriptive data mining has been widely applied in hydrology as the regionalisation algorithms to identify the statistically homogeneous rainfall regions. …”
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  4. 4
    REGION-BASED ADAPTIVE DISTRIBUTED VIDEO CODING CODEC

    REGION-BASED ADAPTIVE DISTRIBUTED VIDEO CODING CODEC by ABDELRAHMAN ELAMIN, ABDELRAHMAN ELAMIN

    Published 2011
    “…The partitioning allows allocation of appropriate DVC coding parameters (virtual channel, rate, and quantizer) to each region. The resulting regions map is compressed by employing quadtree algorithm and communicated to the encoder via the feedback channel. …”
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  5. 5
    FACTORS INFLUENCING THE INTENTION TO ADOPT E-WALLET: A REGIONAL DISTRIBUTION PERSPECTIVE IN MALAYSIA

    FACTORS INFLUENCING THE INTENTION TO ADOPT E-WALLET: A REGIONAL DISTRIBUTION PERSPECTIVE IN MALAYSIA by Liew, Vernon, Poh, Phaik See

    Published 2022
    “…In contrary, enhancing user experience of the e-wallet adopters in terms of ease of use and usefulness is the ultimate key. Regional distribution findings showed that Northern Region (Perlis, Kedah, Penang, and Perak) has the highest e-wallet adoption rate of 94.4%, followed closely by Central Region (Selangor, Federal Territory of Kuala Lumpur, and Putrajaya) at 92.3%. …”
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  6. 6
    A Hydrologic Model for Studying the Climate Change Impact on Evapotranspiration and Water Yield in a Humid Tropical Watershed

    A Hydrologic Model for Studying the Climate Change Impact on Evapotranspiration and Water Yield in a Humid Tropical Watershed by Nabi, Amjad

    Published 1998
    “…To conduct the sensitivity analyses, climate and vegetation change scenarios were proposed based on the GCM prediction for this region and information from the literature. The procedure developed in this research is an effective and practical integrated approach to modelling the effects of climate and vegetation changes on the hydrologic response of watershed in this region. …”
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  7. 7
    A preliminary lightweight random forest approach-based image classification for plant disease detection

    A preliminary lightweight random forest approach-based image classification for plant disease detection by Mashitah Ibrahim, Muzaffar Hamzah, Mohammad Fadhli Asli

    Published 2022
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  8. 8
    Advancing weed detection in agricultural landscapes using computer vision

    Advancing weed detection in agricultural landscapes using computer vision by Bei Ren Tan, Ervin Moung, Muhd. Nur Afnan Uda, Kenneth Tze Kin Teo

    Published 2023
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  9. 9
    Modified strut-and-tie models for reinforced concrete deep beams with externally bonded CFRP systems

    Modified strut-and-tie models for reinforced concrete deep beams with externally bonded CFRP systems by Hanoon, Ammar Nasiri

    Published 2017
    “…Numerous codes of practice and research recommended the use of the strut-and-tie model (STM) to analyse the discontinuity regions (D-regions) and consequently deep beams. …”
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  10. 10
    Plant identification using combination of fuzzy c-means spatial pyramid matching, gist, multi-texton histogram and multiview dictionary learning

    Plant identification using combination of fuzzy c-means spatial pyramid matching, gist, multi-texton histogram and multiview dictionary learning by Safa, Soodabeh

    Published 2016
    “…Making a detailed knowledge of the identity and geographical distribution of plants is required for an effective agricultural biodiversity. …”
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  11. 11
    Optimising aboveground biomass estimation in rubber plantations using vegetation indices derived from Landsat 8 OLI-TIRS imagery

    Optimising aboveground biomass estimation in rubber plantations using vegetation indices derived from Landsat 8 OLI-TIRS imagery by Shidiq, Iqbal Putut Ash, Ismail, Mohd Hasmadi, Ramli, Mohammad Firuz, Kamarudin, Norizah, Zaki, Pakhriazad Hassan, Alias, Mohamad Azani, Rokhmatuloh, Rokhmatuloh

    Published 2025
    “…The developed model serves as a fundamental algorithm for generating a map that predicts the AGB within the study area. …”
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  12. 12
    A New Robust Weak Supervision Deep Learning Approach for Reservoir Properties Prediction in Malaysian Basin Field

    A New Robust Weak Supervision Deep Learning Approach for Reservoir Properties Prediction in Malaysian Basin Field by Ahmad Fuad, M.I., Hermana, M., Jaya, M.S., Ishak, M.A.

    Published 2023
    “…Featured Application: This article demonstrates the implementation of a new approach to weak supervision techniques for better reservoir properties prediction in the Malaysian Basin in order to improve seismic inversion in this region. The conventional seismic inversion approach is practical for operational work, as it only uses simple linearized algorithms and assumptions, but may be less applicable when dealing with a complex geological setting, especially in the Malay basin fields, as it may introduce non-linear noises and non-unique solutions. …”
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