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    Effectiveness of silhouette rendering algorithms in terrain visualisation by Che Mat, Ruzinoor, Visvalingam, Mahes

    Published 2002
    “…This approach has been implemented in a 3D modelling system to create a new method of displaying and viewing terrain data in an artistic style. …”
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    An approximation approach for free space wave propagation by Hasan, Mohammad Khatim, Sulaiman, Jumat, Othman, Mohamed

    Published 2009
    “…In this paper, we propose a new algorithm with high order characteristic. …”
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    3D silhouette rendering algorithms using vectorisation technique from Kedah topography map by Che Mat, Ruzinoor, Nordin, Norani

    Published 2004
    “…This paper explores how silhouette rendering algorithms could be created using a data that have been extracted from Kedah topography map. …”
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    Employee image in social media as a promotion tool / Harry Ray Usah by Usah, Harry Ray

    Published 2022
    “…In this modern day, there are quantitative or a lot of companies and brand that are deal with this modern market, by that they need to find out a new way and style in promoting their business activities. …”
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    Book Section
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    Evaluation of Instagram's neural machine translation for literary texts: an MQM-Based Analysis by Fakih, Altaf, Ghassemiazghandi, Mozhgan, Fakih, Abdul-Hafeed, Manjet K. M. Singh

    Published 2024
    “…The findings suggest a need for enhanced algorithms and linguistic architecture in Neural Machine Translation systems to better recognize linguistic variants and text genres for more accurate and fluent translations.…”
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    Article
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    The internal branding practice and brand citizenship behavior: the mediating effects of employee brand fit by Adamu, Lawi

    Published 2018
    “…Primarily, this study explored the role of employee brand fit as a mediator on the relationship between internal branding practices namely brand leadership, brand reward, brand training and brand communication and employee BCB. …”
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    Thesis
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    CHINESE CHARACTER RECOGNITION USING SUPPORT VECTOR MACHINE by Baharum A., Ismail R., Wahab S.H.A., Deris F.D., Noor N.A.M., Kasihmuddin M.S.M.

    Published 2023
    “…It is used by more than one-quarter of the world�s population in daily communication. Chinese characters can be considered difficult because they have many categories, complex character structures, similarities between characters, and various fonts or writing styles. …”
    Article
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    Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform by Alias, Norma, Satam, Noriza, Abd. Ghaffar, Zarith Safiza, Darwis, Roziha, Hamzah, Norhafiza, Islam, Md. Rajibul

    Published 2009
    “…New Iterative Alternating Group Explicit (NAGE) is a powerful parallel numerical algorithm for multidimensional temperature prediction. …”
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    Worst-case latency analysis for AVB traffic under overlapping-based time-triggered windows in time-sensitive networks by Shalghum, Khaled M., Noordin, Nor K., Sali, Aduwati, Hashim, Fazirulhisyam

    Published 2022
    “…For this reason, a window-overlapping scheduling algorithm is recently proposed in different works as analytical forms for TT latency under overlapping-windows based. …”
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    Article
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    Social Media Portfolio (ENT 530): InternetNetizen / Putera Muhammad Hakimi Zaini by Zaini, Putera Muhammad Hakimi

    Published 2021
    “…‘InternetNetizen’ is a business owned by Putera Hakimi. Social media such as Facebook, Instagram, and WhatsApp for any inquiries or transactional processes about the product also promote, communicate, and interact with the customers. …”
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    Entrepreneurship Project
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    Deep reinforcement learning based resource allocation strategy in cloud-edge computing system by Ahmed Adhoni, Zameer, Habelalmateen, Mohammed, DR Janardhana, DR Janardhana, Abdul Sattar, Khalid Nazim, Audah, Lukman

    Published 2024
    “…This exhibition shows that MAL-DRL improves the average latency more (44% savings) and at the same time more resources are used (35% increase) compared both the alternatives with a combined reward measure score of 0.80. These results show that distributed decision-making and learning styles of MAL-DRL brings together faster resource allocation which can be interpreted as a reduction of users’ delay experience and therefore lead to better performance of whole system. …”
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