Search Results - (( vr application new algorithm ) OR ( web application ((rsa algorithm) OR (bees algorithm)) ))*

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    Cryptanalytic attacks on Rivest, Shamir, and Adleman (RSA) cryptosystem: issues and challenges by Abubakar, Adamu, Jabaka, Shehu, Tijani, Bello Idrith, Zeki, Akram M., Chiroma, Haruna, Usman, Mohammed Joda, Raji, Shakirat, Mahmud, Murni

    Published 2014
    “…Prior research studies have shown that RSA algorithm is very successful in protecting enterprises commercial services and systems as well as web servers and browsers to secure web traffic. …”
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    Article
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    REDUCING LATENCY IN A VIRTUAL REALITY-BASED TRAINING APPLICATION by P ISKANDAR, YULITA HANUM

    Published 2006
    “…Apparently, latency is one of the most frequently cited shortcomings of current Virtual Reality (VR) applications. To compensate latency, previous prediction mechanisms insert a complex mathematical algorithm, which may not be appropriate for complex virtual training applications. …”
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    Thesis
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    Digitally signed electronic certificate for workshop / Azinuddin Baharum by Baharum, Azinuddin

    Published 2017
    “…Digital Signature was encrypted by RSA Algorithm, a very powerful asymmetrical encryption. …”
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    Thesis
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    Task scheduling in cloud computing environment using hybrid genetic algorithm and bat algorithm by Muhammad Syahril Mohamad Sainal

    Published 2022
    “…Furthermore, CloudSim simulator will be used to evaluate the performance of this algorithm. The result of the algorithm performance will be appeared in web application system. …”
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    Academic Exercise
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    Robotics in Education by Norashikin, M. Thamrin, Addie, Irawan, Zurita, Zulkifli, Syed Abdul Mutalib, Al Junid, Megat Syahirul Amin, Megat Ali, Anwar P. P., Abdul Majeed

    Published 2026
    “…Subsequent chapters examine new trends such as VR, IoT, and data-driven assessment alongside robotics's global influence in education and career readiness strategies. …”
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    Book
  10. 10

    Design of experiments meets immersive environment: optimising eating atmosphere using artificial neural network by Kantono, Kevin, How, Muhammad Syahmeer, Wang, Qian Janice

    Published 2022
    “…While the results of our study are of obvious interest to those in the hospitality industry, this work further highlights the transferability of methods across different disciplines and the applicability of time-tested methods to new emerging areas.…”
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    Article
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