Search Results - (( mobile education between algorithm ) OR ( panel identification based algorithm ))

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    Student and Staff Perspectives on Important Employability and Global Mobility Skills for Health Professionals in Higher Education by Karan, R. Chadda, Jennifer, Routh, Tizreena, Ismail, Sasikala Dev, Amirthalingam, Chaisiri, Angkurawaranon, Viroj, Boonyaratanakornkit, Dayang Zuraina, Abang Haji Kassim, Dayangku Norlida, Awang Ojep, Sabrina, Lukas, Asri, Said, Kamalan, Jeevaratnam

    Published 2026
    “…This study investigated what value health professional students and staff place on employability and global mobility training. It investigated the most important employability and global mobility characteristics, and how perceptions vary between students and academics. …”
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    Article
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    Neighbour-based on-demand routing algorithms for mobile ad hoc networks by Ejmaa, Ali Mohamed E.

    Published 2017
    “…The broadcasting in this algorithm is governed by the inverse relation between the number of neighbors and the probability of the rebroadcasted RREQ messages. …”
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    Optimizing solar streetlight systems for sustainable urban and community development by Jun, L. W., Zabri, Siti Normi, Mohd Kassim, N. S., Mohamad, Sarah Yasmin

    Published 2025
    “…Additionally, a smart LED control algorithm was developed to minimize energy consumption by dynamically adjusting light output based on demand and availability of stored energy. …”
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    Fault-tolerant power extraction strategy for photovoltaic energy systems by Boutasseta, Nadir, Ramdani, Messaoud, Mekhilef, Saad

    Published 2018
    “…The objective of this study is to propose a fault-tolerant control (FTC) strategy to detect the presence of abnormal operating conditions and reconfigure the MPPT procedure to search for the new suboptimal operating point. The FDI method is based on monitoring the PV panel generated power for the presence of abrupt changes; the MPPT reconfiguration is based on a combination between Incremental Conductance (IncCond) Algorithm and an Improved Current-based Particle Swarm Optimization (ICPSO) tracking technique. …”
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    Development of electronic nose for classification of aromatic herbs using Artificial Intelligent techniques by Che Soh, Azura, Mohamad Radzi, Nur Fadzilah, Mohamad Yusof, Umi Kalsom, Ishak, Asnor Juraiza, Hassan, Mohd Khair

    Published 2018
    “…In normal practice, herbs identification is done mainly by botanists. However, it is difficult for a botanist to recognize herbs based on aroma measurement for species under the same family because they may have almost the same aromas. …”
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