Search Results - (( intelligence based ((cp algorithm) OR (_ algorithm)) ) OR ( intelligence based ems algorithm ))

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    Energy management strategies, control systems, and artificial intelligence-based algorithms development for hydrogen fuel cell-powered vehicles: A review by Oladosu T.L., Pasupuleti J., Kiong T.S., Koh S.P.J., Yusaf T.

    Published 2025
    “…EMS strategies; AI-based algorithms categories, functions and hybridization; the state-of-art and future direction of AI-based algorithms and HFCEVs? …”
    Review
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    EM-Psychiatry: An Ambient Intelligent System for Psychiatric Emergency by Alam, M.G.R., Haw, R., Kim, S.S., Azad, A.K., Abedin, S.F., Hong, C.S.

    Published 2016
    “…A modified Viterbi, a machine-learning algorithm, is used to generate the most probable psychiatric state sequence based on such observations; then, from the most likely psychiatric state sequence, the emergency psychiatric state is predicted through the proposed algorithm. …”
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    Article
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    Expectation maximization clustering algorithm for user modeling in web usage mining system by Mustapha, Norwati, Jalali, Manijeh, Jalali, Mehrdad

    Published 2009
    “…In this study we advance a model for mining of user’s navigation pattern. The model is based on expectation-maximization (EM) algorithm and it is used for finding maximum likelihood estimates of parameters in probabilistic models, where the model depends on unobserved latent variables. …”
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    Article
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    New Energy Management System Based on Intelligent Digital Power Monitoring by Fakharuddin, Azhar, Nik Mohd Kamil, Nik Yusof, Muhammad, Rauf, Abdalla, Ahmed N.

    Published 2009
    “…This paper introduces a new Energy Management System (EMS) based on intelligent digital power monitoring. …”
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    Conference or Workshop Item
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    Employing Artificial Intelligence to Minimize Internet Fraud by Wong, E.S.K.

    Published 2009
    “…Today, pre-empting or preventing fraud before it happens occurs in the manual, non-computer based business transactions because of the natural intelligence of both seller and buyer. …”
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    Article
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    A Hybrid Soft Computing Framework for Electrical Energy Optimization by Akhtar, Shamim, Muhamad Zahim, Sujod, Rizvi, Syed Sajjad Hussain

    Published 2021
    “…In this paper, a hybrid soft-computing-based framework has been proposed for intelligent energy management and optimization. …”
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    Conference or Workshop Item
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    Energy Management System For Three-Wheel Light Electric Vehicle Using Multi-Sources Energy Models by Azidin, Farid Arafat

    Published 2016
    “…A rule-based control algorithm which contains eight states in EMS is designed to control power switches and to ensure sufficient energy is delivered to the load. …”
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    Thesis
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    Stereo matching algorithm based on deep learning: a survey by Hamzah, Rostam Affendi, Hamid, Mohd Saad, Kadmin, Ahmad Fauzan, Abd Manap, Nurulfajar

    Published 2022
    “…Based on the early survey that had been conducted, two major frameworks available in current stereo matching algorithm development, they are traditional and artificial intelligence (AI) frameworks. …”
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    Article
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    Farmland fertility optimization for designing of interconnected multi-machine power system stabilizer by Sabo, Aliyu, Abdul Wahab, Noor Izzri, Othman, Mohammad Lutfi, Mohd Jaffar, Mai Zurwatul Ahlam, Beiranvand, Hamzeh

    Published 2020
    “…This study describes the process of interconnected multi-machine power system stabilizer (PSS) optimization using a new intelligent technique called farmland fertility algorithm (FFA) to increase the stability of IEEE three machine nine bus power system and offset the low-frequency oscillations (LFOs) during a symmetrical 100 ms three-phase fault at bus 9. …”
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    Article
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    Inverse kinematic solution in handling 3R manipulator via real-time genetic algorithm by Albert F.Y.C., Koh S.P., Tiong S.K., Chen C.P., Yap F.W.

    Published 2023
    “…The Artificial Intelligence (AI) machine usage examines various benefits of its applications in industries. …”
    Conference paper
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    Enhancing teaching and learning through data-driven optimization of servicing code demand and lecturer allocation using WEKA analysis by Rochin Demong, Nur Atiqah, Mohamed Razali, Murni Zarina, Kamaruddin, Juliana Noor, Shamsuddin, Sazwan, Awang, Nor Ain, Kamarudin, Norjuliatie, Wan Othman, Noor Faradilla

    Published 2025
    “…Complementary K-Means clustering grouped the data into two major clusters, indicating that a clear differentiation between economic-based and entrepreneurship-based courses in terms of student enrolment volume and approval distribution. …”
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    Article
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