Search Results - (( intelligence waste system algorithm ) OR ( intelligence based non algorithm ))*

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    Improved autonomous charging of mobile multi-robots using honeybee-inspired algorithm by Ahmad@Mohd Yusoff, Faisul Arif

    Published 2016
    “…In order for the mobile robot to work continuously, an autonomous charging system has been developed by the researchers. In the multi-robot environment, various methods have been proposed to avoid the waste of energy when searching for the power station. …”
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    Thesis
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    Dynamic traffic light flow control system using on-road sensor technology / Mohamed Irfan by Mohamed , Irfan

    Published 2017
    “…In this research, a system is proposed that utilizes and manages traffic light controllers; more specifically an algorithm is presented which dynamically changes the traffic control system based on the vehicular flow data generated by on-road sensor technology. …”
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    Thesis
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    IMPLEMENTATION OF ADVANCED PROCESS CONTROL FOR FLOW CONTROL APPLICATION by ROSLI, NURFATIHAH SYALWIAH

    Published 2013
    “…Therefore when disturbance occurs, the system is becoming dynamic process. Thus, to reduce the waste, the conventional PID controller is not the best option. …”
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    Final Year Project
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    Active intelligent control of vibration of flexible plate structures by Md Salleh, Salihatun

    Published 2011
    “…However, the non-model based AVC algorithms are faster than their model-based AVC counterparts.…”
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    Thesis
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    A decomposed streamflow non-gradientbased artificial intelligence forecasting algorithm with factoring in aleatoric and epistemic variables / Wei Yaxing by Wei , Yaxing

    Published 2024
    “…Firefly algorithm outperformed the other metaheuristic algorithms used to solve this proposed hybrid artificial intelligence model regarding parameter sensitivity. …”
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    Thesis
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    An intelligent risk management framework for monitoring vehicular engine health by Rahim, Md. Abdur, Rahman, Md. Arafatur, Rahman, Md. Mustafizur, Zaman, Nafees, Moustafa, Nour, Razzak, Imran

    Published 2022
    “…We used machine learning and deep learning algorithms to assess the effectiveness of the risk management system’s decision model. …”
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    Article
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