Search Results - (( intelligence based from algorithm ) OR ( intelligence based 3d algorithm ))

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    Swarm intelligence-based feature selection for amphetamine-type stimulants (ATS) drug 3D molecular structure classification by Draman @ Muda, Azah Kamilah, Mohd Yusof, Norfadzlia, Pratama, Satrya Fajri

    Published 2021
    “…Swarm intelligence-based feature selection techniques are implemented by this work to increase classifier performance in classifying Amphetamine-type Stimulants (ATS) drugs. …”
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    Article
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    Vision-based 3D part recognition system for flexible manufacturing cell by Ismail, Napsiah, Abdul Rahman, Khairuddin, Md Yusof, Juraina, Mohd Kassim, Muhammad Saufi, Tang, Sai Hong, Samin, Razali

    Published 2005
    “…The automatic generation of the 3D objects/parts recognition algorithm and the intelligent based part recognition for FMC will be developed from the multiple 2D images.…”
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    Conference or Workshop Item
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    Enhancement and assessment of WKS variance parameter for intelligent 3D shape recognition and matching based on MPSO by Naffouti, S.E., Aouissaoui, I., Fougerolle, Y., Sakly, A., Meriaudeau, F.

    Published 2017
    “…This paper presents an improved wave kernel signature (WKS) using the modified particle swarm optimization (MPSO)-based intelligent recognition and matching on 3D shapes. …”
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    Article
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    Implementation of autonomous vehicle navigation algorithms using event-driven programming by Saman, Abu Bakar Sayuti, Sebastian , Patrick, Malek, Nadhira, Hasidin, Nurul Zahidah

    Published 2012
    “…By using FSM to describe the behaviour of a navigating mobile robot, an equivalent algorithm can be developed. The algorithm can be relatively easy translated to a suitable program with event-driven programming technique. …”
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    Conference or Workshop Item
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    Auto raise hand in Microsoft teams (API/Extension) by Teh, Boon Hin

    Published 2023
    “…Artificial Intelligence focuses on developing intelligences of machines, by developing algorithms, machines are able to learn from data and patterns, even perform tasks that require human intelligence, such as visual perception, speech recognition, and decision-making. …”
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    Final Year Project / Dissertation / Thesis
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    Recent advances of whale optimization algorithm, its versions and applications by Alyasseri Z.A.A., Ali N.S., Al-Betar M.A., Makhadmeh S.N., Jamil N., Awadallah M.A., Braik M., Mirjalili S.

    Published 2024
    “…One of the SI algorithms is called the whale optimization algorithm (WOA). …”
    Book chapter
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    ANFIS Identification Model of an Advanced Process Control (APC) Pilot Plant by Baloch, M A, Ismail, Idris, Hanif, NHHM, Baloch , Taj Mohamad

    Published 2010
    “…Adaptive Network Based Fuzzy Inference System (ANFIS) uses a hybrid computational algorithm for modeling systems. …”
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    Conference or Workshop Item
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    Identification and predictive control of spray tower system using artificial neural network and differential evolution algorithm by Danzomo, Bashir A., Salami, Momoh Jimoh Eyiomika, Khan, Md. Raisuddin

    Published 2015
    “…Increasing demands for high precision environmental protection measures regarding particulate matter (PM) emission from industrial productions and non-linear characteristics of spray tower system lead to the application of an intelligent control technique to adequately deal with these complexities. …”
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    Proceeding Paper
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    New optimization technique to design the core of three-phase transformer by Alyozbaky, Omar Sh., Ab Kadir, Mohd Zainal Abidin, Izadi, Mahdi, Gomes, Chandima, Azis, Norhafiz, Mohd Isa, Maryam

    Published 2019
    “…Reduction losses in three-phase transformers have drawn the attention of researchers, in the recent years. In this study, an intelligent algorithm employing particle swarm optimization (PSO) has been used to get the optimum T-joint design of a core in a three-phase transformer. …”
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    Conference or Workshop Item
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    Feature Ranking Techniques For 3D ATS Drug Molecular Structure Identification by Saw, Yee Ching

    Published 2018
    “…Six feature ranking techniques were used: Information Gain (IG), Gain Ratio (GR), Symmetrical Uncertainty (SU), Support vector machine based recursive feature elimination (SVM-RFE), and Variable Importance based random forest (VI-RF). …”
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    Thesis