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  1. 1
    Machine-learning-based adaptive distance protection relay to eliminate zone-3 protection under-reach problem on statcom-compensated transmission lines

    Machine-learning-based adaptive distance protection relay to eliminate zone-3 protection under-reach problem on statcom-compensated transmission lines by Aker, Elhadi Emhemed Alhaaj Ammar

    Published 2020
    “…These parameters are used to develop a standalone intelligently machine learning adaptive distance relay (ML-ADR) modification. …”
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    Thesis
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  2. 2
    Artificial Intelligence Forecasting for Transmission Line Ampacity

    Artificial Intelligence Forecasting for Transmission Line Ampacity by Hamed Y., Abd Rahman M.S., Ab Kadir M.Z.A., Osman M., Ariffin A.M., Ab Aziz N.F.

    Published 2023
    “…Dynamic line ratings can be modelled physically, statistically, and using machine learning and artificial intelligence. …”
    Book Chapter
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  3. 3
    Nature-inspired parameter controllers for ACO-based reactive search

    Nature-inspired parameter controllers for ACO-based reactive search by Sagban, Rafid, Ku-Mahamud, Ku Ruhana, Abu Bakar, Muhamad Shahbani

    Published 2015
    “…This study proposes machine learning strategies to control the parameter adaptation in ant colony optimization algorithm, the prominent swarm intelligence metaheuristic.The sensitivity to parameters’ selection is one of the main limitations within the swarm intelligence algorithms when solving combinatorial problems.These parameters are often tuned manually by algorithm experts to a set that seems to work well for the problem under study, a standard set from the literature or using off-line parameter tuning procedures. …”
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  4. 4
    An intelligent framework for modelling and active vibration control of flexible structures

    An intelligent framework for modelling and active vibration control of flexible structures by Mohd. Hashim, Siti Zaiton

    Published 2004
    “…Performance of the AVC algorithm is assessed based on parametric design techniques, using RLS and GAS, and non-parametric design techniques, using MLP-NN and ANFIS in the suppression of vibration of the flexible structures. …”
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  5. 5
    Multi-Agent Reinforcement Learning For Swarm Robots Formation

    Multi-Agent Reinforcement Learning For Swarm Robots Formation by Bujang, Christina

    Published 2021
    “…The mobile robot is an independent agent that can use sensors, actuators, and control techniques to navigate intelligently based on the specific task required. …”
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    Monograph
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  6. 6
    Deep-learning-based detection of missing road lane markings using YOLOv5 algorithm

    Deep-learning-based detection of missing road lane markings using YOLOv5 algorithm by Sophian, Ali, Azmi, Nur Hanisah, Bawono, Ali Aryo

    Published 2021
    “…To improve their safety, there are even different types of road lane markings, such as single solid lines, double solid lines, dashed single line etc. …”
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    Proceeding Paper
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  7. 7
    Old Jawi manuscript: Digital recognition / Zaidi Razak

    Old Jawi manuscript: Digital recognition / Zaidi Razak by Zaidi, Razak

    Published 2016
    “…The information gathered is useful for the development of a line segmentation algorithm, a new character segmentation algorithm, as well as a recognition algorithm which is based on the use of a unique code and Hamming distance calculation. …”
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  8. 8
    Adaptive Neural Subtractive Clustering Fuzzy Inference System for the Detection of High Impedance Fault on Distribution Power System

    Adaptive Neural Subtractive Clustering Fuzzy Inference System for the Detection of High Impedance Fault on Distribution Power System by Tawafan, Adnan, Sulaiman , Marizan, Ibrahim, Zulkifilie

    Published 2012
    “…This paper proposes an intelligent algorithm using an adaptive neural- Takagi Sugeno-Kang (TSK) fuzzy modeling approach based on subtractive clustering to detect high impedance fault. …”
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  9. 9
    A conceptual multi-agent framework using ant colony optimization and fuzzy algorithms for learning style detection

    A conceptual multi-agent framework using ant colony optimization and fuzzy algorithms for learning style detection by Basheer G.S., Ahmad M.S., Tang A.Y.C.

    Published 2023
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  10. 10
    Spot welding quality check using artificial intelligence / Jagadisa Rajarathnam

    Spot welding quality check using artificial intelligence / Jagadisa Rajarathnam by Jagadisa, Rajarathnam

    Published 2018
    “…These figures are then used to determine the quality of spot welds. To further enhance the system, artificial intelligence is introduced to it. …”
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  11. 11
    Integrated geophysical, hydrogeochemical and artificial intelligence techniques for groundwater study in the Langat Basin, Malaysia / Mahmoud Khaki

    Integrated geophysical, hydrogeochemical and artificial intelligence techniques for groundwater study in the Langat Basin, Malaysia / Mahmoud Khaki by Mahmoud, Khaki

    Published 2014
    “…Geophysical, hydrogeochemical and artificial intelligence techniques were used to study the groundwater characteristics and their associated problems in Langat Basin, Malaysia. …”
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  12. 12
    Feature-based stereo vision relative positioning strategy for formation control of unmanned aerial vehicles

    Feature-based stereo vision relative positioning strategy for formation control of unmanned aerial vehicles by Yaghoobi, Yousef, Bahiki, Muhammad Rijaluddin, Syaril Azrad

    Published 2019
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  13. 13
    Development of a modified adaptive protection scheme using machine learning technique for fault classification in renewable energy penetrated transmission line

    Development of a modified adaptive protection scheme using machine learning technique for fault classification in renewable energy penetrated transmission line by Olufemi, Osaji Emmanuel

    Published 2020
    “…This study proposed a modified standalone Machine Learning-based Adaptive Protection Scheme (ML-APS) relay' fault classifier model using novel useful hidden Knowledge Discovery from historical fault events Dataset (KDD) from healthy and faulty lines. …”
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  14. 14
    Exploring micro aerial vehicle mechanism and controller design using Webots simulation

    Exploring micro aerial vehicle mechanism and controller design using Webots simulation by Pebrianti, Dwi, Suhaimi, Muhammad Syafiq, Hossain, Md. Jobaher, Bayuaji, Luhur

    Published 2023
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  15. 15
    Exploring micro aerial vehicle mechanism and controller design using webots simulation

    Exploring micro aerial vehicle mechanism and controller design using webots simulation by Dwi, Pebrianti, Muhammad Syafiq, Suhaimi, Hossain, Md. Jobaher, Luhur, Bayuaji

    Published 2023
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  16. 16
    Classification of Distracted Male Driver Based on Driving Performance Indicator (DPI)

    Classification of Distracted Male Driver Based on Driving Performance Indicator (DPI) by Ganasan, Shatiskumar, Norazlianie, Sazali

    Published 2024
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    Conference or Workshop Item
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  17. 17
    Anomaly detection for vision-based inspection

    Anomaly detection for vision-based inspection by Chew, Yan Zhe

    Published 2022
    “…There are two approaches to visual inspection: the conventional approach which uses image processing techniques and the modern AI-based approach through deep learning. …”
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    Final Year Project / Dissertation / Thesis
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  18. 18
    Fault diagnosis in unbalanced radial distribution networks using generalised regression neural network

    Fault diagnosis in unbalanced radial distribution networks using generalised regression neural network by Mirzaei, Maryam

    Published 2011
    “…To achieve this goal, the initial or pre-fault condition of the system has to be computed. Using the proposed method, less learning time of PNN is required for classification. …”
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  19. 19
    New techniques incorporating computational intelligence based for voltage stability evaluation and improvement in power system / Nur Fadilah Ab. Aziz

    New techniques incorporating computational intelligence based for voltage stability evaluation and improvement in power system / Nur Fadilah Ab. Aziz by Ab. Aziz, Nur Fadilah

    Published 2014
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  20. 20
    A Comparison Between Levenberg-Marquardt (LM) Intelligent System And Bayesian Regularization (BR) Intelligent System For Flow Regime Classification

    A Comparison Between Levenberg-Marquardt (LM) Intelligent System And Bayesian Regularization (BR) Intelligent System For Flow Regime Classification by Sa'ad, Mohamad Iqbal

    Published 2006
    “…The comparison made showed that LM learning algortihm is a faster training algorithm compared to BR training algorithm meanwhile BR learning algorithm capable of building a superior intelligent system in term of the overall system performance.…”
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