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  1. 1
    Implementation of machine learning algorithms for streamflow prediction of Dokan dam

    Implementation of machine learning algorithms for streamflow prediction of Dokan dam by Sarmad Dashti Latif, Mr.

    Published 2023
    “…This study aims at comparing the application of deep learning algorithms and conventional machine learning algorithms for predicting reservoir inflow. …”
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  2. 2
    Optimization of multi-agent traffic network system with Q-Learning-Tune fitness function

    Optimization of multi-agent traffic network system with Q-Learning-Tune fitness function by Tan, Min Keng

    Published 2019
    “…The idea is proposed in effort of accessing the functionality of the proposed algorithm to improve the smoothness of traffic flow in a network. …”
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  3. 3
    Learning representations of network traffic using deep neural networks for network anomaly detection: A perspective towards oil and gas it infrastructures

    Learning representations of network traffic using deep neural networks for network anomaly detection: A perspective towards oil and gas it infrastructures by Naseer, S., Ali, R.F., Dominic, P.D.D., Saleem, Y.

    Published 2020
    “…In this study we propose, implement and evaluate use of Deep learning to learn effective Network data representations from raw network traffic to develop data driven anomaly detection systems. …”
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  4. 4
    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
    “…The hybrid Wavelet Multiresolution Analysis and Machine learning algorithm (WMRA-ML) is used to extracts the useful hidden knowledge from decomposed one-cycle fault transient signals (voltage & current) from four Matlab/Simulink CIGRE models. …”
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  5. 5
    Sales prediction for Adha Station by using predictive analytics

    Sales prediction for Adha Station by using predictive analytics by Mohd Mokhid, Muhammad Amier Latieff

    Published 2025
    “…This research presented a technique for projecting sales utilising current data through a machine learning algorithm. The CRISP-DM approach was employed to execute the project across the phases of business understanding, data preparation, modelling, assessment, and deployment. …”
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    Student Project
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  6. 6
    Artificial Intelligence Based Hybrid Forecasting Approaches for Wind Power Generation: Progress, Challenges and Prospects

    Artificial Intelligence Based Hybrid Forecasting Approaches for Wind Power Generation: Progress, Challenges and Prospects by Lipu M.S.H., Miah M.S., Hannan M.A., Hussain A., Sarker M.R., Ayob A., Saad M.H.M., Mahmud M.S.

    Published 2023
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  7. 7
    Development of personal finance mobile application with Optical Character Recognition (OCR) technology for automated receipt management and expense tracking

    Development of personal finance mobile application with Optical Character Recognition (OCR) technology for automated receipt management and expense tracking by Tan, Su Hua

    Published 2023
    “…It is a technology that was powered by Machine Learning algorithms like Convolutional Neural Networks (CNN) whereby it allows extraction of text from images or documents in a blink of eye. …”
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  8. 8
    Autonomous path planning robot using geographical information

    Autonomous path planning robot using geographical information by Ismail Ishaq Ibrahim

    Published 2008
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  9. 9
    Spatial Data Mining Model For Landfill Sites Suitability Mapping Based On Neural Networks And Multivariate Analysis

    Spatial Data Mining Model For Landfill Sites Suitability Mapping Based On Neural Networks And Multivariate Analysis by Abujayyab, Sohaib K. M.

    Published 2017
    “…It is very crucial to have a precise suitability mapping workflow for new landfill sites in the development planning of municipal solid waste management systems. …”
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  10. 10
    Dynamic path planning algorithm in mobile robot navigation

    Dynamic path planning algorithm in mobile robot navigation by Yun, S.C., Parasuraman, S., Ganapathy, V.

    Published 2011
    “…MATLAB simulation is developed to verify and validate the algorithm before they are real time implemented on Team AmigoBotTM robot. …”
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    Conference or Workshop Item
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  11. 11
    A new hybrid fuzzy ARTMAP and radial basis function neural network with online pruning strategy

    A new hybrid fuzzy ARTMAP and radial basis function neural network with online pruning strategy by Leow S.Y., Wong S.Y., Yap K.S., Yap H.J.

    Published 2023
    Conference Paper
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  12. 12
    A Reference Based Surface Defect Segmentation Algorithm For Automatic Optical Inspection System

    A Reference Based Surface Defect Segmentation Algorithm For Automatic Optical Inspection System by Wong, Ze-Hao

    Published 2020
    “…This study aims to develop an algorithm for the AOI system to segment and detect surface defects, requiring low processing power and a small number of learning dataset with labelling error resistance. …”
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  13. 13
    Binary Coati Optimization Algorithm- Multi- Kernel Least Square Support Vector Machine-Extreme Learning Machine Model (BCOA-MKLSSVM-ELM): A New Hybrid Machine Learning Model for Predicting Reservoir Water Level

    Binary Coati Optimization Algorithm- Multi- Kernel Least Square Support Vector Machine-Extreme Learning Machine Model (BCOA-MKLSSVM-ELM): A New Hybrid Machine Learning Model for Pr... by Sammen S.S., Ehteram M., Sheikh Khozani Z., Sidek L.M.

    Published 2024
    “…In this study, we used extreme learning machine (ELM)-multi-kernel least square support vector machine (ELM-MKLSSVM), extreme learning machine (ELM)-LSSVM-polynomial kernel function (PKF) (ELM-LSSVM-PKF), ELM-LSSVM-radial basis kernel function (RBF) (ELM-LSSVM-RBF), ELM-LSSVM-Linear Kernel function (LKF), ELM, and MKLSSVM models to predict water level. …”
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  14. 14
    One day ahead daily peak hour load forecasting by using invasive weed optimization learning algorithm based Artificial Neural Network

    One day ahead daily peak hour load forecasting by using invasive weed optimization learning algorithm based Artificial Neural Network by Rahim, Muhammad Fitri

    Published 2012
    “…Hence, this indicates that Invasive Weed Optimization could be implemented as a new learning algorithm for an Artificial Neural Network.…”
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  15. 15
    FROM IMAGE TO GRAPH-BASED DATA FOR PATH PLANNING

    FROM IMAGE TO GRAPH-BASED DATA FOR PATH PLANNING by MOHAMAD YATIM, NOOR AMANINA HANISAH

    Published 2019
    “…This implementation of graph traversal, statistics and machine learning algorithms were a challenging part to be done. …”
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    Final Year Project
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  16. 16
    The effectiveness of using the Lattice in multiplication skills among Year 5 in SK Beradek / Muhamad Shaharudin Muhamad Sarip

    The effectiveness of using the Lattice in multiplication skills among Year 5 in SK Beradek / Muhamad Shaharudin Muhamad Sarip by Muhamad Sarip, Muhamad Shaharudin

    Published 2015
    “…The study involved 20 respondents were selected based on preliminary observations made in the class during the process of teaching and learning. This study was conducted based on Kurt Lewin's research model involves five main steps of identifying aspects of practice, designing an action plan, implementing the plan of action, the effect of the action, and reflection on all the action. …”
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  17. 17
    Optimization Of Two-Dimensional Dual Beam Scanning System Using Genetic Algorithms

    Optimization Of Two-Dimensional Dual Beam Scanning System Using Genetic Algorithms by Koh, Johnny Siaw Paw

    Published 2008
    “…This algorithm has been tested and implemented successfully via a dual beam optical scanning system.…”
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  18. 18
    Hybrid Harmony Search Algorithm with Grey Wolf Optimizer and Modified Opposition-based Learning

    Hybrid Harmony Search Algorithm with Grey Wolf Optimizer and Modified Opposition-based Learning by Alomoush, Alaa A., Alsewari, Abdulrahman A., Alamri, Hammoudeh S., Aloufi, Khalid, Kamal Z., Zamli

    Published 2019
    “…Many variants have been developed to cope with this problem and improve algorithm performance. …”
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  19. 19
    Particle swarm optimization for neural network learning enhancement

    Particle swarm optimization for neural network learning enhancement by Abdull Hamed, Haza Nuzly

    Published 2006
    “…Two programs have been developed; Particle Swarm Optimization Feedforward Neural Network (PSONN) and Genetic Algorithm Backpropagation Neural Network (GANN). …”
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  20. 20
    Support directional shifting vector: A direction based machine learning classifier

    Support directional shifting vector: A direction based machine learning classifier by Kowsher, Md., Hossen, Imran, Tahabilder, Anik, Prottasha, Nusrat Jahan, Habib, Kaiser, Zafril Rizal, M Azmi

    Published 2021
    “…The positional error of the linear function has been modelled as a loss function which is iteratively optimized using the gradient descent algorithm. …”
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