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  1. 1
    Cluster Analysis of Data Points using Partitioning and Probabilistic Model-based Algorithms

    Cluster Analysis of Data Points using Partitioning and Probabilistic Model-based Algorithms by Raheem, Ajiboye Adeleke, Hauwau, Isah-Kebbe, O., Oladele Tinuke

    Published 2014
    “…This study explores the performance accuracies of partitioning-based algorithms and probabilistic model-based algorithm. …”
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  2. 2
    Visualization of dengue incidences using expectation maximization (EM) algorithm

    Visualization of dengue incidences using expectation maximization (EM) algorithm by Mathur, N., Asirvadam, V.S., Dass, S.C., Gill, B.S.

    Published 2017
    “…Along with the prediction modeling on data using centroid model and distribution model based on K-means and Expectation Maximization (EM) algorithms respectively. …”
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  3. 3
    Forecasting and Trading of the Stable Cryptocurrencies With Machine Learning and Deep Learning Algorithms for Market Conditions

    Forecasting and Trading of the Stable Cryptocurrencies With Machine Learning and Deep Learning Algorithms for Market Conditions by Shamshad, H., Ullah, F., Ullah, A., Kebande, V.R., Ullah, S., Al-Dhaqm, A.

    Published 2023
    “…For the model validation, we utilize widely used evaluation techniques: Mean Absolute Error, Root Mean Squared Error, Mean Absolute Percentage Error, and R-squared. …”
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  4. 4
    NARX modelling for steam distillation pilot plant using binary particle swarm optimisation technique / Najidah Hambali

    NARX modelling for steam distillation pilot plant using binary particle swarm optimisation technique / Najidah Hambali by Hambali, Najidah

    Published 2019
    “…Prior to analysing the efficiency of SDPP nonlinear models, the NARX-based BPSO model was checked based on the model validation. …”
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  5. 5
    Estimating Marine CSEM Responses Using Gaussian Process Regression Based on Synthetic Models

    Estimating Marine CSEM Responses Using Gaussian Process Regression Based on Synthetic Models by Mohd Aris, M.N., Daud, H., Mohd Noh, K.A., Dass, S.C.

    Published 2022
    “…For the validation, the mean absolute deviation (MAD), mean squared error (MSE) and root mean squared error (RMSE) between the 2D GP model and the CST outputs (i.e., true values) at the unobserved resistivities are calculated. …”
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  6. 6
    Effective gene selection techniques for classification of gene expression data

    Effective gene selection techniques for classification of gene expression data by Yeo, Lee Chin

    Published 2005
    “…The selected subset of genes is then be used to train the classifiers for constructing rules for future tissue classification problem. Various k-means clustering algorithms and model-based clustering algorithms are proposed to group the genes. …”
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  7. 7
    Utilization of artificial immune system in prediction of paddy production

    Utilization of artificial immune system in prediction of paddy production by Mohd Khidzir, Ainul Bahiah, Abdul Malek, Marlinda, Ismail , Amelia Ritahani, Liew, Juneng, Sie Chun, Ting

    Published 2014
    “…High percentage of accuracy ranges from 90%-92% is obtained throughout the training, validation and testing steps of the model. The results of the study were tested using the Root Mean Square Error (RMSE), Mean Average Percentage Error (MAPE) and coefficient of determination (R2). …”
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  8. 8
    Time series modeling of water level at Sulaiman Station, Klang River, Malaysia

    Time series modeling of water level at Sulaiman Station, Klang River, Malaysia by Galavi, Hadi

    Published 2010
    “…Both models based on the obtained results (below one percent mean absolute percentage error) are appropriate models for the modelling and forecasting of Klang River water level. …”
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  9. 9
    Online system identification development based on recursive weighted least square neural networks of nonlinear hammerstein and wiener models.

    Online system identification development based on recursive weighted least square neural networks of nonlinear hammerstein and wiener models. by Kwad, Ayad Mahmood

    Published 2022
    “…The goodness of fit validation based on the normalized root-mean-square error (NRMSE) and normalized mean square error, and Theil’s inequality coefficient are used to evaluate the performance of models. …”
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  10. 10
    Stereo Camera-Based Aerial Target Geolocation in a Ground-Based Platform Environment

    Stereo Camera-Based Aerial Target Geolocation in a Ground-Based Platform Environment by Amir Hilmi Bin Ahmad Azizi

    Published 2024
    thesis::master thesis
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  11. 11
    Generating vulnerability maps of dengue incidences for Petaling district in Malaysia

    Generating vulnerability maps of dengue incidences for Petaling district in Malaysia by Mathur, N., Asirvadam, V.S., Dass, S.C., Gill, B.S.

    Published 2016
    “…Clustering is performed on this data using centroid and distribution models that are representatives of K-means and the Expectation Maximization (EM) algorithms, respectively. …”
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  12. 12
    Product Recommendation System (Targeted Recommendation using Deep Learning in Computer Vision)

    Product Recommendation System (Targeted Recommendation using Deep Learning in Computer Vision) by Sharvinteraan, C. Mogan

    Published 2023
    “…The system leverages the Multi-task Cascaded Convolutional Networks (MTCNN) algorithm, along with a classifier and the OpenCV library, to accurately recognize faces and extract age and gender information. …”
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    Undergraduates Project Papers
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  13. 13
    An Artificial Intelligence-Based Knowledge Management System for Outcome-Based Education Implementing in Higher Education Institutions

    An Artificial Intelligence-Based Knowledge Management System for Outcome-Based Education Implementing in Higher Education Institutions by Gerhana, Yana Aditia

    Published 2025
    “…Recommendation system on learning analysis was implemented in a hybrid algorithm combines Rule-based and Content-based filtering algorithms. …”
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  14. 14
    From Employees to Entrepreneurs: A Qualitative Exploration of Career Transitions in Ghana

    From Employees to Entrepreneurs: A Qualitative Exploration of Career Transitions in Ghana by Gerhana, Yana Aditia

    Published 2025
    “…Recommendation system on learning analysis was implemented in a hybrid algorithm combines Rule-based and Content-based filtering algorithms. …”
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  15. 15
    Membership function model for defining optimality of vapor pressure deficit in closed-field cultivation of tomato

    Membership function model for defining optimality of vapor pressure deficit in closed-field cultivation of tomato by Shamshiri, Ramin, Che Man, Hasfalina, Zakaria, Abd Jamil, Beveren, Peter van, Wan Ismail, Wan Ishak, Ahmad, Desa

    Published 2016
    “…An incremental algorithm was written in MATLAB© based on definitive concepts in VPD equations and the GR model. …”
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  16. 16
    Satellite based quantitative rainfall estimation for flash flood forecasting / Wardah Tahir

    Satellite based quantitative rainfall estimation for flash flood forecasting / Wardah Tahir by Tahir, Wardah

    Published 2008
    “…In this study, a rainfall estimation algorithm using the information from the geostationary meteorological satellite infrared (IR) images is developed for potential input to a flood forecasting system. …”
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  17. 17
    Effectiveness of simple terminological ontology to support document retrieval in a specialized domain / Seyed Abolfazle Moosavifar

    Effectiveness of simple terminological ontology to support document retrieval in a specialized domain / Seyed Abolfazle Moosavifar by Moosavifar, Seyed Abolfazle

    Published 2014
    “…A common, but robust approach in this area is keyword-based retrieval. The weakness of keyword-based retrieval is its inability to ‘understand’ the meaning of the keywords (semantic). …”
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  18. 18
    Spatial Simulation for Flood Disaster Forecasting: A Geospatial Technology-based Group Analytic Hierarchy Process Approach

    Spatial Simulation for Flood Disaster Forecasting: A Geospatial Technology-based Group Analytic Hierarchy Process Approach by Dano Lawal, Umar, Matori, Abdul Nasir, Wan Yusof, Khamaruzaman, Mustafa Hashim , Ahmad, Aminu, Mansir, Sabri, Soheil, Balogun, Abdul-Lateef, Ahmed Chandio, Imtiaz, Radin Mohd Mokhtar, Munirah

    Published 2013
    “…In validating the robustness of the result, known Flood Extent Extraction Model developed based on a Neural Network Algorithm embedded in ENVI 4.8 software was used. …”
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  19. 19
    Feature extraction and supervised learning for volatile organic compounds gas recognition

    Feature extraction and supervised learning for volatile organic compounds gas recognition by Mohd Tombel, Nor Syahira, Mohd Zaki, Hasan Firdaus, Mohd Fadglullah, Hanna Farihin

    Published 2023
    “…The performance of each model was evaluated and compared using k-Fold cross-validation (k=10) and metrics derived from the confusion matrix. …”
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  20. 20
    Nanoparticles enhanced laser-induced breakdown spectroscopy for characterisation and discrimination of gemstones

    Nanoparticles enhanced laser-induced breakdown spectroscopy for characterisation and discrimination of gemstones by Al-Juboori, Haider, Haider, Zhaib, Hang, Wei, Roslan, Sufi

    Published 2024
    “…The model discriminated gemstones with 99.48% accuracy at the 4th fold and exhibited a mean cross-validation accuracy of 98.97%. …”
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