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  1. 1
    Fuzzy modeling using Bat Algorithm optimization for classification

    Fuzzy modeling using Bat Algorithm optimization for classification by Noor Amidah, Ahmad Sultan

    Published 2018
    “…A Sazonov Engine which is a fuzzy java engine is use to apply Bat Algorithm in the experiment. …”
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    Undergraduates Project Papers
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  2. 2
    Classification System for Heart Disease Using Bayesian Classifier

    Classification System for Heart Disease Using Bayesian Classifier by Magendram, Anusha

    Published 2007
    “…This system was developing base on to three main part which is data processing, testing and implementation of the algorithm. …”
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    Thesis
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  3. 3
    An ensemble learning method for spam email detection system based on metaheuristic algorithms

    An ensemble learning method for spam email detection system based on metaheuristic algorithms by Behjat, Amir Rajabi

    Published 2015
    “…Major problems in classification task are large amount of training data, large number of features and different behavior of data streams that reduce accuracy and increase computational cost in classifier training phase. …”
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  4. 4
    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde

    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde by Ogunfolajin Maruff , Tunde

    Published 2022
    “…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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  5. 5
    A web-based implementation of k-means algorithms

    A web-based implementation of k-means algorithms by Lee, Quan

    Published 2022
    “…Firstly, k-luster could incorporate additional clustering algorithms, or even classification algorithms in the future. …”
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    Final Year Project / Dissertation / Thesis
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  6. 6
    Face classification for three major ethnic of Orang Asli using Back Propagation Neural Network / Nor Intan Shafini Nasaruddin

    Face classification for three major ethnic of Orang Asli using Back Propagation Neural Network / Nor Intan Shafini Nasaruddin by Nasaruddin, Nor Intan Shafini

    Published 2012
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  7. 7
    Features selection for intrusion detection system using hybridize PSO-SVM

    Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

    Published 2016
    “…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
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  8. 8
    Development Of Machine Learning User Interface For Pump Diagnostics

    Development Of Machine Learning User Interface For Pump Diagnostics by Lee, Zhao Yang

    Published 2022
    “…Machine Learning is one of the ways as a preventive method by applying the data collected from the clogging experiment in the vibration lab to build up a machine learning model for classification of flow blockage levels in the centrifugal pump. …”
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    Monograph
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  9. 9
    Generalization of Map Details within Computer Assisted Cartography

    Generalization of Map Details within Computer Assisted Cartography by Yusuf, Matharuddin

    Published 1992
    “…subjectivity in generalization, the metamorphasis from manual to digital techniques in cartography has resulted in the development of computer algorithms designed to replicate many tasks previously performed by humans. …”
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    Article
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  10. 10
    Landslide Susceptibility Mapping with Stacking Ensemble Machine Learning

    Landslide Susceptibility Mapping with Stacking Ensemble Machine Learning by Solihin M.I., Yanto, Hayder G., Maarif H.A.-Q.

    Published 2024
    Conference Paper
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  11. 11
    Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions

    Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions by Saraswati, Galuh Wilujeng

    Published 2017
    “…Future work should be focusing on data collection of the E-Nose sensors and the improvement of the learning algorithm robustness towards environmental noise during data acquisition, such as evaporation and contamination of odor samples.…”
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  12. 12
    A Novel Path Prediction Strategy for Tracking Intelligent Travelers

    A Novel Path Prediction Strategy for Tracking Intelligent Travelers by Motlagh, Omid Reza Esmaeili

    Published 2009
    “…Experimental works show the capabilities of the developed DSS in human path prediction using both simulated and actual WLAN-based positioning dataset. …”
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  13. 13
    Face Detection System / Chan Beh Teng

    Face Detection System / Chan Beh Teng by Chan, Beh Teng

    Published 2004
    “…The aim of this project is to replicate on a computer what humans beings are able to do so effortlessly - detect the presence of the faces in their field of vision. …”
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  14. 14
    Al-Istikhlāf framework in the age of artificial intelligence: reclaiming the human identity and responsibility in the digital era

    Al-Istikhlāf framework in the age of artificial intelligence: reclaiming the human identity and responsibility in the digital era by Wan Ismail, Hidayah, Abdelaziz, Berghout

    Published 2025
    “…Drawing on Qur’ānic exegesis, classical Islamic scholarship, and contemporary AI ethics, it contrasted natural intelligence with machine computation and highlighted the unique moral, spiritual, and teleological dimensions of humanity that cannot be replicated by algorithms. The article then applied the al-Istikhlāf framework to assess AI’s impact on identity, psychology, social relations, labour, and spiritual life. …”
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  15. 15
    Adaptive neurofuzzy inference system for an active transfemoral prosthetic leg using in-socket sensory system / Nur Hidayah Mohd Yusof

    Adaptive neurofuzzy inference system for an active transfemoral prosthetic leg using in-socket sensory system / Nur Hidayah Mohd Yusof by Nur Hidayah , Mohd Yusof

    Published 2019
    “…The first part of this work is the development of an Adaptive Neurofuzzy Inference System (ANFIS) - based algorithm to human gait phase recognition. …”
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  16. 16
    Parameters of Artificial Intelligence (AI) in Fatwa Issuance: A Jurisprudential and Technological Ethics Analysis

    Parameters of Artificial Intelligence (AI) in Fatwa Issuance: A Jurisprudential and Technological Ethics Analysis by Ahmad Fikri Che Yusoff, Mohd Harifadilah Rosidi

    Published 2026
    journal::journal article
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  17. 17
    Study of hand gesture recognition using impulse radio ultra wideband (IRUWB) radar sensor

    Study of hand gesture recognition using impulse radio ultra wideband (IRUWB) radar sensor by Terence Jerome Daim

    Published 2023
    “…Documentation of the development process ensures the methodology and findings are well-documented for reference and replication. …”
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  18. 18
    Virtual screening for potential inhibitors of human hexokinase II for the development of anti-dengue therapeutics

    Virtual screening for potential inhibitors of human hexokinase II for the development of anti-dengue therapeutics by Tanbin, Suriyea, Ahmad Fuad, Fazia Adyani, Abdul Hamid, Azzmer Azzar

    Published 2021
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  19. 19
    GLCM correlation approach for blood vessel identification in thermal image

    GLCM correlation approach for blood vessel identification in thermal image by Rusli, Nazreen, Md Yusof, Hazlina, Sidek, Shahrul Na'im, Ishak, Nor Izzati

    Published 2019
    “…In this work, healthy children were assigned as subjects prior to the development of the algorithm for thermal imaging analysis to form a reference model. …”
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    Proceeding Paper
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  20. 20
    Development of low-overhead soft error mitigation technique for safety critical neural networks applications

    Development of low-overhead soft error mitigation technique for safety critical neural networks applications by Khalid Adam, Ismail Hammad

    Published 2021
    “…To address this issue, this study developed a Selective Mitigation Technique based on the standard Triple Modular Redundancy (S-MTTM-R) to determine the model’s vulnerable parts, distinguishing Malfunction and Light-Malfunction errors. …”
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