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  1. 1
    Study and Implementation of Data Mining in Urban Gardening

    Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

    Published 2019
    “…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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  2. 2
    Clustering Based on Customers’ Behaviour in Accepting Personal Loan using Unsupervised Machine Learning

    Clustering Based on Customers’ Behaviour in Accepting Personal Loan using Unsupervised Machine Learning by Lim, Wai Ping, Goh, Ching Pang

    Published 2023
    “…This research explores the application of unsupervised learning, a subset of Artificial Intelligence (AI), to analyze customer behavior in accepting personal loans within the banking sector. …”
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  3. 3
    Prediction of payment method in convenience stores using machine learning

    Prediction of payment method in convenience stores using machine learning by Pratondo, Agus, Novianty, Astri, Pudjoatmodjo, Bambang

    Published 2023
    “…The high accuracy rate suggests that machine learning models can effectively assist in tailoring services and marketing strategies based on predicted payment preferences.…”
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  4. 4
    Web-based expert system for material selection of natural fiber- reinforced polymer composites

    Web-based expert system for material selection of natural fiber- reinforced polymer composites by Ahmed Ali, Basheer Ahmed

    Published 2015
    “…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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  5. 5
    Integration of machine learning approach in item bank test system

    Integration of machine learning approach in item bank test system by Sangodiah, A., Ahmad, R., Ahmad, W.F.W.

    Published 2016
    “…However, there is no evidence that current test items or questions in the item test bank system are classified in accordance to BT using machine learning approach. …”
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  6. 6
    Machine learning based return prediction for digital financial portfolios

    Machine learning based return prediction for digital financial portfolios by LinXi Shi, Thien Sang Lim, Jin Yan, Pengcheng Qi, Tao Li

    Published 2025
    “…The machine learning algorithm is introduced to optimize the digital financial portfolio investment return prediction system. …”
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  7. 7
    Suspicious activities detection for anti-money laundering using machine learning techniques

    Suspicious activities detection for anti-money laundering using machine learning techniques by Lim, Aun Chir

    Published 2025
    “…The ultimate goal of this project is to improve the efficiency, accuracy and transparency of anti-money laundering efforts in today’s banking sector. The final product is a web-based system, AMLGuard, which incorporates a machine learning model to detect suspicious transactions related to money laundering. …”
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  8. 8
    Review of the machine learning methods in the classification of phishing attack

    Review of the machine learning methods in the classification of phishing attack by Jupin, John Arthur, Sutikno, Tole, Mohd Arfian, Ismail, Mohd Saberi, Mohamad, Shahreen, Kasim, Deris, Stiawan

    Published 2019
    “…There are several algorithms that can be used in the machine learning method to prevent these attacks. …”
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  9. 9
    Hybrid BLEU Algorithm For Structured Exam Management System

    Hybrid BLEU Algorithm For Structured Exam Management System by Zulhana, Zulkifle

    Published 2008
    “…Teaching and learning process is very essential in education. To evaluate teaching and learning process, many techniques can be applied for instance quiz, test, practical and so forth. …”
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  10. 10
    Erosion Susceptibility mapping using Machine Learning and GIS: A case study of Kelantan

    Erosion Susceptibility mapping using Machine Learning and GIS: A case study of Kelantan by Azizan, Nur Afiqah

    Published 2020
    “…The issue of soil erosion in Kelantan resulted in mudflow, river bank degradation and drinking water pollution. Therefore, this project is focused on predicting the location of soil erosion by using logistic regression Machine Learning algorithm and GIS. …”
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  11. 11
    Orientation and scale based weights initialization scheme for deep convolutional neural networks

    Orientation and scale based weights initialization scheme for deep convolutional neural networks by Azizi Abdullah, Wong, En Ting

    Published 2020
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  12. 12
    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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  13. 13
    A comparative analysis of machine learning approaches in sukuk price estimation across global regions

    A comparative analysis of machine learning approaches in sukuk price estimation across global regions by Islam, Gazi Taufiq, Malakar, Surajit, Hassan, Khondekar Lutful, Dey, Rajesh, Mahajan, Rupali A, Kassim, Salina

    Published 2024
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  14. 14
    Raspberry Pi-Based Finger Vein Recognition System Using PCANet

    Raspberry Pi-Based Finger Vein Recognition System Using PCANet by Quek, Ee Wen

    Published 2018
    “…PCA is employed for learning multistage filter banks. Binary hashing and block histograms are the steps for indexing and pooling. …”
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  15. 15
    Data‑driven audiogram classifer using data normalization and multi‑stage feature selection

    Data‑driven audiogram classifer using data normalization and multi‑stage feature selection by Abeer Elkhouly, Allan MelvinAndrew, HaslizaA Rahim, NidhalAbdulaziz, Mohd FareqAbd Malek, Shafquzzaman Siddique

    Published 2023
    “…In this work, a machine learning solution is introduced to classify the audiograms according to the shapes based on unsupervised spectral clustering. …”
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  16. 16
    Determining malaria risk factors in Abuja, Nigeria using various statistical approaches

    Determining malaria risk factors in Abuja, Nigeria using various statistical approaches by Segun, Oguntade Emmanuel

    Published 2018
    “…Therefore, this was not incorporated in BBN models. Based on cross-validation analysis, the score-based algorithm outperformed the constraint-based algorithms in the structural learning. …”
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  17. 17
    Intelligent image noise types recognition and denoising system using deep learning / Khaw Hui Ying

    Intelligent image noise types recognition and denoising system using deep learning / Khaw Hui Ying by Khaw , Hui Ying

    Published 2019
    “…In order to reduce the training time and computational cost of the algorithm, Principal Components Analysis (PCA) pretraining strategy is deployed to obtain data adaptive filter banks. …”
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  18. 18
    Indonesian Stock Price Prediction Using Neural Basis Expansion Analysis for Interpretable Time Series Method

    Indonesian Stock Price Prediction Using Neural Basis Expansion Analysis for Interpretable Time Series Method by Zein, Muhamad Harun, Yudistira, Novanto, Adikara, Putra Pandu

    Published 2024
    “…In conclusion, this research shows the use of a new method of deep learning algorithms to predict stock prices, which contributes to facilitating stock buying and selling decisions by investors…”
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  19. 19
    Speaker identification through feature fusion based deep learning / Rashid Jahangir

    Speaker identification through feature fusion based deep learning / Rashid Jahangir by Rashid , Jahangir

    Published 2021
    “…In addition, DNN obtained better classification results compared with the other five machine learning algorithms that were recently utilised in speaker recognition. …”
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  20. 20
    Improving hand written digit recognition using hybrid feature selection algorithm

    Improving hand written digit recognition using hybrid feature selection algorithm by Wong, Khye Mun

    Published 2022
    “…Therefore, many researchers have applied and developed various machine learning algorithms that could efficiently tackle the handwritten digit recognition problem. …”
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