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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 process begins through the monitoring of plants using sensors connected to the Arduino device. Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. …”
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  2. 2
    The significant effect of feature selection methods in spam risk assessment using dendritic cell algorithm

    The significant effect of feature selection methods in spam risk assessment using dendritic cell algorithm by Zainal K., Jali M.Z.

    Published 2024
    Subjects:
    conference output::conference proceedings::conference paper
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  3. 3
    Design Of Robot Motion Planning Algorithm For Wall Following Robot

    Design Of Robot Motion Planning Algorithm For Wall Following Robot by Ali Hassan, Muhamad Khairul

    Published 2006
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    Monograph
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  4. 4
    Improving performance of automated coronary arterial tree center-line extraction, stent localization and tracking

    Improving performance of automated coronary arterial tree center-line extraction, stent localization and tracking by Boroujeni, Farsad Zamani

    Published 2012
    “…This problem is addressed by proposing an accurate and robust centerline extraction method. Starting at each detected seed point, the centerline extraction method utilizes eigenvalues and eigenvectors of Hessian matrix for the pixels located on a semi-circular scanning profile for robust estimation of the next centerline point. …”
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    Thesis
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  5. 5
    Human activity recognition via accelerometer and gyro sensors

    Human activity recognition via accelerometer and gyro sensors by Tee, Jia Lin

    Published 2023
    “…To implement the data engineering system proposed, two mobile applications, SensorData and SensorDataLogger with user-friendly interfaces and intuitive functionalities are developed using Java programming language and Android Studio. …”
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    Final Year Project / Dissertation / Thesis
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  6. 6
    Enhanced Late-Straggler Algorithm With On-Demand Etl For Big Data Retrieval

    Enhanced Late-Straggler Algorithm With On-Demand Etl For Big Data Retrieval by Zakaria Katrawi, Anwar Hussein

    Published 2022
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    Thesis
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  7. 7
    The potential of shear wave velocity as an erosion risk index

    The potential of shear wave velocity as an erosion risk index by Abd. Rahman, Norinah, Rehman, Muhammad Ali, Zahari, Nur Afiqah, Mohd Taib, Aizat, Wan Mohtar, Wan Hanna Melini, Ramli, Ahmad Bukhari, Ibrahim, Aniza, Abang Hasbollah, Dayang Zulaika, Mitu, Sadia Mannan, Nurddin, Mohamad Faizal

    Published 2022
    “…The shear wave velocity erosion risk ranged from 10 m/s to 120 m/s, indicating critical risk and low risk, respectively. …”
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  8. 8
    Assessment of the beach profile at Terengganu coastline / Emran Zaki Abdul Halim

    Assessment of the beach profile at Terengganu coastline / Emran Zaki Abdul Halim by Abdul Halim, Emran Zaki

    Published 2024
    “…The method for determining the beach profile in this study involves using Google Earth Pro to extract beach profile conditions, while a coastal slope estimation algorithm will be employed for detailed in-situ analysis. …”
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    Student Project
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  9. 9
    Using machine learning algorithms to develop a clinical 2 decision-making tool for COVID-19 inpatients

    Using machine learning algorithms to develop a clinical 2 decision-making tool for COVID-19 inpatients by Vepa, Abhinav, Saleem, Amer, Rakhshan, Kambiz, Daneshkhah, Alireza

    Published 2021
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  10. 10
    Deep learning for EEG data analysis

    Deep learning for EEG data analysis by Cheah, Kit Hwa

    Published 2018
    “…While an EEG has high potential to serve in medicine (e.g. disease diagnosis, prognosis, pre-disease risk identification), psycho-physiology (e.g. mood classification, stress monitoring, alertness monitoring, sleep stage monitoring), brain-computer interface application (e.g. thought typing, prosthesis control), and many other areas, the classical design of EEG feature extraction algorithms and EEG classifiers is time-consuming and challenging to fully tap into the vast data embedded in the EEG. …”
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  11. 11
    Analysis of the Flood Extent Extraction Model and the Natural Flood Influencing Factors: A GIS-based and Remote Sensing Analysis

    Analysis of the Flood Extent Extraction Model and the Natural Flood Influencing Factors: A GIS-based and Remote Sensing Analysis by Dano Umar, Lawal, Matori, Abdul Nasir, Wan Yusof, Khamaruzaman, Balogun, Abdul-Lateef

    Published 2013
    “…Flood is basically one of the weather related natural catastrophes. There are various methods used in an attempt to provide most reliable ways to reduce the flood risk and damages to the optimum level by identifying the flood vulnerable zones. …”
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    Conference or Workshop Item
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  12. 12
    Decision support system for the glaucoma using Gabor transformation

    Decision support system for the glaucoma using Gabor transformation by Acharya, U.R., Ng, E.Y.K., Eugene, L.W.J., Noronha, K.P., Min, L.C., Nayak, K.P., Bhandary, S.V.

    Published 2015
    “…This paper proposes a novel automated glaucoma diagnosis method using various features extracted from Gabor transform applied on digital fundus images. …”
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  13. 13
    Classification and prediction analysis for weld bead surface quality using feature extraction and mahalanobis-taguchi system

    Classification and prediction analysis for weld bead surface quality using feature extraction and mahalanobis-taguchi system by Nolia, Harudin, Muhammad Ikmal Hafiz, Mohd Yusof, Zulkifli, Marlah@Marlan, Faizir, Ramlie, Wan Zuki Azman, Wan Muhamad, Mohd Yazid, Abu, Zamzuraida, Baharum

    Published 2025
    “…A comprehensive threshold analysis improves classification accuracy, minimizing the risk of misclassification. The results reveal that while the K-means clustering method outperforms the Variable Bin Width method across several performance metrics, including an accuracy of 86.36% and a high specificity of 94.5%, the method’s recall rate of 50.49% indicates room for improvement in identifying true positives. …”
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  14. 14
    Design & Development of a Robotic System Using LEGO Mindstorm

    Design & Development of a Robotic System Using LEGO Mindstorm by Abd Manap, Nurulfajar, Md Salim, Sani Irwan, Haron, Nor Zaidi

    Published 2006
    “…Since the model is built using LEGO bricks, the model is fully customized, in term of its applications, to perform any relevant tasks. Ultimately, the algorithm development program designed earlier is linked up directly to the robotic model for program implementation and verification. …”
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  15. 15
    Investigation of dimensionality reduction in a finger vein verification system

    Investigation of dimensionality reduction in a finger vein verification system by Ting, Ei Wei, M. Z., Ibrahim, Mulvaney, D. J.

    Published 2018
    “…Risk can be reduced by adopting direct methods that identify the person and these are generally biometric methods, such as iris, face, voice and fingerprint recognition approaches. …”
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  16. 16
    A hybrid deep CNN model for fast class-incremental food classification / Aymen Taher Ahmed al-Ashwal

    A hybrid deep CNN model for fast class-incremental food classification / Aymen Taher Ahmed al-Ashwal by Aymen Taher , Ahmed al-Ashwal

    Published 2019
    “…The method employs the intelligence of deep CNN (DenseNet Model) to extract the features after training the model on a wide range of food categories and images. …”
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  17. 17
    Color Image Segmentation Based on Bayesian Theorem for Mobile Robot Navigation

    Color Image Segmentation Based on Bayesian Theorem for Mobile Robot Navigation by Rahimizadeh, Hamid

    Published 2009
    “…Experimental results show that the proposed algorithm works better than other two methods in terms of classifier accuracy with result of more than 99 percent successful segmentation of desired color in varying illumination. …”
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  18. 18
    EEG-based fatigue detection using binary pattern analysis and KNN algorithm

    EEG-based fatigue detection using binary pattern analysis and KNN algorithm by Abd Rahman, Faridah, Roslizan, Iszan Uwais Amer, Gunawan, Teddy Surya, Fitriawan, Helmy, Kartiwi, Mira, Habaebi, Mohamed Hadi

    Published 2024
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  19. 19
    Prediction of breast cancer relapse time in continuous scale based on type-2 TSK fuzzy model

    Prediction of breast cancer relapse time in continuous scale based on type-2 TSK fuzzy model by Mahmoudian, Sayed Hamid

    Published 2010
    “…In addition, K-fold Cross Validation, B632 and B632+ methods have been used for error estimation. In the first objective of the thesis, a lemma has been proven and a new hybrid algorithm based on Fuzzy Association Rule Mining has been proposed to gather some selected genes and generate fuzzy rules for classification. …”
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  20. 20
    Enhancing project completion date prediction using a hybrid model: rule-based algorithm and machine learning algorithm

    Enhancing project completion date prediction using a hybrid model: rule-based algorithm and machine learning algorithm by Abd Rahman, Mohd Shahrizan, Jamaludin, Nor Azliana Akmal, Zainol, Zuraini, Tengku Sembok, Tengku Mohd

    Published 2025
    “…The study employs a hybrid predictive model that combines Big Data technologies, Extract Load Transfer (ELT) processes, rule-based algorithms (RBA), machine learning (ML), and Power BI visualizations. …”
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