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  1. 1
    Adaptive DNA computing algorithm by using PCR and restriction enzyme

    Adaptive DNA computing algorithm by using PCR and restriction enzyme by Watanabe, Shinpei, Tsuboi, Yusei, Ibrahim, Zuwairie, Yamamoto, Tsuneto, Ono, Osamu

    Published 2004
    “…By doing this, the molecules which serve as a solution candidate can he narrowcd down and the optimal solution can be detected easily. …”
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  2. 2
    Breast Cancer Prediction Model Using Machine Learning

    Breast Cancer Prediction Model Using Machine Learning by Muhammad Amin, Bakri, Inna, Ekawati

    Published 2021
    “…Modelling with machine learning is done by selecting three candidate algorithms, namely Random Forest, Support Vector Machine, and Logistic Regression. …”
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  3. 3
    Improved fault location on distribution network based on multiple measurements of voltage sags pattern

    Improved fault location on distribution network based on multiple measurements of voltage sags pattern by Awalin, L.J., Mokhlis, Hazlie, Halim, A.H.A.

    Published 2012
    “…A new ranking approach is proposed to overcome multiple faulted section candidates. A large scale 11 kV network which comprises of 43 nodes and 5 branches are used to evaluate the proposed algorithm. …”
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  4. 4
    Defect green coffee bean detection using image recognition and supervised learning

    Defect green coffee bean detection using image recognition and supervised learning by Shafian Izan Sofian

    Published 2022
    “…Therefore, in this research project, the process will be conducted by using an image classifier with the model of a machine learning algorithm which the candidates comprise of Support Vector Machine, k-Nearest Neighbour and Decision Tree. k-nearest neighbour has the highest F1-score (0.51) than the other two algorithms (Support Vector Machine: 0.50, and Decision Tree: 0.48). …”
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  5. 5
    An Association Rule Mining Approach in Predicting Flood Areas

    An Association Rule Mining Approach in Predicting Flood Areas by Makhtar, Prof. Ts. Dr. Mokhairi, Syed Abdullah, Prof. Madya Dr. Engku Fadzli Hasan, Jusoh, Dr. Julaily Aida, Abdul Aziz, Azwa, Zakaria, Prof. Madya Dr. Zahrahtul Amani

    Published 2016
    “…Consequently, by using the Apriori algorithm, it generated the 10 best rules with 100% confidence level and 40% minimum support after the candidate generation and pruning technique. …”
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  6. 6
    An effective source number enumeration approach based on SEMD

    An effective source number enumeration approach based on SEMD by Ge, Shengguo, Mohd Rum, Siti Nurulain, Ibrahim, Hamidah, Marsilah, Erzam, Perumal, Thinagaran

    Published 2022
    “…Finally, the back propagation (BP) neural network is used to predict the number of sources. Experiment shows that SEMD can effectively restrain the end effect, and the source number enumeration algorithm based on SEMD has a higher correct detection probability than others.…”
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  7. 7
    3D face candidate region detection using background subtraction / Zulfikri Paidi and Nurzaid Muhd Zain

    3D face candidate region detection using background subtraction / Zulfikri Paidi and Nurzaid Muhd Zain by Paidi, Zulfikri, Muhd Zain, Nurzaid

    Published 2016
    “…Our focus is to solve the first challenge in face registration, which is to detect and identify face region. From the experiment, it shows some promising results related to using background subtraction in face candidate region detection algorithm. …”
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  8. 8
    Informative top-k class associative rule for cancer biomarker discovery on microarray data

    Informative top-k class associative rule for cancer biomarker discovery on microarray data by Ong, Huey Fang, Mustapha, Norwati, Hamdan, Hazlina, Rosli, Rozita, Mustapha, Aida

    Published 2020
    “…This paper proposes an informative top-k class associative rule (iTCAR) method in an integrative framework for identifying candidate genes of specific cancers. iTCAR introduces an enhanced associative classification algorithm that integrates microarray data with biological information from gene ontology, KEGG pathways, and protein-protein interactions to generate informative class associative rules. …”
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  9. 9
    Informative top-k class associative rule for cancer biomarker discovery on microarray data

    Informative top-k class associative rule for cancer biomarker discovery on microarray data by Ong, Huey Fang, Mustapha, Norwati, Hamdan, Hazlina, Rosli, Rozita, Mustapha, Aida

    Published 2020
    “…This paper proposes an informative top-k class associative rule ( i TCAR) method in an integrative framework for identifying candidate genes of specific cancers. i TCAR introduces an enhanced associative classification algorithm that integrates microarray data with biological informa- tion from gene ontology, KEGG pathways, and protein-protein interactions to generate informative class associative rules. …”
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  10. 10
    MicroRNA regulation of human choline kinase gene expression

    MicroRNA regulation of human choline kinase gene expression by Ling, Few Ling

    Published 2019
    “…MiRNAs binding was predicted by several online computer programs that utilize different algorithms. …”
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  11. 11
    Automated face localization and facial features detection using geometric information

    Automated face localization and facial features detection using geometric information by Chai, Tong Yuen, Mohd Rizon, Mohamed Juhari, Prof. Dr., Karthigayan, M., Sugisaka, M., Hazry, Desa, Dr., Ibrahim, Z.

    Published 2011
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  12. 12
    Real-time detection of face and iris

    Real-time detection of face and iris by Chai, Tong Yuen, Mohamed Rizon, Mohamed Juhari, Prof. Dr., Muhammad Shazri

    Published 2011
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  13. 13
    C4.5 Algorithm Application for Prediction of Self Candidate New Students in Higher Education

    C4.5 Algorithm Application for Prediction of Self Candidate New Students in Higher Education by Erlan, Darmawan

    Published 2018
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  14. 14
    Temporal video segmentation using squared form of Krawtchouk-Tchebichef moments

    Temporal video segmentation using squared form of Krawtchouk-Tchebichef moments by Abdulhussain, Sadiq H.

    Published 2018
    “…The fade transitions are detected based on the smoothed moments energy and the moments of gradients correlation for the candidate segments. …”
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  15. 15
    Skin detection using HSV color component subtraction and texture information / Rizal Mat Jusoh and Norhazimi Hamzah

    Skin detection using HSV color component subtraction and texture information / Rizal Mat Jusoh and Norhazimi Hamzah by Mat Jusoh, Rizal, Hamzah, Norhazimi

    Published 2010
    “…This thesis presents skin detection algorithm for detecting human skin regions in color images. …”
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  16. 16
    Automatic detection of face and facial features

    Automatic detection of face and facial features by Chai, Tong Yuen, Mohd Rizon, Mohamed Juhari, Prof. Dr., Woo, San San, Sugisaka, M.

    Published 2011
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  17. 17
    Improvement real-time detection of moving vehicle in a dynamic scene using shadow removal method / Khairul Azman Ahmad, Mohd Halim Mohd Noor,Mohamad Adha Mohamad Idin

    Improvement real-time detection of moving vehicle in a dynamic scene using shadow removal method / Khairul Azman Ahmad, Mohd Halim Mohd Noor,Mohamad Adha Mohamad Idin by Ahmad, Khairul Azman, Mohd Noor, Mohd Halim, Mohamad Idin, Mohamad Adha

    Published 2011
    “…Real-time processing is still feasible as these sophisticated algorithms are applied only a small number of candidates foreground pixels. …”
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  18. 18
    Prediction of breast cancer diagnosis using machine learning in Malaysian women

    Prediction of breast cancer diagnosis using machine learning in Malaysian women by Mokhtar, Tengku Muhammad Hanis Tengku

    Published 2024
    “…The three frequently used ML algorithms were deep learning, support vector machine (SVM), and cluster analysis. …”
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  19. 19
    Improved Malware detection model with Apriori Association rule and particle swarm optimization

    Improved Malware detection model with Apriori Association rule and particle swarm optimization by Adebayo, Olawale Surajudeen, Abdul Aziz, Normaziah

    Published 2019
    “…These rule models are used together with extraction algorithm to classify and detect malicious android application. …”
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  20. 20
    Android Malware classification using static code analysis and Apriori algorithm improved with particle swarm optimization

    Android Malware classification using static code analysis and Apriori algorithm improved with particle swarm optimization by Adebayo, Olawale Surajudeen, Abdul Aziz, Normaziah

    Published 2014
    “…In this method, features were extracted from Android applications byte-code through static code analysis, selected and were used to train supervised classifiers. Using a number of candidate detectors, the true positive rate of detecting malicious code is maximized, while the false positive rate of wrongful detection is minimized. …”
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