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  1. 1
    Jogging activity recognition using k-NN algorithm

    Jogging activity recognition using k-NN algorithm by Afifah Ismail

    Published 2022
    “…Jogging activity recognition using the k-NN algorithm is a system that can help users collect information data of user speed movement using speed sensor and give the classification of jogging activity to the user. …”
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    Academic Exercise
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  2. 2
    Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad

    Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad by Ahmad, Khairul Adilah

    Published 2018
    “…This learning algorithm represents an automatic generation of membership functions and rules from the data. …”
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    Thesis
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  3. 3
    Transmission lines modeling based on vector fitting algorithm and RLC active/passive filter design

    Transmission lines modeling based on vector fitting algorithm and RLC active/passive filter design by Turki, Ahmed Qasim, Mailah, Nashiren Farzilah, Othman, Mohammad Lutfi, Sabry, Ahmad H.

    Published 2017
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  4. 4
    Decoding of visual activity patterns from fMRI responses using multivariate pattern analyses and convolutional neural network

    Decoding of visual activity patterns from fMRI responses using multivariate pattern analyses and convolutional neural network by Zafar, R., Kamel, N., Naufal, M., Malik, A.S., Dass, S.C., Ahmad, R.F., Abdullah, J.M., Reza, F.

    Published 2017
    “…In this study, an algorithm is developed using Multivariate pattern analysis (MVPA) and modified CNN to decode the behavior of brain for different images with limited data set. …”
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  5. 5
    Rough Neural Networks Architecture For Improving Generalization In Pattern Recognition

    Rough Neural Networks Architecture For Improving Generalization In Pattern Recognition by Ali Adlan, Hanan Hassan

    Published 2004
    “…A novel feature extraction algorithm was developed to extract the feature vectors. …”
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  6. 6
    FT-IR- based metabolomics approach to characterize the α-glucosidase inhibitory activity of Salak fruit

    FT-IR- based metabolomics approach to characterize the α-glucosidase inhibitory activity of Salak fruit by Saleh, Mohammed S M, Siddiqui, Mohammad Jamshed Ahmad, Mat So'ad, Siti Zaiton, Khatib, Alfi

    Published 2017
    “…Multivariate analysis with combination of orthogonal partial least-squares (OPLS) algorithm was used to correlate the α-glucosidase inhibitory activity of the samples with the infrared spectral data. …”
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    Proceeding Paper
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  7. 7
    Craniofacial surgery simulation using volumetric object representations

    Craniofacial surgery simulation using volumetric object representations by Rana, Mohammad Azam, Setan, Halim, Majid, Zulkepli, Chong, Albert K.

    Published 2006
    “…The surfaces of soft tissue and hard tissue have been extracted from CT data using Marching Cubes algorithm and are rendered with surface based methods. …”
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    Conference or Workshop Item
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  8. 8
    Correlation of FT-IR fingerprint and α-glucosidase inhibitory activity of Salak (Salacca zalacca) fruit extracts utilizing orthogonal partial least square

    Correlation of FT-IR fingerprint and α-glucosidase inhibitory activity of Salak (Salacca zalacca) fruit extracts utilizing orthogonal partial least square by Saleh, Mohammed S M, Siddiqui, Mohammad Jamshed Ahmad, Mat So'ad, Siti Zaiton, Roheem, Fatimah, Bes-Bes, Salima Saidi, Khatib, Alfi

    Published 2018
    “…Multivariate analysis with a combination of orthogonal partial least-squares (OPLS) algorithm was used to correlate the bioactivity of the samples with the FT-IR spectral data. …”
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  9. 9
    Forensic language of property theft genre based on mathematical formulae and machine learning algorithms / Hana' Abd Razak

    Forensic language of property theft genre based on mathematical formulae and machine learning algorithms / Hana' Abd Razak by Abd Razak, Hana'

    Published 2020
    “…Convolution Neural Network (CNN) using deep learning algorithm is chosen in identifying frequency of movement and execution time of housebreaking crime. …”
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  10. 10
    Prediction of fruit ripening by Artificial Neural Network based on relationship between pectin and image analysis / Aisyah Sakina Shahrin ... [et al.]

    Prediction of fruit ripening by Artificial Neural Network based on relationship between pectin and image analysis / Aisyah Sakina Shahrin ... [et al.] by Shahrin, Aisyah Sakina, Osman, Mohamed Syazwan, Ramli, Rafidah Aida, Setumin, Samsul, Senin, Syahrul Fitry

    Published 2020
    “…Thus, the solution to those limitations is Artificial Neural Network (ANN). The models used is MLP model with back-propagation algorithms with the help of learning function of Bayesian regularization and the transfer function is tangent hyperbolic. …”
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  11. 11
    Wavelet-Based Fractal Analysis of rs-fMRI for Classification of Alzheimer�s Disease

    Wavelet-Based Fractal Analysis of rs-fMRI for Classification of Alzheimer�s Disease by Sadiq, A., Yahya, N., Tang, T.B., Hashim, H., Naseem, I.

    Published 2022
    “…This problem can be solved by using a better representation of neuronal activities provided by the connectivity of nonfractal components. …”
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  12. 12
    Development of an Isolated Digit Speech Recognition Based on Multilayer Perceptron Model

    Development of an Isolated Digit Speech Recognition Based on Multilayer Perceptron Model by Mohamad Hussin, Ummu Salmah

    Published 2004
    “…A typical or fixed sigmoid function method is used in learning phase. In the recognition phase, an adaptive sigmoid function is employed. …”
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  13. 13
    Text Extraction Algorithm for Web Text Classification

    Text Extraction Algorithm for Web Text Classification by Theab, Mustafa Muwafak

    Published 2010
    “…A text extraction prototype is built using Visual C# 2008 to validate the algorithm. …”
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  14. 14
    Effort Estimation Model for Function Point Measurement

    Effort Estimation Model for Function Point Measurement by Koh, Tieng Wei

    Published 2007
    “…This research work has generated an algorithmic effort estimation model for function points measurement. …”
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  15. 15
    Automatic identification of epileptic seizures from EEG signals using sparse representation-based classification

    Automatic identification of epileptic seizures from EEG signals using sparse representation-based classification by Sobhan Sheykhivand, Tohid Yousefi Rezaii, Zohreh Mousavi, Azra Delpak, Ali Farzamnia

    Published 2020
    “…Compared to state-of-the-art algorithms and other common methods, our method outperformed them in terms of sensitivity, specificity, and accuracy. …”
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  16. 16
    An intelligent data mapping for hydrological information system (his) cube data base to cater from various data types

    An intelligent data mapping for hydrological information system (his) cube data base to cater from various data types by Selamat, Harihodin, Mohd. Rahim, Mohd. Shafry, Daman, Daut

    Published 2004
    “…The results show that prototype ˜EkstrakPro can extract different structure hydrology data correctly by using only one algorithm. …”
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    Monograph
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  17. 17
    Pengekstrakan data berasaskan pendekatan ontologi: kes data jujukan hidrologi

    Pengekstrakan data berasaskan pendekatan ontologi: kes data jujukan hidrologi by Abd. Hamid, Ahmad Ghadaffi

    Published 2005
    “…The results show that prototype ‘EkstrakPro’ can extract different structure hydrology data correctly by using only one algorithm. …”
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  18. 18
    Shunt active power filter using hybrid fuzzy-proportional and crisp-integral control algorithms for total harmonic distortion improvement

    Shunt active power filter using hybrid fuzzy-proportional and crisp-integral control algorithms for total harmonic distortion improvement by Abdul Rahman, Nor Farahaida

    Published 2016
    “…Utilization of soft-computing algorithms in the operation of Shunt Active Power Filters (SAPFs) becomes a latest trend. …”
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  19. 19
    Developing A Control Protocol Algorithm For Stimulating The Street Light System

    Developing A Control Protocol Algorithm For Stimulating The Street Light System by Wong, Kwo Yiang

    Published 2017
    “…Thus, smart protocol algorithm is developed to replace the previous system. …”
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    Monograph
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  20. 20
    Real time nonlinear filtered-x lms algorithm for active noise control

    Real time nonlinear filtered-x lms algorithm for active noise control by Sahib, Mouayad Abdulredha

    Published 2012
    “…The NLFXLMS algorithm is a stochastic gradient algorithm that incorporates the derivative of a nonlinear plant model which is represented by the scaled error function (SEF) in the controller design. …”
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