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  1. 1
    High Impedance Fault Detection on Power Distribution Feeder

    High Impedance Fault Detection on Power Distribution Feeder by Sulaiman , Marizan, Tawafan, Adnan, Ibrahim, Zulkifilie

    Published 2012
    “…Fast Fourier Transformation (FFT) is used to extract the feature of the fault signal and other power system events. …”
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  2. 2
    Fatigue data editing algorithm for automotive applications

    Fatigue data editing algorithm for automotive applications by Shahrum Abdullah, John R. Yates, Joseph A. Giacornin

    Published 2005
    “…This paper presents a wavelet based algorithm to summa rise a long record of fatigue signal by extracting the bumps (fatigue damaging events) to produce a bump signal. …”
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  3. 3
    Discovering decision algorithm of distance protective relay based on rough set theory and rule quality measure

    Discovering decision algorithm of distance protective relay based on rough set theory and rule quality measure by Othman, Mohamad Lutfi

    Published 2011
    “…The discovered decision algorithm and association rule from the Rough-Set based data mining had been compared with and successfully validated by those discovered using the benchmarking Decision-Tree based data mining strategy. …”
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  4. 4
    Detecting High Impedance Fault in Power Distribution Feeder with Fuzzy Subtractive Clustering Model

    Detecting High Impedance Fault in Power Distribution Feeder with Fuzzy Subtractive Clustering Model by Sulaiman , Marizan, Adnan, Tawafan, Ibrahim, Zulkifilie

    Published 2013
    “…The Fast Fourier Transformation (FFT) is used to extract the feature of the faulted signals and other power system events. …”
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  5. 5
    Broken Conductor Detection on Power Distribution Feeder

    Broken Conductor Detection on Power Distribution Feeder by Sulaiman , Marizan, Tawafan, Adnan, Ibrahim, Zulkifilie

    Published 2013
    “…The Fast Fourier Transformation (FFT) is used to extract the feature of the faulted signals and other power system events. …”
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  6. 6
    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
    “…The algorithm for HIF detection based on the amplitude ratio of second and odd harmonics to fundamental is presented. …”
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  7. 7
    Event Detection and Information Extraction Strategies from Text: A Preliminary Study Using GENIA Corpus

    Event Detection and Information Extraction Strategies from Text: A Preliminary Study Using GENIA Corpus by Abdullah, M.H.A., Aziz, N., Abdulkadir, S.J., Akhir, E.A.P., Talpur, N.

    Published 2023
    “…To perform this study, we have chosen the GENIA corpus for evaluating the performance of each model. These selected event extraction models are evaluated based on specific measures which are precision, recall, and F-1 measure. …”
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  8. 8
    Event Detection and Information Extraction Strategies from Text: A Preliminary Study Using GENIA Corpus

    Event Detection and Information Extraction Strategies from Text: A Preliminary Study Using GENIA Corpus by Abdullah, M.H.A., Aziz, N., Abdulkadir, S.J., Akhir, E.A.P., Talpur, N.

    Published 2023
    “…To perform this study, we have chosen the GENIA corpus for evaluating the performance of each model. These selected event extraction models are evaluated based on specific measures which are precision, recall, and F-1 measure. …”
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  9. 9
    Classification and detection of intelligent house resident activities using multiagent

    Classification and detection of intelligent house resident activities using multiagent by ,, Mohd. Marufuzzaman, M. B. I., Raez, M. A. M., Ali, Rahman, Labonnah F.

    Published 2013
    “…The intelligent home research requires understanding of the human behavior and recognizing patterns of activities of daily living (ADL).However instead of understand the psychosomatic nature of human early projects in this area simply employed intelligence to the household appliance.This paper proposed an algorithm for detecting ADL.The proposed method is based on two opposite state entity extraction.The method reflects on the common data flow of smart home event sequence.The developed algorithm clusters the smart home events by isolating opposite status of home appliance. …”
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  10. 10
    Sleep arousal events detection using PNN-GBMO classifier based on EEG and ECG signals: A hybrid-learning model

    Sleep arousal events detection using PNN-GBMO classifier based on EEG and ECG signals: A hybrid-learning model by Afsoon Badiei, Saeed Meshgini, Ali Farzamnia

    Published 2020
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  11. 11
    Walking gait event detection based on electromyography signals using artificial neural network

    Walking gait event detection based on electromyography signals using artificial neural network by Nazmi, Nurhazimah, Abdul Rahman, Mohd Azizi, Yamamoto, Shin Ichiroh, Ahmad, Siti Anom

    Published 2019
    “…By the end of this experiment, basing the examination of gait events with electromyography signals using artificial neural network is possible.…”
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  12. 12
    Selection and optimization of peak features for event-related eeg signals classification / Asrul bin Adam

    Selection and optimization of peak features for event-related eeg signals classification / Asrul bin Adam by Asrul, Adam

    Published 2017
    “…At first, a peak classification algorithm is developed based on the general following processes including peak candidate identification, feature extraction, and classification. …”
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  13. 13
    Modeling and simulation of the industrial numerical distance relay aimed at knowledge discovery in resident event reporting

    Modeling and simulation of the industrial numerical distance relay aimed at knowledge discovery in resident event reporting by Othman, Mohammad Lutfi, Aris, Ishak, Abdul Wahab, Noor Izzri

    Published 2014
    “…This is justified by the practicality and necessity of divulging the decision algorithm hidden in the recorded relay event report using computational intelligence-based data mining. …”
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  14. 14
    Analysis of artificial neural network and viola-jones algorithm based moving object detection

    Analysis of artificial neural network and viola-jones algorithm based moving object detection by Rashidan, M. Ariff, Mohd Mustafah, Yasir, Zainal Abidin, Zulkifli, Zainuddin, N. Afiqah, A. Aziz, Nor Nadirah

    Published 2014
    “…The utilization of cascade architecture to the extracted features, benefits the algorithm. The algorithms have been tested on simulated events, and the more suitable algorithm with high detection rate is expected to be presented in this paper.…”
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  15. 15
    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
    “…In the first part of the proposed algorithm, unique moments coefficients (features) are extracted using a new hybrid set of orthogonal polynomials which is derived based on the modified forms of Krawtchouk and a Tchebichef polynomials. …”
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  16. 16
    Ensemble averaging subspace-based approach for ERP extraction

    Ensemble averaging subspace-based approach for ERP extraction by Kamel, Nidal, Malik, Aamir, Jatoi, Munsif Ali

    Published 2013
    “…A novel approach based on Subspace methods is proposed for extracting the Event Related Potentials (ERPs) from the background Electroencephalograph (EEG) colored noise. …”
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  17. 17
    Priority hybrid and EEF uplink scheduling algorithm for IEEE 802.16E

    Priority hybrid and EEF uplink scheduling algorithm for IEEE 802.16E by Oad, Aneel

    Published 2013
    “…The acquired results have proven that the proposed algorithms have successfully enhanced the legacy hybrid and the deadline based algorithm.…”
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  18. 18
    Ensemble averaging subspace-based approach for ERP extraction

    Ensemble averaging subspace-based approach for ERP extraction by Kamel, Nidal, Malik, Aamir, Jatoi, Munsif Ali

    Published 2013
    “…A novel approach based on Subspace methods is proposed for extracting the Event Related Potentials (ERPs) from the background Electroencephalograph (EEG) colored noise. …”
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  19. 19
    MFCC based recognition of repetitions and prolongations in stuttered speech using k-NN and LDA

    MFCC based recognition of repetitions and prolongations in stuttered speech using k-NN and LDA by Lim, Sin Chee, Ooi, Chia Ai, Hariharan, Muthusamy, Sazali, Yaacob, Prof.

    Published 2010
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  20. 20
    Conventional and intelligent models for detection and prediction of fluid loss events during drilling operations: A comprehensive review

    Conventional and intelligent models for detection and prediction of fluid loss events during drilling operations: A comprehensive review by Krishna, S., Ridha, S., Vasant, P., Ilyas, S.U., Sophian, A.

    Published 2020
    “…Several theoretical studies have been performed to detect and predict fluid loss event during hydrocarbon extraction. This paper reviews the existing conventional and intelligent models developed for early detection and prediction of lost circulation events. …”
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