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  1. 1
    Real time power quality event detection using continuous wavelet transform

    Real time power quality event detection using continuous wavelet transform by Tan R.H.G., Ramachandaramurthy V.K.

    Published 2023
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  2. 2
    Leveraging Web Scraping in Predictive Modelling of Supply Risk Detection

    Leveraging Web Scraping in Predictive Modelling of Supply Risk Detection by Ng, Shi Ya

    Published 2022
    “…For these purposes, a web scraping program is developed to identify the supply risks caused by these temporary events. It is a low-cost solution for the temporary events to be evaluated so that the risks can be detected in real-time for better decision-making. …”
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    Final Year Project Report / IMRAD
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  3. 3
    Test Data Generation for Event Driven System Using Bees Algorithm

    Test Data Generation for Event Driven System Using Bees Algorithm by Mohammed Zabil, Mohd H., Kamal Z., Zamli

    Published 2013
    “…For an event driven system, the order of the event sequence should also be tested to detect failure in any possible sequences of the event. …”
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    Conference or Workshop Item
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  4. 4
    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
    “…Detecting the change in sleep stages is a complex process and requires the expertise of a neurologist. …”
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  5. 5
    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
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  6. 6
    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 Support Vector Machine (SVM) classifier is trained to detect transitions. Specifically, the HTs are detected by the trained SVM model and then refined to eliminate the false-alarm events. …”
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    Thesis
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  7. 7
    Partitioning detection and connectivity restoration algorithm for WSAN

    Partitioning detection and connectivity restoration algorithm for WSAN by Muhammad, Imran, Md Said, Abas, Hasbullah, Halabi, Younis, Mohammed

    Published 2010
    “…A backup actor detects the failure and initiates a recovery process that may involve coordinated multi-actor relocation. …”
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  8. 8
    Partitioning Detection and Connectivity Restoration Algorithm for Wireless Sensor Actor Networks

    Partitioning Detection and Connectivity Restoration Algorithm for Wireless Sensor Actor Networks by Imran, Muhammad, Younis, Mohamed, Md Said, Abas, Hasbullah, Halabi

    Published 2010
    “…A backup actor detects the failure and initiates a recovery process that may involve coordinated multi-actor relocation. …”
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  9. 9
    Behaviour Analysis Among Adolescents And Children For Cyberbullying Based On Twitter And Kaggle Dataset

    Behaviour Analysis Among Adolescents And Children For Cyberbullying Based On Twitter And Kaggle Dataset by Afiefah Hannani, Abdul Halim

    Published 2023
    “…The purpose of this study is to see the accuracy of the algorithms and compare it. The highest algorithm will be chosen as the best model and algorithm that can be used to detect cyberbullying tweet text.…”
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    Undergraduates Project Papers
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  10. 10
    Abnormal event detection in video surveillance / Lim Mei Kuan

    Abnormal event detection in video surveillance / Lim Mei Kuan by Lim, Mei Kuan

    Published 2014
    “…The third contribution aims to provide an integrated solution to detect multiple events in different regions-of-interest of a given scene. …”
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  11. 11
    Analysing machine learning models to detect disaster events using social media

    Analysing machine learning models to detect disaster events using social media by Faris Azni Azlan, Mr.

    Published 2023
    text::Thesis
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  12. 12
    Development of a wearable human fall detection system

    Development of a wearable human fall detection system by Chua, Kean Hong, Sai, Siong Jun, Chan, Chi Yen, Kamsani, Noor Ain, Che Soh, Azura, Raja Ahmad, Raja Mohd Kamil

    Published 2022
    “…The accuracy of the fall detection algorithm was determined to be at 98.41%. …”
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  13. 13
    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
    “…Similarly, for event detection, the DeepEventMine model has scored highest among other models with a precision of 65.24, recall at 55.93, and F-1 measure at 60.23 based on the selected corpus. …”
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  14. 14
    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
    “…Similarly, for event detection, the DeepEventMine model has scored highest among other models with a precision of 65.24, recall at 55.93, and F-1 measure at 60.23 based on the selected corpus. …”
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  15. 15
    P300 detection of brain signals using a combination of wavelet transform techniques

    P300 detection of brain signals using a combination of wavelet transform techniques by Motlagh, Farid Esmaeili

    Published 2012
    “…By reduction of recording EEG channels in the single trial based algorithms, the processing time of P300 detection decrease dramatically. …”
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    Thesis
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  16. 16
    Red tide detection using remotely sensed data: A case study of Sabah, Malaysia

    Red tide detection using remotely sensed data: A case study of Sabah, Malaysia by Asmala Ahmad, Noorazuan Hashim, Laili Nordin

    Published 2009
    “…This article examines the use of the RT image-processing algorithm through SPOT 4 satellite data application in detecting toxic blooms which occurred on February 2000. …”
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  17. 17
    A novel islanding detection technique using modified Slantlet transform in multi-distributed generation

    A novel islanding detection technique using modified Slantlet transform in multi-distributed generation by Hizam, Hashim, Ahmadipour, Masoud, Mohd Radzi, Mohd Amran, Othman, Mohammad Lutfi, Chireh, Nikta

    Published 2019
    “…Slantlet transform is utilized to derive the features in the required detection parameters measured from islanding and non-islanding events using identified Slantlet scales. …”
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  18. 18
    Advance video analysis system and its applications

    Advance video analysis system and its applications by Ali, Md. Hazrat, Shafie, Amir Akramin, Hafiz, Fadhlan, Mat Ali, Roslizar

    Published 2010
    “…Among the main features of this research some are, Event Id, Video Id, and Human Id which give detail information about the events, videos and other tracked objects. …”
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  19. 19
    Friendship Degree and Tenth Man Strategy: A new method for differentiating between erroneous readings and true events in wireless sensor networks

    Friendship Degree and Tenth Man Strategy: A new method for differentiating between erroneous readings and true events in wireless sensor networks by Adday, Ghaihab Hassan, Subramaniam, Shamala K., Zukarnain, Zuriati Ahmad, Samian, Normalia

    Published 2023
    “…The results were compared to the baseline algorithm, highlighting key parameters like false alarms and event detection accuracy. …”
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  20. 20
    Prioritizing event sequences test cases based on faults

    Prioritizing event sequences test cases based on faults by Baharom, Salmi, Ahmad, Johanna, Zulzalil, Hazura, Din, Jamilah, Abd Ghani, Abdul Azim

    Published 2018
    “…In this paper, the researchers proposed a prioritization algorithm for the event sequences test cases based on faults. …”
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