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  1. 1
    An ensemble learning method for spam email detection system based on metaheuristic algorithms

    An ensemble learning method for spam email detection system based on metaheuristic algorithms by Behjat, Amir Rajabi

    Published 2015
    “…Recently, various techniques based on different algorithms have been developed. However, the classification accuracy and computational cost are not satisfied. …”
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  2. 2
    Features selection for intrusion detection system using hybridize PSO-SVM

    Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

    Published 2016
    “…Electing the best set of features will help to improve the classifier predictions in terms of the normal and abnormal pattern. The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. …”
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  3. 3
    Adaptive glioblastoma detection using evolutionary-based algorithm / Nurul Amira Mohd Ali

    Adaptive glioblastoma detection using evolutionary-based algorithm / Nurul Amira Mohd Ali by Mohd Ali, Nurul Amira

    Published 2020
    “…The testing on adaptive glioblastoma detection produced 93.51% of average accuracy indicates the prototype produced a good glioblastoma segmentation result by using ABC algorithm. …”
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  4. 4
    Enhanced grey wolf optimisation algorithm for feature selection in anomaly detection

    Enhanced grey wolf optimisation algorithm for feature selection in anomaly detection by Almazini, Hussein

    Published 2022
    “…Modified Binary Grey Wolf Optimiser (MBGWO) is a modern metaheuristic algorithm that has successfully been used for FS for anomaly detection. …”
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  5. 5
    Comparison of supervised machine learning algorithms for malware detection / Mohd Faris Mohd Fuzi ... [et al.]

    Comparison of supervised machine learning algorithms for malware detection / Mohd Faris Mohd Fuzi ... [et al.] by Mohd Fuzi, Mohd Faris, Mohd Shahirudin, Syamir, Abd Halim, Iman Hazwam, Jamaluddin, Muhammad Nabil Fikri

    Published 2023
    “…Then, the percentage of detection accuracy was used to compare the detection performance of all five algorithms. …”
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  6. 6
    Fetal R-Wave detection in the ambulatory monitoring of maternal abdominal signal

    Fetal R-Wave detection in the ambulatory monitoring of maternal abdominal signal by Mohd Alauddin Mohd Ali, Crowe, J.A., Hayes-Gill, B.R.

    Published 1995
    “…The reliability of the R-wave detection is determined from information tagged to the measured R-R intervals indicating the signal condition at the time of detection. …”
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  7. 7
    Evaluation of different peak models of eye blink EEG for signal peak detection using artificial neural network

    Evaluation of different peak models of eye blink EEG for signal peak detection using artificial neural network by Adam, A., Ibrahim, Z., Mokhtar, N., Shapiai, M.I., Mubin, M.

    Published 2016
    “…One particular eye blink can be determined from use of peak points. Therefore, the purpose of peak detection algorithm is to distinguish an actual peak location from a list of peak candidates. …”
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  8. 8
    Extremal region detection and selection with fuzzy encoding for food recognition

    Extremal region detection and selection with fuzzy encoding for food recognition by Razali @ Ghazali, Mohd Norhisham

    Published 2019
    “…The first algorithm locates interest points in food images using an MSER. …”
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  9. 9
    Forgery detection in medical images using Complex Valued Neural Network (CVNN)

    Forgery detection in medical images using Complex Valued Neural Network (CVNN) by Olanrewaju, Rashidah Funke, Khalifa, Othman Omran, Hassan Abdalla Hashim, Aisha, Zeki, Akram M., Aburas, Abdurazzag Ali

    Published 2011
    “…The performance of the algorithm has been evaluated using mammogram images. …”
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  10. 10
    Cluster detection for spatio-temporal dengue cases at Selangor districts using multi-EigenSpot algorithm

    Cluster detection for spatio-temporal dengue cases at Selangor districts using multi-EigenSpot algorithm by Nor, N.H.M., Daud, H., Ullah, S.

    Published 2022
    “…This study aims to detect the spatio-temporal clustering or hotspot regions of dengue cases for the districts of Selangor, Malaysia using a nonparametric algorithm (Multi-EigenSpot) to detect dengue clusters. …”
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  11. 11
    Enhancing counterfeit tag detection for RFID system using slotted aloha

    Enhancing counterfeit tag detection for RFID system using slotted aloha by Musa, Yusuf

    Published 2021
    “…This indicates that highest detection accuracy, high throughput performance and lowest detection time (i.e., fast detection) can effectively be achieved by RMD algorithm. …”
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  12. 12
    Process fault detection and diagnosis using Boolean representation on fatty acid fractionation column

    Process fault detection and diagnosis using Boolean representation on fatty acid fractionation column by Othman, M. R., Ali, Mohamad Wijayanuddin, Kamsah, Mohd. Zaki

    Published 2003
    “…Through the proposed algorithm, various faults could be simulated and detected using the system. …”
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  13. 13
    Development of intrusion detection system using residual feedforward neural network algorithm

    Development of intrusion detection system using residual feedforward neural network algorithm by Rustam, Rushendra, Ramli, Kalamullah, Hayati, Nur, Ihsanto, Eko, Gunawan, Teddy Surya, Halbouni, Asmaa Hani

    Published 2022
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  14. 14
    Earthquake multi-classification detection based velocity and displacement data filtering using machine learning algorithms

    Earthquake multi-classification detection based velocity and displacement data filtering using machine learning algorithms by Murti M.A., Junior R., Ahmed A.N., Elshafie A.

    Published 2023
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  15. 15
    Drowsy driver detection using Viola-Jones Algorithm / Wan Nurul Adlina Wan Sallehuddin ... [et al.]

    Drowsy driver detection using Viola-Jones Algorithm / Wan Nurul Adlina Wan Sallehuddin ... [et al.] by Wan Sallehuddin, Wan Nurul Adlina, Mohamed Hatim, Shahirah, Zulkifli, Zalikha, Mohamad Ali, Razizul

    Published 2021
    “…Viola-Jones algorithm is used to detect driver’s face and eyes in real time. …”
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  16. 16
    Pothole detection using UAV with deep learning algorithm for road inspection

    Pothole detection using UAV with deep learning algorithm for road inspection by Abdul Sukor, Nur Sabrina Irwayu, Hashim, Khairil Afendy, Dahlan, Zaki Ahmad

    Published 2024
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  17. 17
    Weighting method for modal parameter based damage detection algorithms

    Weighting method for modal parameter based damage detection algorithms by Fayyadh, M.M., Abdul Razak, H.

    Published 2011
    “…When researchers use bending modes for the purpose of damage detection, a number of available modes are adopted, each of which return a value indicating the severity of damage. …”
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  18. 18
    Evaluation Of Different Peak Models Of Eye Blink Eeg For Signal Peak Detection Using Artificial Neural Network

    Evaluation Of Different Peak Models Of Eye Blink Eeg For Signal Peak Detection Using Artificial Neural Network by Asrul, Adam, Zuwairie, Ibrahim, Mohd Ibrahim, Shapiai, Marizan, Mubin

    Published 2016
    “…One particular eye blink can be determined from use of peak points. Therefore, the purpose of peak detection algorithm is to distinguish an actual peak location from a list of peak candidates. …”
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  19. 19
    HUMAN MOTION ANALYSIS IN VIDEO SURVEILLANCE SYSTEM

    HUMAN MOTION ANALYSIS IN VIDEO SURVEILLANCE SYSTEM by LO , TIMOTHY YIN HONG

    Published 2019
    “…The effect of video quality on human detection rate is discussed in Chapter 4. In a human detection, the software is represented by algorithms, in which algorithm also being used in the process of training the dataset. …”
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  20. 20
    Glass break detection system using deep auto encoders with fuzzy rules induction algorithm

    Glass break detection system using deep auto encoders with fuzzy rules induction algorithm by Nyein Naing, Wai Yan, Htike, Zaw Zaw

    Published 2019
    “…The algorithm reduces false alarms and improves detection accuracy. …”
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