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  1. 1
    An Evolutionary Stream Clustering Technique for Outlier Detection

    An Evolutionary Stream Clustering Technique for Outlier Detection by Supardi, N.A., Abdulkadir, S.J., Aziz, N.

    Published 2020
    “…Later, this algorithm will be extended to optimize the model in detecting outlier on data streams. …”
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  2. 2
    Optimizing high-density aquaculture rotifer Detection using deep learning algorithm

    Optimizing high-density aquaculture rotifer Detection using deep learning algorithm by Alixson Polumpung, Kit Guan Lim, Min Keng Tan, Sitti Raehanah Muhamad Shaleh, Renee Ka Yin Chin, Kenneth Teo Tze Kin

    Published 2022
    “…Detected rotifer will be counted for estimating the amount of rotifer for feeding or the density population in a rotifer culture. …”
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  3. 3
    Fault detection and diagnosis for gas density monitoring using multivariate statistical process control

    Fault detection and diagnosis for gas density monitoring using multivariate statistical process control by Norul Shahida, Che Din, Noor Asma Fazli, Abdul Samad, Chin, Sim Yee

    Published 2011
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  4. 4
    Automatic filtering of far outliers in multibeam echo sounding dataset using robust detection algorithms

    Automatic filtering of far outliers in multibeam echo sounding dataset using robust detection algorithms by Mahmud, Mohd. Razali, Mohd. Yusof, Othman

    Published 2005
    “…A remarkable result can be achieved by filtering these far outliers using automatic detection mode. This paper elaborates the techniques used for the detection and elimination of the far outliers in the MBES dataset, known as robust detection algorithms. …”
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  5. 5
    Power line corridor vegetation encroachment detection from satellite images using retinanet and support vector machine

    Power line corridor vegetation encroachment detection from satellite images using retinanet and support vector machine by Fathi Mahdi Elsiddig Haroun, Mr.

    Published 2023
    “…The SVM algorithm has been used to detect high- and low-density vegetation regions from the extracted ROI. …”
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  6. 6
    Automatic paddy planthopper detection and counting using faster R-CNN

    Automatic paddy planthopper detection and counting using faster R-CNN by Khairunniza-Bejo, Siti, Ibrahim, Mohd Firdaus, Hanafi, Marsyita, Jahari, Mahirah, Ahmad Saad, Fathinul Syahir, Mhd Bookeri, Mohammad Aufa

    Published 2024
    “…Therefore, this research presents a comprehensive assessment of an object detection algorithm specifically developed to precisely detect and quantify planthoppers. …”
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  7. 7
    March-based diagnosis algorithm for static random-access memory stuck-at faults and transition faults

    March-based diagnosis algorithm for static random-access memory stuck-at faults and transition faults by Mat Isa, Masnita

    Published 2012
    “…Results obtained from simulation validate the generated fault syndromes thus confirmed the ability of this algorithm to detect and distinguish between SAFs and TFs. …”
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  8. 8
    Void avoidance opportunistic routing density rank based for underwater sensor networks

    Void avoidance opportunistic routing density rank based for underwater sensor networks by Ismail, Nasarudin

    Published 2021
    “…Finally, the algorithm Void Avoidance Opportunistic Routing Density Rank Based (ORDRB) was developed to deal with the communication void by introducing a simple method to detect a void node and avoid it during the forwarding process. …”
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  9. 9
    Automated density and growth estimation in precision aquaculture systems for prawn cultivation using computer vision techniques

    Automated density and growth estimation in precision aquaculture systems for prawn cultivation using computer vision techniques by Chong, Xiao Wei

    Published 2024
    “…By employing the state-of-the-art You Only Look Once (YOLO) v7 object detection algorithm, the project aims to develop a system capable of accurately detecting and classifying prawns based on their growth stages. …”
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    Final Year Project / Dissertation / Thesis
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  10. 10
    The Potential of High Density Scanner Technique for Terrestrial Surface Displacement Studies in Malaysia

    The Potential of High Density Scanner Technique for Terrestrial Surface Displacement Studies in Malaysia

    Published 2009
    “…High Density Scanner, as a technology, has gone through an impressive development phase. …”
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  11. 11
    Detection and Monitoring of Power Line Corridor from Satellite Imagery Using RetinaNet and K-Mean Clustering

    Detection and Monitoring of Power Line Corridor from Satellite Imagery Using RetinaNet and K-Mean Clustering by Haroun F.M.E., Deros S.N.M., Din N.M.

    Published 2023
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  12. 12
    Development of a detection and classification method for induction motor faults using Motor Current Signature Analysis and Feedforward Neural Network / Felicity Bulan Leo Uchat

    Development of a detection and classification method for induction motor faults using Motor Current Signature Analysis and Feedforward Neural Network / Felicity Bulan Leo Uchat by Leo Uchat, Felicity Bulan

    Published 2016
    “…As it is important to choose proper training algorithm for training the FNN, therefore three different FNN training algorithms are compared in terms of their accuracy, number of iterations and training time.…”
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  13. 13
    DESIGN OF SMART TRAFFIC LIGHT SYSTEM BASED ON INTERNET OF THINGS

    DESIGN OF SMART TRAFFIC LIGHT SYSTEM BASED ON INTERNET OF THINGS by MUHAMMAD AMIR AFIQ, MOHAMED

    Published 2018
    “…The data is gathered and send to the microcontroller which process the data and produce the output for the flow of the traffic light according density of the traffic at each lane. Density of the traffic is calculated by the algorithm that have various variables. …”
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    Final Year Project Report / IMRAD
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  14. 14
    Towards lowering computational power in IoT systems: Clustering algorithm for high-dimensional data stream using entropy window reduction

    Towards lowering computational power in IoT systems: Clustering algorithm for high-dimensional data stream using entropy window reduction by Alkawsi G., Al-amri R., Baashar Y., Ghorashi S., Alabdulkreem E., Kiong Tiong S.

    Published 2024
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  15. 15
    Outlier Detection Technique in Data Mining: A Research Perspective

    Outlier Detection Technique in Data Mining: A Research Perspective by Mansur, M. O., Md. Sap, Mohd. Noor

    Published 2005
    “…Most methods in the early work that detects outliers independently have been developed in field of Statistics. …”
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  16. 16
    Revolutionizing Perimeter Intrusion Detection: A Machine Learning-Driven Approach with Curated Dataset Generation for Enhanced Security

    Revolutionizing Perimeter Intrusion Detection: A Machine Learning-Driven Approach with Curated Dataset Generation for Enhanced Security by Pitafi, S., Anwar, T., Dewa Made Widia, I., Yimwadsana, B.

    Published 2023
    “…From there we got the motivation to improve the algorithm and applied it to two-dimensional data. The existing DBSCAN is not efficient due to its high complexity and the varying densities. …”
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  17. 17
    Early prediction of dengue outbreak using Artificial Neural Network (ANN) / Muhammad Sirajuddin Ismail

    Early prediction of dengue outbreak using Artificial Neural Network (ANN) / Muhammad Sirajuddin Ismail by Ismail, Muhammad Sirajuddin

    Published 2024
    “…The objective is to develop Dengue Outbreak Prediction System using Artificial Neural Network algorithm and evaluate its performance. …”
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  18. 18
    Reduced Galloping Column Algorithm For Memory Testing

    Reduced Galloping Column Algorithm For Memory Testing by Ngieng , Siew Ching

    Published 2015
    “…The GalCol algorithm test is important to detect unique coupling and transition faults. …”
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  19. 19
    The effect of different crossing angles on similarity and stability of target spectra in forward scattering micro radar (FSMR) using graphical user interface (GUI) / Hanis Adiba Mohamad

    The effect of different crossing angles on similarity and stability of target spectra in forward scattering micro radar (FSMR) using graphical user interface (GUI) / Hanis Adiba Mo... by Mohamad, Hanis Adiba

    Published 2012
    “…This makes FSMR an interesting topic to learn about. The algorithm is developed based on Fourier transform for features transformation from time domain signal to power spectrum density. …”
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  20. 20
    Design And Implementation Of Human Crowd Density Estimation System With Energy Harvesting In Wireless Sensor Network Platform

    Design And Implementation Of Human Crowd Density Estimation System With Energy Harvesting In Wireless Sensor Network Platform by Fadhlullah, Solahuddin Yusuf

    Published 2017
    “…These factors are then integrated into the proposed H-CDE algorithm. The H-CDE algorithm and its crowd classification yielded an average of 71.2 % accuracy in identifying the level of crowd density, which is the best compared to other algorithms found in the literature. …”
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