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    Detection and Classification of Moving Objects for an Automated Surveillance System by Md. Tomari, Mohd Razali

    Published 2006
    “…A completely automated system means a computer will perform the entire task from low level detection to higher level motion analysis. …”
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    Thesis
  3. 3

    Detection and classification of moving objects for an automated surveillance system by Md Tomari, Mohd Razali

    Published 2006
    “…A completely automated system means a computer will perforin the entire task from low level detection to higher level motion analysis. …”
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    Thesis
  4. 4

    Development of an automated detector and counter for bagworm census by Ahmad, Mohd Najib

    Published 2020
    “…A precise bagworm monitoring system is required to overcome recurrence of an outbreak. …”
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    Thesis
  5. 5

    Early Detection Of ADHD Among Children Using Machine Learning by Nur Atiqah, Kamal

    Published 2023
    “…This abstract explores the significance of early ADHD detection, the potential of fMRI for ADHD diagnosis, and the role of machine learning in facilitating early identification. …”
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    Undergraduates Project Papers
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    Detection and classification of moving objects for an automated surveillance system by Md Tomari, Mohd Razali

    Published 2006
    “…A completely automated system means a computer will perforin the entire task from low level detection to higher level motion analysis. …”
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    Thesis
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    AI-Enabled Deep Learning Model for COVID-19 Identification Leveraging Internet of Things by Mohd Arfian, Ismail, Siti Nur Fathin Najwa, Mustaffa, Abed, Munther H.

    Published 2023
    “…This work highlights the significance of leveraging deep transfer learning and IoT in achieving early identification of suspected COVID-19 patients. …”
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    Article
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    Obstacle Detection And Avoidance System by Yew, Chang Chern

    Published 2018
    “…The obstacle detection and avoidance system is being researched to study its application in automated machine. …”
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    Monograph
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    Bar Code Detection Using Omnidirectional Vision for Automated Guided Vehicle Navigation by Zahari, Taha, Jessnor Arif, Mat Jizat, Ismayuzri, Ishak

    Published 2012
    “…In this paper, a study on detectability and readability of barcodes using omnidirectional vision system for automated guided vehicle is presented. …”
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    Conference or Workshop Item
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    Methods for identification of the opportunistic gut mycobiome from colorectal adenocarcinoma biopsy tissues by Aisyah, Yunus, Norfilza, Mohd Mokhtar, Raja Affendi, Raja Ali *, Siti Maryam, Ahmad Kendong, Hajar, Fauzan Ahmad

    Published 2024
    “…•Application of machine learning algorithms to the identification of potential mycobiome biomarkers for non-invasive colorectal cancer screening. …”
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    Article
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    Analysis of banana plant health using machine learning techniques by Thiagarajan, Joshva Devadas, Kulkarni, Siddharaj Vitthal, Jadhav, Shreyas Anil, Waghe, Ayush Ashish, Raja, S.P., Rajagopal, Sivakumar, Poddar, Harshit, Subramaniam, Shamala

    Published 2024
    “…Automated systems that integrate machine learning and deep learning algorithms have proven to be effective in predicting diseases. …”
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    Article
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    Video surveillance: Front-yard monitoring by Low, Bryan Keng Seong

    Published 2023
    “…This project aims to deliver an automated front-yard intrusion system. It addresses the significant issues of CCTVs and motion sensors by removing the need for manual video monitoring and reducing false positive cases. …”
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    Final Year Project / Dissertation / Thesis
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    Improved abnormal detection using self-adaptive social force model for visual surveillance by Wan Nur Azhani, W. Samsudin

    Published 2017
    “…The automated surveillance system is a system that monitors the behavior and activities of the crowd whether it is normal or not. …”
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    Thesis
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    Predictive Modelling of Stroke Occurrence among Patients using Machine Learning by Sures, Narayasamy, Thilagamalar, Maniam

    Published 2023
    “…Early identification of high-risk patients enables timely intervention and implementation of preventive measures, potentially reducing the burden of stroke-related complications. …”
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    Article
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    Deep learning-based colorectal cancer classification using augmented and normalised gut microbiome data / Mwenge Mulenga by Mwenge , Mulenga

    Published 2022
    “…While the complex relations that exist between the microbiome and host phenotypes make machine learning algorithms suitable for analysing the microbiome data, deep learning methods are becoming more popular due to their outstanding performance in related fields. …”
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    Thesis