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    OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT by Murad S.S., Badeel R., Alsandi N.S.A., Alshaaya R.F., Ahmed R.A., Muhammed A., Derahman M.

    Published 2023
    “…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. The objectives of this work are: i) to provide a comprehensive review of the cloud and scheduling process; ii) to classify the scheduling strategies and scientific workflows; iii) to implement our proposed algorithm with various scheduling algorithms (i.e., Min-Min, Round-Robin, Max-Min, and Modified Max-Min) for performance comparison, within different cloudlet sizes (i.e., small, medium, large, and heavy) in three scientific workflows (i.e., Montage, Epigenomics, and SIPHT); and iv) to investigate the performance of the implemented algorithms by using CloudSim. …”
    Review
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    Batch mode heuristic approaches for efficient task scheduling in grid computing system by Maipan-Uku, Jamilu Yahaya

    Published 2016
    “…Many algorithms have been implemented to solve the grid scheduling problem. …”
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    Thesis
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    Multicolour object detection using multithreading by Saaidon, Nur'Ain, Sediono, Wahju

    Published 2015
    “…This paper presents the method of detecting multicolour objects and the processing time comparisons of designed algorithms. …”
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    Proceeding Paper
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    Methods of intrusion detection in information security incident detection: a comparative study by Tan, Fui Bee, Yau, Ti Dun, M. N. M., Kahar

    Published 2018
    “…These algorithms and methods provide fast and high rate of detection. …”
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    Conference or Workshop Item
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    Analysis Of Human Detection Method In Social Distancing Monitoring by Nur Aina Syafinaz, Muhamad Atfan

    Published 2022
    “…For future planning, datasets need to be around thousand images for the training process to make the detection accuracies increase. This study concludes that the use of current proposed object detection algorithms can be used to detect humans and the Euclidean distance method is successfully implemented together with the object detection algorithm…”
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    Undergraduates Project Papers
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    Real-Time Video Processing Using Native Programming on Android Platform by Saipullah, Khairul Muzzammil

    Published 2012
    “…The result shows that with native programming on Android platform, even a complicated object detection algorithm can be done in real-time.…”
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    Conference or Workshop Item
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    Reactive power imbalance method for islanding detection in micro-grid operation by Shamshiri, Meysam, Sapar, Ahmad Farid, Chin, Kim Gan, Tengga Daram, Revinnath, Ab Ghani, Mohd Ruddin

    Published 2014
    “…This paper presents and investigates the Reactive Power imbalance Method for islanding detection. The passive algorithm implements in this paper due to the low cost operation, however it got the higher non-detection zone (NDZ) and slower response time compare some active methods. …”
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    Article
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    Detection of in-car-abandoned children via deep learning algorithm / Mohd Farhan Mohd Pauzi by Mohd Pauzi, Mohd Farhan

    Published 2022
    “…This problem occurs due to lacking of existing system in detecting children image in a car. Therefore, this study aims to detect the existence of "in-car-abandoned children" using deep learning algorithm. …”
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    Thesis
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    Drone Based People Counter And Tracking Using Unique Id Using Opencv Python by Bhaskar, Hariyaran

    Published 2020
    “…This thesis provided a detailed method in implementing the algorithm for face and person recognition by using haar cascade classifier feature detection and contour approximation. …”
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    Monograph
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    Early detection and mitigation of DDoS attacks in software defined networks by Al-Saadi, Mustafa Yahya Zakariya

    Published 2018
    “…The algorithm was written in Python programming language to be implementing on a POX controller. …”
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    Thesis
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    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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    Conference or Workshop Item
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    Moving detection using cellular neural network (CNN) by Prema Latha, Subramaniam

    Published 2008
    “…In this paper, we proposed a simple and fast method to detect a moving object using Cellular Neural Network. …”
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    Undergraduates Project Papers