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  1. 1

    System identification using Extended Kalman Filter by Alias, Ahmad Hafizi

    Published 2017
    “…System identification is getting more intensive from researcher to develop an algorithm with work efficiently and more accurate. …”
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    Student Project
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    Improving performance of automated coronary arterial tree center-line extraction, stent localization and tracking by Boroujeni, Farsad Zamani

    Published 2012
    “…Over the last decade, many algorithms have been developed to address this problem. …”
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    Thesis
  4. 4

    Facial Drowsiness Signs Detection Algorithm Using Image Processing Techniques For Various Lighting Condition by Yuri, Nur Fatin Izzati

    Published 2017
    “…The performance of the algorithm is validated by using the developed database under four luminance intensities and achieved promising results. …”
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    Thesis
  5. 5

    Implementation of convolutional neural network (CNN) algorithm for autonomous robot / Tiara Kusuma Dewi ... [et al.] by Dewi, Tiara Kusuma, Saptaji, Kushendarsyah, Simarmata, Adven, Fikri, Muhamad Rausyan

    Published 2024
    “…In Indonesia, the development of autonomous robots has emerged intensively since the last coronavirus pandemic, especially the autonomous UV disinfection (A-UV) robot. …”
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    Article
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    Stiffness reduction index for detection of damage location: Analytical study by Fayyadh, M.M., Razak, H.A.

    Published 2011
    “…The results obtained from this study revealed higher and better sensitivity of the developed index to detect a low damage intensity and at different locations along the length of the beam. …”
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    Article
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    Sauvola Segmentation and Support Vector Machine-Salp Swarm Algorithm Approach for Identifying Nutrient Deficiencies in Citrus Reticulata Leaves by Lia, Kamelia

    Published 2024
    “…Traditional methods often rely on expert visual assessments, which are labour-intensive, subjective, and time-consuming. The proposed method integrates colour and texture feature-based image analysis with machine learning algorithms for classification. …”
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    Thesis
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    Fog-cloud scheduling simulator for reinforcement learning algorithms by Al-Hashimi, Mustafa Ahmed Adnan, Rahiman, Amir Rizaan, Muhammed, Abdullah, Hamid, Nor Asilah Wati

    Published 2023
    “…This study presents a developed simulator that captures all mentioned realistic scenarios by providing the feature of integrability with the reinforcement learning (RL) algorithm. …”
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    Article
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    Automatic localization of the left ventricular blood pool centroid in short axis cardiac cine MR images by Tan, Li Kuo, Liew, Yih Miin, Lim, Einly, Abdul Aziz, Yang Faridah, Chee, Kok Han, McLaughlin, Robert A.

    Published 2018
    “…In this paper, we develop and validate an open source, fully automatic algorithm to localize the left ventricular (LV) blood pool centroid in short axis cardiac cine MR images, enabling follow-on automated LV segmentation algorithms. …”
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    Article
  16. 16

    Optimisation model for scheduling MapReduce jobs in big data processing / Ibrahim Abaker Targio Hashem by Ibrahim Abaker , Targio Hashem

    Published 2017
    “…The proposed algorithm is evaluated using tasks scheduling in the scheduling load simulator and validated using statistical modeling. …”
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    Thesis
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    Brain tumor image segmentation using deep learning approach by Darshan, Suresh

    Published 2022
    “…In addition, the existing software for brain tumor segmentation are implemented using conventional image segmentation algorithms which are labor intensive and causes over or under segmented tumor regions. …”
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    Final Year Project / Dissertation / Thesis
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    Hybrid Artificial Bees Colony algorithms for optimizing carbon nanotubes characteristics by Mohammad Jarrah, Mu'ath Ibrahim

    Published 2018
    “…Optimization is a crucial process to select the best parameters in single and multi-objective problems for manufacturing process.However,it is difficult to find an optimization algorithm that obtain the global optimum for every optimization problem.Artificial Bees Colony (ABC) is a well-known swarm intelligence algorithm in solving optimization problems.It has noticeably shown better performance compared to the state-of-art algorithms.This study proposes a novel hybrid ABC algorithm with β-Hill Climbing (βHC) technique (ABC-βHC) in order to enhance the exploitation and exploration process of the ABC in optimizing carbon nanotubes (CNTs) characteristics.CNTs are widely used in electronic and mechanical products due to its fascinating material with extraordinary mechanical,thermal,physical and electrical properties. …”
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    Thesis
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    Quality of service management algorithms in WiMAX networks by Saidu, Ibrahim

    Published 2015
    “…Simulation have been extensively used to evaluate the proposed algorithm. Finally, Discrete Event Simulator (DES) is designed and developed in order to evaluate the performance of the proposed algorithms. …”
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    Thesis