Search Results - (( brain computer assisted algorithm ) OR ( java adaptation optimization algorithm ))

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  1. 1

    Extended development of a Computer Aided Detection (CAD) system for brain bleed in CT / Muhammad Illyas Abdul Muhji by Muhammad Illyas, Abdul Muhji

    Published 2018
    “…The new develop algorithm is set to register image of brain patient in order to determine the rotation angle for brain realignment. …”
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    Thesis
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    Classification of Brain Hemorrhage using Textural Analysis by Duran, Frenchlyn Maglinao

    Published 2015
    “…In order to assist in fast diagnosis of brain hemorrhage, computer-aided diagnosis have been developed in recent years. …”
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    Final Year Project
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    Recent Trends and Open Challenges in EEG based Brain-Computer Interface Systems by Rashid, Mamunur, Norizam, Sulaiman, Mahfuzah, Mustafa, Sabira, Khatun, Bari, Bifta Sama, Hasan, Md Jahid

    Published 2019
    “…Recent advances in computer hardware and signal processing have made possible the use of electroencephalogram (EEG) for communication between human brain and computers and this technology is known as brain-computer interface (BCI). …”
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    Conference or Workshop Item
  8. 8

    An improved diagnostic algorithm based on deep learning for ischemic stroke detection in posterior fossa by Muhd Suberi, Anis Azwani

    Published 2020
    “…Ischemic stroke is triggered by an obstruction in the blood vessel of the brain, preventing the blood to flow to the brain tissues region. …”
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    Thesis
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    Electroencephalogram signal interpretation system for mobile robot by Hasan, Intan Helina

    Published 2013
    “…In recent years, Brain-Computer Interface (BCI) research has provoked an enormous interest among researchers from different fields since it is an important element in assistive technology. …”
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    Thesis
  11. 11

    Wink based facial expression classification using machine learning approach by Rashid, Mamunur, Norizam, Sulaiman, Mahfuzah, Mustafa, Bari, Bifta Sama, Sadeque, Md Golam, Hasan, Md Jahid

    Published 2020
    “…Fast Fourier transform and the sample range have been computed to extract the features. The extracted features have been classified with the help of different machine learning algorithms. …”
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    Article
  12. 12

    Multivariate EEG signal processing techniques for the aid of severely disabled people by Ibrahimy, Muhammad Ibn, Ibrahimy, Ahmad Ibn

    Published 2022
    “…However, the performance of Brain Computer Interface (BCI) using EEG signal is still below enough to assist any disabled people. …”
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    Article
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    Detection of Yawning and Eye Closure for Monitoring Driver’s Drowsiness by Qan, Khai Mun

    Published 2020
    “…By utilising cloud services, computational expenses for executing the image processing algorithms on the mobile device can be minimised. …”
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    Final Year Project Report / IMRAD
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    Identifying the mechanism to forecast the progression of Alzheimer’s disease from mild cognitive impairment using deep learning by Hiu, Theresa Wei Xin

    Published 2022
    “…CNN models and visualization of the brain regions which contributed to the CNN prediction assist doctors in the diagnosis of MCI conversion and the discovery of new biomarkers.…”
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    Final Year Project / Dissertation / Thesis
  16. 16

    Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions by Saraswati, Galuh Wilujeng

    Published 2017
    “…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
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    Thesis
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    The classification of EEG signal processing using different machine learning techniques for BCI application by Rashid, Mamunur, Norizam, Sulaiman, Mahfuzah, Mustafa, Sabira, Khatun, Bari, Bifta Sama

    Published 2019
    “…Brain-Computer Interface (BCI) or Human-Machine Interface is now becoming vital in biomedical engineering and technology field which applying EEG technologies to provide assistive device technology (AT) to humans. …”
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    Conference or Workshop Item
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    Validation of deep convolutional neural network for age estimation in children using mandibular premolars on digital panoramic dental imaging / Norhasmira Mohammad by Mohammad, Norhasmira

    Published 2022
    “…The semi-automated dental staging system developed in this study is based on the Malay children’s population and uses a brain-inspired learning algorithm termed "deep learning". …”
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    Thesis