Search Results - (( java code classification algorithm ) OR ( brain computer support algorithm ))

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  1. 1

    Object-Oriented Programming semantics representation utilizing agents by Mohd Aris, Teh Noranis

    Published 2011
    “…A formal algorithm that can be applied to any two related Java-based source codes examples is invented to generate the semantics of these source codes. …”
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    Article
  2. 2

    Detection of eye movements based on EEG signals and the SAX algorithm by Shanmuga, P. M. M., Lau, Sian Lun *, Jou, Chichang.

    Published 2018
    “…In this paper, we propose the Brain-Computer Interface (BCI) approach as a potential technique. …”
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    Conference or Workshop Item
  3. 3

    Development Of Machine Learning User Interface For Pump Diagnostics by Lee, Zhao Yang

    Published 2022
    “…Build up a user interface by using Visual Studio Code (VSC) to run the coding of Cascading Style Sheet (CSS), Hyper Text Markup Language (HTML) and JavaScript (JS) as a webpage and connect to Azure Machine Learning Model and this will allow the user from using the model from a webpage when they have active internet with any devices.…”
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    Monograph
  4. 4

    Electroencephalogram-based decoding cognitive states using convolutional neural network and likelihood ratio based score fusion by Zafar, R., Dass, S.C., Malik, A.S.

    Published 2017
    “…However, EEG is an important technique, especially for brain-computer interface applications. In this study, a novel algorithm is proposed to decode brain activity associated with different types of images. …”
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    Article
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    Decoding of visual activity patterns from fMRI responses using multivariate pattern analyses and convolutional neural network by Zafar, R., Kamel, N., Naufal, M., Malik, A.S., Dass, S.C., Ahmad, R.F., Abdullah, J.M., Reza, F.

    Published 2017
    “…MVPA uses machine learning algorithms to classify different brain states and helps in prediction during the task. …”
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    Article
  6. 6

    P300 detection of brain signals using a combination of wavelet transform techniques by Motlagh, Farid Esmaeili

    Published 2012
    “…Wavelet transform (WT), student’s two-sample t-statistic (T-Test) and support vector machines (SVM) used in designing the algorithms. …”
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    Thesis
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    Optimization of least squares support vector machine technique using genetic algorithm for electroencephalogram multi-dimensional signals by Ahmad, Farzana Kabir, Al-Qammaz, Abdullah Yousef Awwad, Yusof, Yuhanis

    Published 2016
    “…Human-computer intelligent interaction (HCII) is a rising field of science that aims to refine and enhance the interaction between computer and human. …”
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    Article
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    Classification of Healthy Condition and Depression using functional Near Infrared Spectroscopy (fNIRS) by Mohd, Murni Athirah

    Published 2018
    “…In this study, fNIRS has been chosen as a neuroimaging modality to establish a new biomarker for Brain-Computer Interface (BCI). The aim of this project is to investigate if fNIRS showing the haemodynamic of brain activity can help distinguish the condition of the individual either healthy condition and depression. …”
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    Final Year Project
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    Prediction of Alzheimer disease using improved MMSE ensemble regressor based on magnetic resonance images by Farzan, Ali

    Published 2015
    “…Nowadays, it is obvious that onset of the disease can be even decades before manifestation of the symptoms and it can be revealed by investigating the brain structures. Early prognosing of Alzheimer’s disease by analyzing brain MR images and inspecting effect of it on brain structures is a hard task. …”
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    Thesis
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    Evaluating the effectiveness of time-domain features for motor imagery movements using SVM by Khorshidtalab, Aida, Salami, Momoh Jimoh Emiyoka, Hamedi , Mahyar

    Published 2012
    “…In this work, in order to have less computational complexity, time-domain algorithms are employed to motor imagery signals. …”
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    Proceeding Paper
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    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
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