Search Results - (( brain computer level algorithm ) OR ( java implication based algorithm ))

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  1. 1
    Degree of contribution (DoC) feature selection algorithm for structural brain MRI volumetric features in depression detection

    Degree of contribution (DoC) feature selection algorithm for structural brain MRI volumetric features in depression detection by Kuryati, Kipli, Abbas, Z. Kouzani

    Published 2015
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  2. 2
    A new hybrid technique for nosologic segmentation of primary brain tumors / Shafaf Ibrahim

    A new hybrid technique for nosologic segmentation of primary brain tumors / Shafaf Ibrahim by Ibrahim, Shafaf

    Published 2015
    “…Thus, the involvement of information technology is highly demanded in introducing reliable, simple and accurate computer systems. This study presents an algorithm for nosologic segmentation of primary brain tumors on Magnetic Resonance Imaging (MRI) brain images. …”
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  3. 3
    A new hybrid technique for nosologic segmentation of primary brain tumors / Shafaf Ibrahim

    A new hybrid technique for nosologic segmentation of primary brain tumors / Shafaf Ibrahim by Ibrahim, Shafaf

    Published 2015
    “…Thus, the involvement of information technology is highly demanded in introducing reliable, simple and accurate computer systems. This study presents an algorithm for nosologic segmentation of primary brain tumors on Magnetic Resonance Imaging (MRI) brain images. …”
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  4. 4
    Pattern matching algorithm for artificial to natural DNA codes of a dementia brain

    Pattern matching algorithm for artificial to natural DNA codes of a dementia brain by Shamsudin, Ahmad Faizul, Azhar, Md. Tahir, Salih, Falah, Md. Noon, Hazizan, Ahlan, Abdul Rahman, Suhaimi, Mohd Adam, Bal-Fagih, Zain, Ibrahim, Nurnajhan, Mohd. Badri, F

    Published 2008
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  5. 5
    Integrating Pixel-Based Algorithms for Area Measurement in Brain Tumor Classification

    Integrating Pixel-Based Algorithms for Area Measurement in Brain Tumor Classification by Dwi Swasono, Rachmad

    Published 2025
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  6. 6
    Learner’s emotion prediction using production rules classification algorithm through brain computer interface tool

    Learner’s emotion prediction using production rules classification algorithm through brain computer interface tool by Nurshafiqa Saffah, Mohd Sharif

    Published 2018
    “…The use of sensors known as Brain-Computer Interface (BCI) tool can monitor the physical processes and mental states that occur in the human brain. …”
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  7. 7
    Signal Noise Removal using Concurrent Algorithm

    Signal Noise Removal using Concurrent Algorithm by Hammuzamer Irwan , Hamzah, Azween, Abdullah

    Published 2008
    “…All these processes are concurrently executed to optimize the time and space factors in computing. Therefore, for the moment, a high level conceptual model is introduced to solve this research problem.…”
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  8. 8
    Biologically Inspired Signal Noise Elimination Using Human Ear Model with Concurrent Algorithm

    Biologically Inspired Signal Noise Elimination Using Human Ear Model with Concurrent Algorithm by Hammuzamer Irwan, Hamzah, Azween, Abdullah

    Published 2008
    “…All these processes are concurrently executed to optimize the time and space factors in computing. Therefore, for the moment, a high level conceptual model is introduced to solve this research problem.…”
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  9. 9
    An improved artificial bee colony algorithm based on mean best-guided approach for continuous optimization problems and real brain MRI images segmentation

    An improved artificial bee colony algorithm based on mean best-guided approach for continuous optimization problems and real brain MRI images segmentation by Alrosan, Ayat, Alomoush, Waleed, Norwawi, Norita, Alswaitti, Mohammed, Makhadmeh, Sharif Naser

    Published 2024
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  10. 10
    Brain source localization using reduced EEG sensors

    Brain source localization using reduced EEG sensors by Jatoi, M.A., Kamel, N.

    Published 2018
    “…For this, various optimization algorithms are used which include Bayesian framework-based multiple sparse priors (MSP), classical low-resolution brain electromagnetic tomography (LORETA), beamformer and minimum norm estimation (MNE). …”
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  11. 11
    Brain source localization using reduced EEG sensors

    Brain source localization using reduced EEG sensors by Jatoi, M.A., Kamel, N.

    Published 2018
    “…For this, various optimization algorithms are used which include Bayesian framework-based multiple sparse priors (MSP), classical low-resolution brain electromagnetic tomography (LORETA), beamformer and minimum norm estimation (MNE). …”
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  12. 12
    P300 detection of brain signals using a combination of wavelet transform techniques

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

    Published 2012
    “…Detection of this component is the main challenge of many diagnostics (such as epilepsy) and research applications such as Brain Computer Interface (BCI) and Guilty Knowledge Test (GKT). …”
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  13. 13
    Automated feature extraction for predicting multiple sclerosis patient disability using brain MRI

    Automated feature extraction for predicting multiple sclerosis patient disability using brain MRI by Muslim, Ali M., Mashohor, Syamsiah, Mahmud, Rozi, Al Gawwam, Gheyath, Hanafi, Marsyita

    Published 2022
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  14. 14
    Wavelet-based compression of medical images: Filter-bank selection and evaluation

    Wavelet-based compression of medical images: Filter-bank selection and evaluation by Saffor, A., Bin Ramli, A.R., Ng, K.H.

    Published 2003
    “…MAE values achieved by these filters were 5×1O14 to 12×1O14 for both CT brain and abdomen images at different decomposition levels. …”
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  15. 15
    Performance evaluation for compression-accuracy trade-off using compressive sensing for EEG-based epileptic seizure detection in wireless tele-monitoring

    Performance evaluation for compression-accuracy trade-off using compressive sensing for EEG-based epileptic seizure detection in wireless tele-monitoring by Abualsaud, Khalid, Mahmuddin, Massudi, Hussein, Ramy, Mohamed, Amr

    Published 2013
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  16. 16
    Distortion-Free Digital Watermarking for Medical Images (Fundus) using Complex- Valued Neural Network

    Distortion-Free Digital Watermarking for Medical Images (Fundus) using Complex- Valued Neural Network by Khalifa, Othman Omran, Hassan Abdalla Hashim, Aisha, Olanrewaju, Rashidah Funke

    Published 2015
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  17. 17
    The implications for ahybrid detection technique against malicious sqlattacks on web applications

    The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

    Published 2025
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  18. 18
    Optimization of least squares support vector machine technique using genetic algorithm for electroencephalogram multi-dimensional signals

    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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  19. 19
    Classification of EEG Spectrogram Using ANN for IQ Application

    Classification of EEG Spectrogram Using ANN for IQ Application by Mahfuzah, Mustafa, Norizam, Sulaiman

    Published 2013
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  20. 20
    The impact of tube current and iterative reconstruction algorithm on dose and image quality of infant CT head examination

    The impact of tube current and iterative reconstruction algorithm on dose and image quality of infant CT head examination by Muhammad, N.A., Karim, M.K.A., Harun, H.H., Rahman, M.A.A., Azlan, R.N.R.M., Sumardi, N.F.

    Published 2022
    “…The examination was performed by using 128 multi-slice CT (Ingenuity Core, Philips, Netherlands) and varying the tube current and iterative reconstruction algorithm (iDose4) levels. During the process, the reference mAs (ref. mAs) were altered while maintaining the tube potential at 100 kVp. …”
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