Search Results - (( brain computer aided algorithm ) OR ( java application modified algorithm ))

Search alternatives:

Refine Results
  1. 1
    Extended development of a Computer Aided Detection (CAD) system for brain bleed in CT / Muhammad Illyas Abdul Muhji

    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
    “…Computer aided detection Computer aided detection (CAD) is a tool developed to assist radiologist interpretations from diagnostic modalities to decrease observational oversights or false negative rates. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  2. 2
    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
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  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
    “…The main purpose of this research is to design a comprehensive algorithm which aims to aid the medical practitioners mainly the radiographers, radiologists and neurologists in primary brain tumors diagnosis. …”
    Get full text
    Get full text
    Book Section
    Save to List
    Saved in:
  4. 4
    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
    “…The main purpose of this research is to design a comprehensive algorithm which aims to aid the medical practitioners mainly the radiographers, radiologists and neurologists in primary brain tumors diagnosis. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  5. 5
    EEG signal classification for real-time brain-computer interface applications: a review

    EEG signal classification for real-time brain-computer interface applications: a review by Khorshidtalab, A., Salami, Momoh Jimoh Emiyoka

    Published 2011
    “…Brain-computer interface (BCI) is linking the brain activity to computer, which allows a person to control devices directly with his brain waves and without any use of his muscles. …”
    Get full text
    Get full text
    Get full text
    Proceeding Paper
    Save to List
    Saved in:
  6. 6
    Classification of Brain Hemorrhage using Textural Analysis

    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. …”
    Get full text
    Get full text
    Final Year Project
    Save to List
    Saved in:
  7. 7
    Brain tumor image segmentation using deep learning approach

    Brain tumor image segmentation using deep learning approach by Darshan, Suresh

    Published 2022
    “…In neurosurgical, Magnetic Resonance Images (MRI) scans are used to detect cancerous cell grow thin brain called brain tumor. Application that can aid in providing automatic brain tumor segmentation is crucial as segmentation of the exact size and spatial location of these tumors are a time-consuming task. …”
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
    Save to List
    Saved in:
  8. 8
    Multivariate EEG signal processing techniques for the aid of severely disabled people

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

    Published 2022
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  9. 9
    An improved diagnostic algorithm based on deep learning for ischemic stroke detection in posterior fossa

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

    Published 2020
    “…Nowadays, the development of Computer-Aided Diagnosis (CAD) is increasingly becoming an important area in stroke detection. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  10. 10
    Direct approach for mining association rules from structured XML data

    Direct approach for mining association rules from structured XML data by Abazeed, Ashraf Riad

    Published 2012
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  11. 11
    Machine learning using robust AI techniques / Prof. Madya Dr. Nordin Abu Bakar

    Machine learning using robust AI techniques / Prof. Madya Dr. Nordin Abu Bakar by Abu Bakar, Nordin (Prof. Madya Dr.)

    Published 2012
    “…Machine Learning is an area in AI that deals with cognitive ability to assess surrounding area for meaningful actions to pursue. Many algorithms have been applied to aid the assessment process. …”
    Get full text
    Get full text
    Research Reports
    Save to List
    Saved in:
  12. 12
    Identifying the mechanism to forecast the progression of Alzheimer’s disease from mild cognitive impairment using deep learning

    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
    “…In the recent years, computer aided diagnosis method has been employed for the detection and diagnosis of the progression of AD. …”
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
    Save to List
    Saved in:
  13. 13
    Development of Straight Line Robot Movement Using Digital Compas Module

    Development of Straight Line Robot Movement Using Digital Compas Module by Wan Ismail, Ibrahim, Mohd Riduwan, Ghazali, Mohd Zaidi, Mohd Tumari

    Published 2012
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  14. 14
    Early explorations of EEG as a method for interactive evolutionary design of 3-dimensional objects

    Early explorations of EEG as a method for interactive evolutionary design of 3-dimensional objects by Chew, Lin Hou, James Mountstephens, Teo, Jason Tze Wi

    Published 2015
    “…With the combination of brain-computer interface (BCI) and IEC, the hope is to speed up the interactive process, hence reducing user fatigue and at the same time be able to produce promising solutions. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  15. 15
    The Classification of Wink-Based EEG Signals: The identification on efficiency of transfer learning models by means of kNN classifier

    The Classification of Wink-Based EEG Signals: The identification on efficiency of transfer learning models by means of kNN classifier by Jothi Letchumy, Mahendra Kumar, Mamunur, Rashid, Rabiu Muazu, Musa, Mohd Azraai, Mohd Razman, Norizam, Sulaiman, Rozita, Jailani, Anwar, P. P. Abdul Majeed

    Published 2021
    “…It also one of the most appropriate signals in Brain-Computer Interfaces (BCI) applications. BCI frequently used by neuromuscular disorder (post-stroke) patients to aid them in activities of daily living (ADL). …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  16. 16
    Prevention And Detection Mechanism For Security In Passive Rfid System

    Prevention And Detection Mechanism For Security In Passive Rfid System by Khor, Jing Huey

    Published 2013
    “…A GUI is created in a form of JAVA application to display data detected from tag. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  17. 17
    Detection of Yawning and Eye Closure for Monitoring Driver’s Drowsiness

    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. …”
    Get full text
    Get full text
    Get full text
    Final Year Project Report / IMRAD
    Save to List
    Saved in:
  18. 18
    Automatic generation of content security policy to mitigate cross site scripting

    Automatic generation of content security policy to mitigate cross site scripting by Mhana, Samer Attallah, Din, Jamilah, Atan, Rodziah

    Published 2016
    “…The algorithm is implemented as a plugin. It does not interfere with the web application original code. …”
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  19. 19
    Identification of autism subtypes based on wavelet coherence of BOLD FMRI signals using convolutional neural network

    Identification of autism subtypes based on wavelet coherence of BOLD FMRI signals using convolutional neural network by Al-Hiyali, M.I., Yahya, N., Faye, I., Hussein, A.F.

    Published 2021
    “…Findings from this study have illustrated the good potential of wavelet coherence technique in representing dynamic FC between brain nodes and open possibilities for its application in computer aided diagnosis of other neuropsychiatric disorders, such as depression or schizophrenia. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  20. 20
    Identification of autism subtypes based on wavelet coherence of BOLD FMRI signals using convolutional neural network

    Identification of autism subtypes based on wavelet coherence of BOLD FMRI signals using convolutional neural network by Al-Hiyali, M.I., Yahya, N., Faye, I., Hussein, A.F.

    Published 2021
    “…Findings from this study have illustrated the good potential of wavelet coherence technique in representing dynamic FC between brain nodes and open possibilities for its application in computer aided diagnosis of other neuropsychiatric disorders, such as depression or schizophrenia. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:

Search Tools: