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Adaptive glioblastoma detection using evolutionary-based algorithm / Nurul Amira Mohd Ali by Mohd Ali, Nurul Amira

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

“…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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Prediction of blood-brain barrier permeability of compounds by machine learning algorithms by Feng, Tan wei, Raihana Zahirah, Edros, Ngahzaifa, Ab Ghani, Siti Umairah, Mokhtar, Dong, Ruihai

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Brain tumor quantification equation: modeled on complete step response algorithm by Aboaba, Abdulfattah A., Hameed, Shihab A., Khalifa, Othman Omran, Hassan Abdalla Hashim, Aisha, Harun, Rahmat, Zain, Norzaini Rose Mohd

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Brain computer interface based wheelchair for disable people using electroencephalography signal by Ibrahimy, Muhammad Ibn

“…Brain computer interface causes direct operation between brain and computer. …”
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Brain computer interface based wheelchair for disable people using electroencephalography signal by Ibrahimy, Muhammad Ibn

“…Brain computer interface causes direct operation between brain and computer. …”
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Deep learning segmentation of brain ischemic lesion from magnetic resonance images for three-dimensional modelling by Muhammad Ismaill, Mat Lizah, Nasrul Hadi, Johari, Mohd Jamil, Mohamed Mokhtarudin

“…Automated segmentation is important for early detection and treatments to reduce disability and death risks among brain stroke patients. The existing segmentation algorithm is limited due to its computationally expensiveness in achieving a small accuracy. …”
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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

“…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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A Novel Pixel Counting Technique to Assess the Volumetric Changes in Human Brain Morphology by K., Nithyakalyani, R., Kalpana, S., Sudhakar, N., Vigneswaran

“…Specifically, the volumetric assessment indicated proves to be a viable technique toward understanding the gender differences, geriatric changes in the brain as well as the conditions of brain tissues vis-à-vis neuro-related issues. …”
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An improved diagnostic algorithm based on deep learning for ischemic stroke detection in posterior fossa by Muhd Suberi, Anis Azwani

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

“…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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Electroencephalogram signal interpretation system for mobile robot by Hasan, Intan Helina

“…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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Nearfield Electromagnetic Imaging Technique For Brain Tumour Detection by Eustacius Jude, Anak Joseph Linggong

“…Brain tumour is among the deadliest disease that is fatal if left untreated. …”
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Wavelet-based compression of medical images: Filter-bank selection and evaluation by Saffor, A., Bin Ramli, A.R., Ng, K.H.

“…We evaluated the best types of filters suitable for medical images in providing low bit rate and low computational complexity. In this study a variety of wavelet filters are used to compress and decompress computed tomography (CT) brain and abdomen images. …”
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Early Detection Of ADHD Among Children Using Machine Learning by Nur Atiqah, Kamal

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Comparison of static and dynamic neural network classifiers for brain-machine interfaces / Hema C.R. ...[et al.] by C.R., Hema, M.P., Paulraj, Yaacob, S., Adom, A.H., Nagarajan, R.

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

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Human action recognition using slow feature analysis / Bardia Yousefi by Bardia, Yousefi

“…Studies on computational neuroscience through functional magnetic resonance imaging and following human visual systems state that the mammalian brain pursues two distinct pathways in the model. …”
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Single classifer vs. ensemble machine learning approaches for mental health prediction by Jetli Chung, Jason Teo

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Cardiac abnormality prediction using tansig based multilayer perceptron by Mohanty, Sibani Priyadarshini, Syahrull Hi-Fi Syam Ahmad Jamil, Jailani Abdul Kadir, Mohd Salman Mohd Sabri, Fakroul Ridzuan Hashim

“…An artificial neural network (ANN) is a network designed with adaptation to a computer system. The developed computer system will perform functions oriented to the way the brain works (neuron concept). …”
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