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Toplam kayıt 17, listelenen: 11-17
Comparison of machine learning techniques on MS lesion segmentation
(Institute of Electrical and Electronics Engineers Inc., 2019)
Multiple sclerosis arises with conformational change in myelin sheath. Magnetic resonance imaging is frequently used in detection of MS. In this study, to figure out MS lesion, machine learning techniques, namely k means ...
Speckle-enhanced prism spectrometer
(IEEE Computer Society, 2019)
We present an improved prism spectrometer with high wavelength range and spectral resolution. The device is an upgraded prism spectrometer that utilizes an additional scattering medium leading to a wavelength-dependent ...
A mobile parallel manipulator for the elbow rehabilitation of parkinsonian patients
(Institute of Electrical and Electronics Engineers Inc., 2020)
This study presents a two degrees of freedom (DoF) parallel manipulator that enables Parkinsonian Patients to regularly do the assigned rhythmic tasks in order to reduce the symptoms of motor disorders. Considering the ...
Brain tumor classification using MRI images and convolutional neural networks
(Institute of Electrical and Electronics Engineers Inc., 2022)
The brain tumor has become one of the most prominent types of cancers affecting a huge population across the globe every year. It has the lowest life expectancy rate and the risk of death is highly associated with the type, ...
Using Johnson's SU distribution for modeling the background activity in extracellular neural recordings
(Institute of Electrical and Electronics Engineers Inc., 2021)
Extracellular neural recordings obtained from awake behaving subjects through chronically implanted microelectrode arrays provide information about the functioning of the brain with sub-millisecond temporal resolution at ...
A python code for maximum likelihood estimation of the location and scale parameters of the truncated normal distribution
(Institute of Electrical and Electronics Engineers Inc., 2021)
Extracellular neural recordings obtained from chronically implanted microelectrode arrays are widely used in behavioral neurophysiology and invasive brain-machine interfaces. After the raw recordings are band-pass filtered ...
rs-fMRI analysis using spatio-temporal sparse convolutional neural networks
(Institute of Electrical and Electronics Engineers Inc., 2022)
Neuropsychiatric diseases such as Autism Spectrum Disorder (ASD) and Schizophrenia cause various behavioral and communication dysfunctions in human life. Resting state functional magnetic resonance imaging (rs-fMRI) is ...