A review on extreme learning machine
Extreme learning machine (ELM) is a training algorithm for single hidden layer feedforward
neural network (SLFN), which converges much faster than traditional methods and yields …
neural network (SLFN), which converges much faster than traditional methods and yields …
An intensive and comprehensive overview of JAYA algorithm, its versions and applications
In this review paper, JAYA algorithm, which is a recent population-based algorithm is
intensively overviewed. The JAYA algorithm combines the survival of the fittest principle from …
intensively overviewed. The JAYA algorithm combines the survival of the fittest principle from …
A 1D CNN for high accuracy classification and transfer learning in motor imagery EEG-based brain-computer interface
F Mattioli, C Porcaro… - Journal of Neural …, 2022 - iopscience.iop.org
Objective. Brain-computer interface (BCI) aims to establish communication paths between
the brain processes and external devices. Different methods have been used to extract …
the brain processes and external devices. Different methods have been used to extract …
Brain tumor classification using a hybrid deep autoencoder with Bayesian fuzzy clustering-based segmentation approach
PMS Raja - Biocybernetics and Biomedical Engineering, 2020 - Elsevier
In medical image processing, brain tumor detection and segmentation is a challenging and
time-consuming task. Magnetic Resonance Image (MRI) scan analysis is a powerful tool in …
time-consuming task. Magnetic Resonance Image (MRI) scan analysis is a powerful tool in …
Covid-19 diagnosis by WE-SAJ
W Wang, X Zhang, SH Wang… - Systems science & control …, 2022 - Taylor & Francis
With a global COVID-19 pandemic, the number of confirmed patients increases rapidly,
leaving the world with very few medical resources. Therefore, the fast diagnosis and …
leaving the world with very few medical resources. Therefore, the fast diagnosis and …
A review of neuroimaging-driven brain age estimation for identification of brain disorders and health conditions
Background: Neuroimage analysis has made it possible to perform various anatomical
analyses of the brain regions and helps detect different brain conditions/disorders. Recently …
analyses of the brain regions and helps detect different brain conditions/disorders. Recently …
Automated diagnosis of multi-class brain abnormalities using MRI images: a deep convolutional neural network based method
Automated detection of multi-class brain abnormalities through magnetic resonance imaging
(MRI) has received much attention due to its clinical significance and therefore has become …
(MRI) has received much attention due to its clinical significance and therefore has become …
Fast discrete curvelet transform and modified PSO based improved evolutionary extreme learning machine for breast cancer detection
A significant research area in medical imaging analysis is digital mammography breast
cancer detection in the early stage. For breast mass classification into the benign or …
cancer detection in the early stage. For breast mass classification into the benign or …
Optimised genetic algorithm-extreme learning machine approach for automatic COVID-19 detection
The coronavirus disease (COVID-19), is an ongoing global pandemic caused by severe
acute respiratory syndrome. Chest Computed Tomography (CT) is an effective method for …
acute respiratory syndrome. Chest Computed Tomography (CT) is an effective method for …
[HTML][HTML] Gray level co-occurrence matrix and extreme learning machine for Covid-19 diagnosis
P Pi, D Lima - International Journal of Cognitive Computing in …, 2021 - Elsevier
Background Chest CT is considered to be a more accurate method for diagnosing
suspected patients. However, with the spread of the epidemic, traditional diagnostic …
suspected patients. However, with the spread of the epidemic, traditional diagnostic …