Functional brain network modulation following conventional and optimized HD-tDCS in major depressive disorder: A machine learning prediction of treatment response

A novel machine learning-based method to quantify the effect of transcranial direct current stimulation on opioid users

A deep learning approach for diagnosis of schizophrenia disorder via data augmentation based on convolutional neural network and long short-term memory

Deceptive intensities: An exploratory strategy for overcoming early central fatigue in resistance training

Source separation from single-channel abdominal phonocardiographic signals based on independent component analysis

Target Signal Detection from Efficient Time-Segments of VEP Signal

Genomic Signals Compression by Compressed Sensing and Its Application in Sequences Comparison

Feature Conditioning Based on DWT Sub-Bands Selection on Proposed Channels in BCI Speller

Quantized Compressed Sensing for FPCG Signals

A Comparative Study of Lightweight Convolutional Neural Networks for Skin Cancer Classification

Comprehensive Analysis of EEG Signals for Machine Learning-Based Depression Detection

Compressing the genomic signals by wavelet transform and their phylogenetic tree analysis

Brain Deception and the Effects of Blind Weight Training in Adult Women

Compressed Sensing of fPCG by Bayesian Learning

Implementation of Compressed Sensing for fPCG Signal Compression: design and performance evaluation

Classification of heart diseases by local discriminant time-frequency Gabor atoms

Wavelet packet sub-bands extraction by local discriminant bases method for detecting heart diseases

Sparse Modeling of Heart Sounds and Murmurs based on Orthogonal Matching Pursuit

Atomic modeling of heart sounds and murmurs by matching pursuit and wavelet packet dictionary

Heart sound classification based on AR modeling and filter-bank