The field of drug discovery has experienced a remarkable transformation ...
The accuracy of coronary artery disease (CAD) diagnosis is dependent on ...
Researchers have proposed several approaches for neural network (NN) bas...
XAI refers to the techniques and methods for building AI applications wh...
In recent years, Reinforcement Learning (RL) has emerged as a powerful t...
The field of autonomous mobile robots has undergone dramatic advancement...
In recent years, cardiovascular diseases (CVDs) have become one of the
l...
Myocarditis is among the most important cardiovascular diseases (CVDs),
...
With the advent of smart devices, the demand for various computational
p...
Cardiovascular disease is one of the most challenging diseases in middle...
Many works have been done to handle the uncertainties in the data using ...
One of the most common problems encountered in human-computer interactio...
Schizophrenia (SZ) is a mental disorder whereby due to the secretion of
...
Epileptic seizures are a type of neurological disorder that affect many
...
Multiple Sclerosis (MS) is a type of brain disease which causes visual,
...
Covid-19 has been started in the year 2019 and imposed restrictions in m...
In this paper, we propose a novel method named CNN-AE to predict surviva...
The coronavirus (COVID-19) is currently the most common contagious disea...
The new coronavirus has caused more than 1 million deaths and continues ...
Deep neural networks (DNNs) have been widely applied for detecting COVID...
Understanding data and reaching valid conclusions are of paramount impor...
Accurate diagnosis of Autism Spectrum Disorder (ASD) is essential for
ma...
A variety of screening approaches have been proposed to diagnose epilept...
Recent advancements in Artificial intelligence, especially deep learning...