Communication has been an essential part of being human and living in society. There are
several different languages and variations of them, so you can speak English in one place …

Computer vision systems have numerous tools to assist in various medical fields, notably in
image diagnosis. Computed tomography (CT) is the principal imaging method used to assist …

The conventional pooling method for processing one‐dimensional vibration signals may
lead to certain issues, such as weakening and loss of feature information. The present study …

Systems using deep neural network (DNN) have shown promising results in automatic
speech recognition (ASR), where one of the biggest challenges is the recognition in noisy …

According to the World Health Organization, severe lung pathologies bring about 250,000
deaths each year, and by 2030 it will be the third leading cause of death in the world. The …

Convolution neural networks (CNNs) have been demonstrated to be very effective in various
computer vision tasks. The main strength of such networks is that features are learned from …

Noise-robust speech recognition system is still one of the ongoing, challenging problems,
since these systems usually work in the noisy environments, such as offices, vehicles …

ASR converts speech signal into corresponding text form. The performance of an ASR
decreases under noisy environment. To overcome this problem a speech enhancement …

For a directed or undirected graph without loops we give formulae for the determinant and
adjugate of matrices which carry their structure. In particular, we consider the in-degree and …

Team communication provides a rich source of data about team processes that can impact
team performance. It can provide information about team structure, team roles …