Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
Donor-Recipient (D-R) matching is one of the main challenges to be fulfilled nowadays. Due to the in...
This paper shows the design and modeling of an end effector with a bidirectional telescopic mechanis...
Current experience suggests that artificial intelligence (AI) and machine learning (ML) may be usefu...
Dysarthria is a disorder that affects an individual's speech intelligibility due to the paralysis of...
Residue co-evolution has become the primary principle for estimating inter-residue distances of a pr...
Although there is increased interest in utilizing machine learning (ML) to support drug development,...
The growing number of recording sites of silicon-based probes means that an increasing amount of neu...
Several studies have reported that stroke survivors displayed improved voluntary planar movements wh...
The traditional generalized sidelobe canceller (GSC) is a common speech enhancement front end to imp...
Keyword search (KWS) means searching for keywords given by the user from continuous speech. Conventi...
BACKGROUND: Determine the effects of an integrated rehabilitation protocol, including botulinum toxi...
Evidence has accumulated enough to prove non-coding RNAs (ncRNAs) play important roles in cellular b...
Monolithic neural networks and end-to-end training have become the dominating trend in the field of ...
PURPOSE: Iterative convolutional neural networks (CNNs) which resemble unrolled learned iterative sc...
The remarkable successes of convolutional neural networks (CNNs) in modern computer vision are by no...
A rotator cuff tear (RCT) is an injury in adults that causes difficulty in moving, weakness, and pai...
Speaker recognition is a task of identifying persons from their voices. Recently, deep learning has ...
In this paper, we propose a cycle consistent network based end-to-end TTS for speaking style transfe...
Recent image style transfer methods use a pre-trained convolutional neural network as their feature ...
This paper presents a lightweight, infrastructureless head-worn interface for robust and real-time r...
The aim of the study is to examine the effect of peritoneal re-approximation or non-approximation o...