Latest AI and machine learning research in work force for healthcare professionals.
The huge number of network traffic data, the abundance of available network features, and the divers...
BACKGROUND: Deep artificial neural networks such as convolutional neural networks (CNNs) have been s...
Water transparency affects the degree of sunlight penetration in water, which is important to many w...
The objects and events detection tasks are being performed progressively often by robotic systems li...
In the past 20Â years, numerous technical innovations were introduced to the histopathology laborator...
BACKGROUND: It is unclear how to best establish successful robotic training programs or if subspecia...
Deep learning facilitates complex medical data analysis and is increasingly being explored in colore...
Shortage of labor and increased work of young people are causing problems in terms of care and welfa...
This article deals with nonconvex stochastic optimization problems in deep learning. Appropriate lea...
INTRODUCTION: Performance assessment and feedback are critical factors in successful medical simulat...
Site-specific treatment of weeds in agricultural landscapes has been gaining importance in recent ye...
Different body weight-supported gait-training strategies are available for improving ambulation in i...
Timely and accurate diagnosis of coronavirus disease 2019 (COVID-19) is crucial in curbing its sprea...
In medicine, the count of different types of white blood cells can be used as the basis for diagnosi...
PURPOSE: To evaluate the feasibility of folded image training strategy (FITS) and the quality of ima...
Human activity recognition (HAR) became a challenging issue in recent years. In this paper, we propo...
Robotic surgical training is undergoing a period of transition now that new robotic operating platfo...
Recent image-style transfer methods use the structure of a VGG feature network to encode and decode ...
BACKGROUND: Currently, the diagnosis of invasive pulmonary aspergillosis (IPA) mainly depends on the...
Video labelling is the assigning of meaningful information to raw videos. With the evolution of arti...
Machine learning (ML) models have proven their potential in acquiring and analyzing large amounts of...