Latest AI and machine learning research in work force for healthcare professionals.
Patient transportation in hospitals faces many challenges, including the limited manpower, work-rela...
Deep learning using convolutional neural networks (CNNs) is a distinguished tool for many image clas...
Wearable technology has been viewed as one of the plausible alternatives to capture human motion in ...
Imbalance problem occurs when the majority class instances outnumber the minority class instances. C...
High-cost situations need to be avoided. However, occasionally, cost may only be learned by experien...
This paper presents an integrated hybrid optimization algorithm for training the radial basis functi...
In this article, we propose the deep neural network Adversarial Threshold Neural Computer (ATNC). Th...
Motor deficits are common outcomes of neurological conditions such as stroke. In order to design per...
Many automatic classifiers were introduced to aid inference of phenotypical effects of uncategorised...
Parametrization of small organic molecules for classical molecular dynamics simulations is not trivi...
In order to properly control rehabilitation robotic devices, the measurement of interaction force an...
Trained recurrent networks are powerful tools for modeling dynamic neural computations. We present a...
The main objective of this work was to determine the abundance and species diversity of fungi in the...
Populations of neurons display an extraordinary diversity in the behaviors they affect and display. ...
Advancement of Artificial Intelligence (AI) capabilities in medicine can help address many pressing ...
Molecular typing techniques are key tools in surveillance of food spoilage yeasts, in investigations...
The purpose of the study was to understand the effect of robotic finger perturbation training on ste...
(Co-)combustion characteristics of sewage sludge (SS), coffee grounds (CG) and their blends were qua...
BACKGROUND: Type 2 diabetes is the most expensive chronic disease in the United States. Two-thirds o...
Polyphonic music files were analyzed using the set of symbols that produced the Minimal Entropy Desc...