Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
A stroke is a common disease that can easily lead to lower limb motor dysfunction in the elderly. St...
In the energy management of district cooling plants, the thermal energy storage tank is critical. As...
BACKGROUND: Research suggests that treatment of multiple brain metastases (BMs) with stereotactic ra...
Energy efficiency is crucial to greenhouse gas (GHG) emission pathways reported by the Intergovernme...
PURPOSE: Robot-assisted groin hernia repair is becoming more popular in recent years but may remove ...
Currently, the high demand for new products in the automotive sector requires large investments in f...
Energy consumption is an important issue for resource-constrained wireless neural recording applicat...
Pretrained deep models hold their learnt knowledge in the form of model parameters. These parameters...
Transformer models have become a popular choice for various machine learning tasks due to their ofte...
A crucial element of any surgical training program is the ability to provide procedure-specific, obj...
The rapid development of Internet of things mobile application technology and artificial intelligenc...
INTRODUCTION: The construction field is considered one of the most dangerous industries. Accidents a...
In this paper, the side effects of drug therapy in the process of cancer treatment are reduced by de...
Deep neural networks (DNNs) have shown success in image classification, with high accuracy in recogn...
This work presents an ECG classifier for variable leads as a contribution to the Computing in Cardio...
Survival analysis deals with the expected duration of time until one or more events of interest occu...
This paper analyzes the quantitative assessment model of the swimming training effect based on the d...
Efficient management of solid waste is essential to lessen its potential health and environmental im...
Although deep learning holds great promise as a prognostic tool in psychiatry, a limitation of the m...
In general, most of the existing convolutional neural network (CNN)-based deep-learning models suffe...
The Internet of Things applications have become popular because of their lightweight nature and usef...