Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
BACKGROUND/OBJECTIVES: The study considers the problem of the inclusion of people with obesity in th...
OBJECTIVE: This systematic literature review aims to demonstrate how Artificial Intelligence (AI) is...
Deep learning (DL) has shown great potential in digital pathology applications. The robustness of a ...
The technology of artificial intelligence (AI) has made significant in-roads into the field of medic...
In recent years, the wide application of artificial intelligence (AI) has dramatically improved the ...
Software effort estimation is a significant part of software development and project management. The...
The prediction of fragment ion intensities and retention time of peptides has gained significant att...
Recurrent Neural Networks (RNNs) have become important tools for tasks such as speech recognition, t...
From 2018 to 2021, the Sussex-Huawei Locomotion-Transportation Recognition Challenge presented diffe...
This study investigated the effects of robot-assisted gait training with body weight support on gait...
With the rapid development of China's social economy, it is the most important task for the water co...
Student performance is crucial to the success of tertiary institutions. Especially, academic achieve...
BACKGROUND: Deep learning segmentation requires large datasets with ground truth. Image annotation i...
Human gait is a periodic motion of body segments-the analysis of motion and related studies is terme...
Quantitative phase imaging has been of interest to the science and engineering community and has bee...
Being a second most cause of mortality worldwide, cancer has been identified as a perilous disease f...
We present the lifted proximal operator machine (LPOM) to train fully-connected feed-forward neural ...
Recent years have seen a rapid rise of artificial neural networks being employed in a number of cogn...
Machine learning models are widely applied to predict molecular properties or the biological activit...
BACKGROUND: Drug discovery is time-consuming and costly. Machine learning, especially deep learning,...
Digital reconstruction of neuronal structures from 3D microscopy images is critical for the quantita...