Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Primary malignant bone tumors, such as osteosarcoma, significantly affect the pediatric and young ad...
Utilities face serious obstacles from power theft, which calls for creative ways to maintain income ...
Sports injuries pose significant challenges in athlete welfare and team dynamics, particularly in hi...
In many modern machine learning (ML) models, attention mechanisms (AMs) play a crucial role in proce...
OBJECTIVE: To derive and validate a prediction model for minimal clinically important differences (M...
Autism Spectrum Disorder (ASD) is a neurological illness that degrades communication and interaction...
Recent developments in affordable depth imaging hardware and the use of 2D Convolutional Neural Netw...
In brain-computer interface (BCI), building accurate electroencephalogram (EEG) classifiers for spec...
Radiotherapy aims to deliver a prescribed dose to the tumor while sparing neighboring organs at risk...
BACKGROUND: Walking impairment represents a relevant symptom in patients with neurological diseases ...
Extensive studies on improving anammox performance have taken place for decades with particular focu...
The automatic segmentation of the pharyngeal airway space has many potential medical use, one of whi...
The current study aimed to systematically review the literature on the accuracy of artificial intell...
A Brain-computer interface (BCI) system establishes a novel communication channel between the human ...
BACKGROUND: Participant recruitment in rural and hard-to-reach (HTR) populations can present unique ...
Proteome analysis currently heavily relies on tandem mass spectrometry (MS/MS), which does not fully...
In cloud computing (CC), task scheduling allocates the task to best suitable resource for execution....
Spiking Neural Networks (SNNs) are naturally suited to process sequence tasks such as NLP with low p...
OBJECTIVE: This study aims to develop risk prediction models for neck and shoulder musculoskeletal d...
PURPOSE: The development of innovative solutions, such as simulator training and artificial intellig...
In this study, four machine learning (ML) prediction models were developed to predict and optimize t...