Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
BACKGROUND: Intensive care units (ICUs) face financial, bed management, and staffing constraints. De...
One of the most challenging tasks in modern science is the development of systems biology models: Ex...
A deep convolutional neural network was used for the estimation of gas chromatographic retention ind...
BACKGROUND: Balance impairments are common in patients with infratentorial stroke. Although robot-as...
A neural network model was previously developed to predict melatonin rhythms accurately from blue li...
The aim of this paper is to reverse an assembly line, to be able to perform disassembly, using two c...
We used two simple unsupervised machine learning techniques to identify differential trajectories of...
BACKGROUND: Accurate estimation of operative case-time duration is critical for optimizing operating...
In this paper, a hybrid deep neural network scheduler (HDNNS) is proposed to solve job-shop scheduli...
Different adaptation rates have been reported in studies involving ankle exoskeletons designed to re...
OBJECTIVES: To provide proof-of-concept for a protocol applying a strategy of personalized mechanica...
A miniature resonant tactile sensor for tissue stiffness detection in robot-assisted minimally invas...
Class imbalance is a challenging problem in many classification tasks. It induces biased classificat...
The adaptive changes elicited in visuomotor adaptation experiments are usually well explained at gro...
Accurately predicting reference evapotranspiration (ET0) with limited climatic data is crucial for i...
Customer retention is invariably the top priority of all consumer businesses, and certainly it is on...
Identifying medical persona from a social media post is critical for drug marketing, pharmacovigilan...
Recently, machine learning, especially deep learning, has been a core algorithm to be widely used in...
BACKGROUND: Despite a robust physiological rationale, recruitment manoeuvres with PEEP titration wer...
A strategy for determining a suitable solvent gradient in silico in preparative peptide separations ...
Work history information reflected in resumes and job application forms is commonly used to screen j...