Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
In a new approach based on adaptive neuro-fuzzy inference systems (ANFIS), field heart rate (HR) mea...
In this work, the speciation analysis of inorganic antimony (Sb(III) and Sb(V)) is proposed using po...
Robotic gait training is gaining ground in rehabilitation. Room for improvement lies in reducing don...
This study examines the possible effects of progesterone (P4) supplementation during the time of pre...
Inshore and offshore waters of the Gulf of Maine (USA) have spring/summer harmful algal blooms (HABs...
The community-based participatory research (CBPR) approach has been shown to be innovative and effec...
Local field potential (LFP) recordings from spatially distant cortical circuits reveal episodes of c...
Membrane transport proteins and their substrate specificities play crucial roles in a variety of cel...
OBJECTIVE: Previous work has shown that increasing the production of boundary lubricant, superficial...
Although the importance of long-range connections for cortical information processing has been ackno...
OBJECTIVE: We consider the problem of optimal probing to learn connections in an evoked dynamic netw...
The development of quantitative structure-retention relationships (QSRR) aims at constructing an app...
For the first time, the performance of a generalised artificial neural network (ANN) approach for th...
The recent development of broad-scope high resolution mass spectrometry (HRMS) screening methods has...
Lipocalins are short in sequence length and perform several important biological functions. These pr...
The three-phase shift between line current and phase voltage of induction motors can be used as an e...
Cells internalize various molecules through clathrin-mediated endocytosis (CME). Previous live-cell ...
In this paper, we study a set of real-time scheduling problems whose objectives can be expressed as ...
Increasing recognition of the role and value of theory in improvement work in healthcare offers the ...
Pattern recognition in control charts is critical to make a balance between discovering faults as ea...
Support Vector Machines (SVMs) form a family of popular classifier algorithms originally developed t...