Model
Let V(t) be the cerebral blood volume \([\textrm{mL}]\) (per \(\,100\,\textrm{g}\)) at time \(t\,[\textrm{hr}]\). We suppose that the hypoxic-ischemic period ends at \(t=0\). Let \(t_\textrm{max}>0\) be the maximum time (

Let V(t) be the cerebral blood volume \([\textrm{mL}]\) (per \(\,100\,\textrm{g}\)) at time \(t\,[\textrm{hr}]\). We suppose that the hypoxic-ischemic period ends at \(t=0\). Let \(t_\textrm{max}>0\) be the maximum time (

We explore the dynamical properties inherent to a vehicle fleet operating within a transportation system. Consider a fleet of vehicles comprising N vehicles traversing a single-lane road, wherein each vehicle…

This study provides a structured and systematic approach to identifying, evaluating, and prioritizing risks in digital healthcare systems using FMEA. The analysis deliberately relied on lightweight, widely available tooling rather than custom…

In this section, we present and analyse the results of our experimental evaluation of the EO-WGAN framework. We begin with an overview of the datasets, evaluation metrics, and experimental setup used to assess our model’s performance….

In addressing challenges of low efficiency & high complexity in the existing methods, this section discusses Improved Method with Spatiotemporal Deep Learning Designed for Multi-Camera Abnormal Behavior Detection in Acquisition Crowded…

The study was conducted in Mettu district, Illubabor zone, Oromia Regional State, Ethiopia. The community-based cross-sectional study design was employed in the urban and rural areas of the Mettu district from…

Picerno, P. et al. Wearable inertial sensors for human movement analysis: a five-year update. Expert Review of Medical Devices 18, 79–94, https://doi.org/10.1080/17434440.2021.1988849 (2021).
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In recent years, the field of machine learning for ancient languages has gained remarkable momentum, driven by increased digitization efforts (creating standardized datasets of texts, metadata and images of ancient written evidence),…

In this research, different retinal image modalities (i.e. fundus images and cross-sectional OCT scans) are utilised to detect AD. For this purpose, retinal images have been obtained from open datasets63,64. To train the models, select the…

In urban traffic networks, the multi-periodicity of road traffic demands and random external disturbances interact, endowing traffic flow time series with highly nonlinear and non-stationary characteristics. To differentially…