In many public healthcare systems, particularly in resource-constrained environments, time-series forecasting models offer a practical, interpretable, and evidence-based alternative (Stacey et al., ...
Objective Hypertrophic cardiomyopathy (HCM) is the most common inherited cardiomyopathy characterised by pathological left ...
Testing how quickly a biodegradable plastic actually breaks down in the environment can take months, sometimes years, of lab ...
A national-scale mineral potential assessment mapped areas across Australia that are prospective for unconformity-related ...
A groundbreaking new study published in NeuroImage: Reports demonstrates that whole-brain Single Photon Emission Computed ...
Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...
As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability enables us to be aware of our position in space, judge distances, possess ...
Researchers at DLR say they have identified a LBPF aluminum alloy made from scrap that prints crack free with low porosity.
Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...
Abstract: In this article, a novel weakly supervised machine learning approach is proposed for intelligent predictive maintenance (IPdM). It employs balanced random forest and multiple instance ...
The number of hours that students across Oregon are scheduled to spend in school each year varies tremendously from district to district, particularly in high school, a first of its kind study shows.
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