Testing how quickly a biodegradable plastic actually breaks down in the environment can take months, sometimes years, of lab ...
Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...
A national-scale mineral potential assessment mapped areas across Australia that are prospective for unconformity-related ...
An artificial intelligence (AI) machine-learning model has been developed that can predict the risk of early death in trauma ...
Reports demonstrates that whole-brain Single Photon Emission Computed Tomography (SPECT) imaging, combined with advanced ...
Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...
The paper by Sajiki et al 1 gives us a fascinating glimpse of the potential benefits of applying machine learning to large ...
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 ...
Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...
Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.
Chinese scientists have developed a machine learning-based typhoon rapid intensification forecasting model which has been ...
Abstract: Iterative learning control (ILC) has demonstrated effectiveness in urban traffic signal control systems. However, conventional ILC methods typically require infinite iterations to achieve ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results