Browse Articles

Semantic segmentation - labelling each pixel in an image to a specific class- models require large amounts of manually labeled and collected data to train.

In this study the authors look at elastic modulus and stiffness of steel rules with vary lengths of cracks. They found that cracks decreased the overall elastic modulus and bending stiffness of the ruler. This work has applications to structural engineering and the design of items such as airplanes and bridges.

The authors test how the size-segregation theory applies to the behavior of hollow and irregular-shaped objects.

The authors test various machine learning models to improve the accuracy and efficiency of pneumonia diagnosis from X-ray images.

The authors propose and test a method that would allow for the generation of a magnetic field on Mars sufficient to support future colonization.

The authors test different machine learning algorithms to remove background noise from audio to help people with hearing loss differentiate between important sounds and distracting noise.

The authors test the effectiveness of machine learning to predict onset of cardiovascular disease.

The authors test the effects of common food industry preservatives on the heart rate of the freshwater crustacean Daphnia magna.

The authors test the ability of planarians to remember conditioned stimuli following regeneration.

The authors test potential anti-inflammatory and pro-apoptotic effects of a polyherbal extract formulation on cultured breast cancer cells.