Detecting cervical spondylosis using deep learning
Read More...The effects of image manipulation on classification of cervical spondylosis X-ray images using deep learning
Human comprehension of 4-dimensional rotation
The authors looked at the ability subjects to rotation a 4D cube and how the ability to practice cube rotation impact their ability to understand 4D space.
Read More...Population demographic patterns in PFAS-neurological health research
The authors analyzed racial and ethnic representation in studies on PFAS and neurological health outcomes.
Read More...The correlation between the phase of the moon and the number of psychiatric patients admitted to the hospital
The authors looked at if there was any correlation between the phase of the moon and admissions for psychiatric concerns.
Read More...Predicting clogs in water pipelines using sound sensors and machine learning linear regression
The authors looked the ability of sound sensors to predict clogged pipes when the sound intensity data is run through a machine learning algorithm.
Read More...Analysis of quantitative classification and properties of X-ray binary systems
The authors looked at variables and their patterns and how those contribute to the properties of X-ray binaries.
Read More...Impact of length of audio on music classification with deep learning
The authors looked at how the length of an audio clip used of a song impacted the ability to properly classify it by musical genre.
Read More...Gender differences in social media, sleep, and cognition in U.S. teens
The authors survey teenagers within the United States regarding the effect of social media use on sleep quality and attention span.
Read More...Predicting and explaining illicit financial flows in developing countries: A machine learning approach
The authors looked at the ability of different machine learning algorithms to predict the level of financial corruption in different countries.
Read More...An assessment of controllable etiological factors involved in neonatal seizure using a Monte Carlo model
The authors used Monte Carlo simulations to assess the impacts of various factors on neonatal seizure risk.
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