The authors studied the impact of AI face-tracking technology on the immersiveness of videogames as an alternative to virtual reality gaming.
Read More...Artificial intelligence face-tracking for a semi-virtual reality gaming experience
The authors studied the impact of AI face-tracking technology on the immersiveness of videogames as an alternative to virtual reality gaming.
Read More...Which life is worth saving? Preferences between animal-based and humanitarian charities
The authors looked at preferences of donors to donate between different animal-centered or humanitarian charities.
Read More...Water tubing injury patterns among different demographics: A NEISS study
The authors looked at how injuries sustained during water tubing, that require treatment at an emergency department, differ between males and females.
Read More...A systematic study of cut-resistant socks for hockey players
Quantum-inspired neural networks enhance stock prediction accuracy
The authors developed a quantum inspired model for stock market fluctuations.
Read More...Unraveling individuality in dance through weight distribution analysis of Nihon Buyo dancers
The author looked at how dance styles can vary by individuals, even between a student and their teacher.
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...Fire detection using subterranean soil sensors
The authors looked at how soil temperature changes with fire to develop a sensor system that could aid in earlier detection of fires.
Read More...Predicting the spread speed of red imported fire ants under different temperature conditions in China
The authors looked at non-natural factors that influenced the spread rate of fire ants in multiple cities in China.
Read More...Environmental contributors of asthma via explainable AI: Green spaces, climate, traffic & air quality
This study explored how green spaces, climate, traffic, and air quality (GCTA) collectively influence asthma-related emergency department visits in the U.S using machine learning models and explainable AI.
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