Browse Articles

Understanding and predicting cognitive decline in Alzheimer's disease

This manuscript evaluates peak detection algorithms for feature extraction in EMG-based hand gesture recognition using a random forest classifier. The study demonstrates that wavelet-based peak detection features achieve the highest classification accuracy (96.5%), outperforming other methods. The results highlight the potential of peak features to improve EMG-based prosthetic control systems.

The authors looked at preferences of donors to donate between different animal-centered or humanitarian charities.

The authors looked at the difference in investing in stock vs. mutual funds.

The authors developed a quantum inspired model for stock market fluctuations.

The authors looked at student perception on various situations involving third-party tracking to personalize recommendations.

Analysis of the Sloan green and red photometry of the Type Ia supernova 2024neh

The authors looked at non-natural factors that influenced the spread rate of fire ants in multiple cities in China.

The authors looked at genes that were differentially expressed in patients who had and had not had febrile seizures to determine what differences in gene expression existed.

The authors looked the ability to predict future stock prices using various machine learning models.