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The authors looked at which measurements from the NFL combine were the most predictive of success for defensemen in the NFL.

The authors looked at the importance of different point breakdowns needed to win in a game of tennis.

The authors looked at the feasibility to predict wind speeds that will have less reliance on using historical data.

Recent advances in generative AI have made it increasingly hard to distinguish real images from AI-generated ones. Traditional detection models using CNNs or U-net architectures lack precision because they overlook key spatial and frequency domain details. This study introduced a hybrid model combining Convolutional Neural Networks (CNN) with Fast Fourier Transform (FFT) to better capture subtle edge and texture patterns.

The authors looked the ability of sound sensors to predict clogged pipes when the sound intensity data is run through a machine learning algorithm.

India’s Digital Public Infrastructure (DPI)—including the Unified Payments Interface (UPI) and Aadhaar—has been globally recognized for advancing financial inclusion and efficient governance. This study analyzes data from 2016–17 to 2023–24 the impact of these services on India's GDP.

The authors looked at the ability to detect heart disease before the onset of severe clinical symptoms.

The authors looked at ways to provide better forecasting on website traffic. They found that deep learning models performed better than statistical models.

Impact of carbon tax and dividend on financial security

Improving the classifier of the difficulty level of Sudoku.