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Optimizing AI-generated image detection using a Convolutional Neural Network model with Fast Fourier Transform

Gupta et al. | Oct 24, 2025

Optimizing AI-generated image detection using a Convolutional Neural Network model with Fast Fourier Transform

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.

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Exploring the Factors that Drive Coffee Ratings

Agarwal et al. | May 19, 2025

Exploring the Factors that Drive Coffee Ratings

This study explores the factors that influence coffee quality ratings using data from the Coffee Quality Institute. Through a regression model based on gradient descent, the authors aimed to predict coffee ratings (total cup points) and hypothesized that sweetness and the coffee producer would be the most influential factors.

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The optimization of high-protein duckweed cultivation in eutrophicated water with mutualistic bacteria

Akkarajeerawat et al. | Mar 18, 2025

The optimization of high-protein duckweed cultivation in eutrophicated water with mutualistic bacteria

he rapid growth of the human population is driving food crises in Thailand and Southeast Asia, while contributing to global food insecurity and a larger carbon footprint. One potential solution is cultivating duckweed (Wolffia globosa) for consumption, as it grows quickly and can provide an alternative protein source. This research explored two methods to optimize duckweed cultivation: using phosphorus- and nitrogen-rich growing media and plant growth-promoting bacteria (PGPB).

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Utilizing sorbitol to improve properties of cellulose-based biodegradable hydrogels

Adler et al. | Jan 06, 2025

Utilizing sorbitol to improve properties of cellulose-based biodegradable hydrogels

Hydrogels are commonly used in medicine, pharmaceuticals, and agriculture. Hydrogels absorb water by swelling and re-release this water by diffusion. This study sought to synthesize a biodegradable, cellulose-based hydrogel that is more effective at absorbing and re-releasing water than those produced by current methods. We tested the compressive strength of both the dry and swollen gels and the tensile strength of the swollen gels to elucidate the gel structure.

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