Browse Articles

The effect of activation function choice on the performance of convolutional neural networks

Wang et al. | Sep 15, 2023

The effect of activation function choice on the performance of convolutional neural networks
Image credit: Tara Winstead

With the advance of technology, artificial intelligence (AI) is now applied widely in society. In the study of AI, machine learning (ML) is a subfield in which a machine learns to be better at performing certain tasks through experience. This work focuses on the convolutional neural network (CNN), a framework of ML, applied to an image classification task. Specifically, we analyzed the performance of the CNN as the type of neural activation function changes.

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Effects of various alkaline carbonic solutions on the growth of the freshwater algae Chlorophyceae

Jani et al. | Aug 11, 2023

Effects of various alkaline carbonic solutions on the growth of the freshwater algae Chlorophyceae
Image credit: Jordan Whitfield

Modern day fossil fuels are prone to polluting our environment, which can provide major habitat loss to many animals in our ecosystems. Algae-based biofuels have become an increasingly popular alternative to fossil fuels because of their sustainability, effectiveness, and environmentally-friendly nature. To encourage algae growth and solidify its role as an emerging biofuel, we tested basic (in terms of pH) solutions on pond water to determine which solution is most efficient in inducing the growth of algae.

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Influence of induction heating on static recrystallization kinetics of AISI 4130 steel

Chen et al. | Apr 30, 2026

Influence of induction heating on static recrystallization kinetics of AISI 4130 steel

This article investigates whether induction heating can speed up static recrystallization in AISI 4130 steel compared with traditional radiant heating. It was found that induction-heated samples recrystallized faster, softened more quickly, and showed earlier microstructural changes like grain nucleation and pearlite spheroidization, suggesting induction heating could be a more efficient alternative for industrial metal heat treatments.

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Analysis of the catalytic efficiency of spent coffee grounds and titanium dioxide using UV-Vis spectroscopy

Jahng et al. | Dec 09, 2025

Analysis of the catalytic efficiency of spent coffee grounds and titanium dioxide using UV-Vis spectroscopy
Image credit: Jahng and Kim

This paper looks at using spent coffee grounds as a partial substitute for titanium dioxide (TiO2) as a catalyst for chemical reactions. Using UV-Vis spectrophotometry, they found that adding the coffee grounds to TiO2 in a 3:1 ratio, there is still meaningful catalytic activity. This offers a cheaper solution than just using pure TiO2.

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