Journal on Frontier Applied Science and Technology

This study presents a novel convolutional neural network architecture for the early detection of Alzheimer's disease using structural MRI data. Our model achieves 94.3% accuracy on the ADNI dataset, outperforming existing methods by 6.2%.

This review examines the latest advances in integrating renewable energy sources into smart grid infrastructure, covering photovoltaic systems, wind energy, and energy storage technologies from 2020 to 2025.

Using a mixed-methods approach combining computational text analysis and survey data, this paper investigates the relationship between social media consumption and political polarization in Hungary, Romania, and Austria.

We demonstrate the application of variational quantum eigensolver (VQE) algorithms to simulate molecular interactions between candidate drug compounds and the SARS-CoV-2 main protease, identifying three novel inhibitor candidates.