Abstract: Electroencephalogram (EEG) has been widely employed in emotion recognition, seizure detection, and brain-computer interface applications. This article presents an elaborated RISC-V-based EEG ...
(CNN) — President Donald Trump has introduced a “Presidential Walk of Fame” along a noticeable walkway outside the West Wing of the White House. “The Presidential Walk of Fame has arrived on the West ...
Abstract: The adoption of Deep Neural Networks (DNNs) in critical fields where predictions need to be accompanied by justifications is hindered by their inherent black-box nature. This paper ...
Abstract: Three-dimensional electromagnetic tomography (3D EMT) image reconstruction is characterized by larger data volumes, more complex structures, and stronger spatial correlations. These ...
Abstract: This study proposes an image-text multimodal classification algorithm based on a combination of convolutional neural networks (CNN) and Transformer, aiming to solve the key problems in ...
Abstract: Convolutional neural networks (CNNs) have shown impressive performance in hyperspectral image (HSI) classification. However, these deep learning methods still face two major challenges. One ...
Классический проект распознавания рукописных цифр MNIST на PyTorch. Репозиторий содержит полный цикл: загрузка и подготовка данных, определение ...
(CNN) — A spellbinding image of two tiny but vibrant “ladybugs of the sea” has won the Ocean Photographer of the Year 2025 award. Taken by Indonesia-based photographer Yury Ivanov at his local dive ...
A comprehensive machine learning project for classifying images of fruits and vegetables using Convolutional Neural Networks (CNNs). This project includes both a training pipeline and a web ...
Abstract: In recent years, uncrewed aerial vehicle (UAV) technology has shown great potential for application in hyperspectral image (HSI) classification tasks due to its advantages of flexible ...
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