CDVAE, a symmetry-aware generative AI framework that embeds space-group information into the generation of crystal structures ...

Abstract: Methane is one of the most dangerous gases produced in the process of coal mining. Because of its flammable and explosive characteristics, it has seriously threatened the life and property ...

The PlantIF framework consists of image and text feature extractors, semantic space encoders, and a multimodal feature fusion module. Image and text feature extractors are used to present visual and ...

Decoding emotional states from electroencephalography (EEG) signals is a fundamental goal in affective neuroscience. This endeavor requires accurately modeling the complex spatio-temporal dynamics of ...

With the rapid development of mobile Internet technology, online social networks are gradually integrated in people’s lives, entertainment and work. Rumor information appears accompanied by the ...

With the rapid advancement of socioeconomic development and urbanization, urban vehicle populations have witnessed an exponential growth trend, accompanied by continuously increasing traffic volume.

Abstract: 3D meshes are fundamental data representations for capturing complex geometric shapes in computer vision and graphics applications. While Convolutional Neural Networks (CNNs) have excelled ...

Long noncoding RNAs (lncRNAs) regulate physiological processes via interactions with macromolecules such as miRNAs, proteins, and genes, forming disease-associated regulatory networks. However, ...

With the basic structure and parameters of the model remaining unchanged, this section analyzes and compares two types of network structures with input image sizes of 128 × 128 and 256 × 256. The ...

An in-depth look at the world of deep learning. Deep learning is a hyponym in relation to “machine learning”, which in turn is a hyponym in relation to artificial intelligence. Over the past few years ...