Social media is used to categorise products or services, but analysing vast comments is time-
consuming. Researchers use sentiment analysis via natural language processing …

Industry 4.0 is strongly intertwined with big data streaming flows from intelligent sensors and
machinery installed in industrial facilities. Failures can disrupt production and lead the …

We introduce the novel Diffusion Visual Programmer (DVP), a neuro-symbolic image
translation framework. Our proposed DVP seamlessly embeds a condition-flexible diffusion …

The goal of the growing discipline of neuro-symbolic artificial intelligence (AI) is to develop
AI systems with more human-like reasoning capabilities by combining symbolic reasoning …

Neural-symbolic computing (NeSy), which pursues the integration of the symbolic and
statistical paradigms of cognition, has been an active research area of Artificial Intelligence …

This study investigates the influence of different media interventions on the dissemination of
online public opinion, analyzes its laws, and provides a theoretical basis for the control of …

Recently, a novel multimodal reasoning task named Explanatory Visual Question Answering
(EVQA) has been introduced, which combines answering visual questions with multimodal …

In recent years, intelligent fault diagnosis (IFD) based on Artificial Intelligence (AI) has
gained significant attention and achieved remarkable breakthroughs. However, the black …

The complexities arising from disparate data sources, conflicting contracts, residency
requirements, and the demand for multiple AI models in trade finance supply chains have …

Digital twins have revolutionized manufacturing and maintenance, allowing us to interact
with virtual yet realistic representations of the physical world in simulations to identify …