Multi-agent task allocation plays a crucial role in achieving efficient collaboration in heterogeneous multi-agent systems, especially in complex and dynamic environments. However, existing ...

Modeling semantic and structural information from tabular data remains a core challenge for effective table understanding. Existing LLM-based table understanding methods face a fundamental dilemma: ...

I am seasoned technology expert and developed applications in Java, Python and Data Science and AI technologies. I am seasoned technology expert and developed ...

Abstract: Existing non-stationary cross-modal hashing methods generally focus on continuous data growth but fail to handle the concept drift problem. Moreover, they typically rely on a single hash ...

Artificial intelligence (AI) is eroding traditional de-identification practices by enabling accurate re-identification of images, text and behavioural traces. A systematic review of 64 peer-reviewed ...

The application of artificial intelligence in stock price forecasting is an important area of research at the intersection of finance and computer science, with machine learning techniques aimed at ...

Pore space in tight sandstone formation is very complex with micro-scale and nano-scale pores/throats, the multi-scale characteristics needs to be considered for the construction of microscopic pore ...

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