We propose U-VLM, which enables hierarchical vision-language modeling in both training and architecture: (1) progressive training from segmentation to classification to report generation, and (2) ...

Abstract: The accumulation of large-scale multi-omics datasets has brought new opportunities for precise disease treatment. However, the inherent complexity of inter- and intra-omics relationships ...

The final, formatted version of the article will be published soon. Machine learning for voice disorders relies heavily on accurate diagnostic classification, yet progress has been limited by ...

ABSTRACT: This study proposes a multimodal AI model for classifying Vietnamese digital learning materials by integrating three key information sources: text content, image and graphic features, and ...

ABSTRACT: The study aims to provide insights into the benefits and potential risks associated with its adoption. The findings will be valuable for organizations considering transitioning to SDN, ...

This library offers a flexible and scalable solution for developers integrating multi-currency wallet functionality. It adheres to standard protocols for compatibility with other wallets and services, ...

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