The next major evolution will come from multi-agent systems—networks of smaller, specialized AI models that coordinate across ...

BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...

Colon cancer classification has a significant guidance value in clinical diagnoses and medical prognoses. The classification of colon cancers with high accuracy is the premise of efficient treatment.

Abstract: Open-vocabulary multi-label classification (OV- MLC) aims to leverage the rich multi-modal knowledge from Vision-language pre-training (VLP) models to further improve the recognition ability ...

Hyperspectral images (HSIs) have very high dimensionality and typically lack sufficient labeled samples, which significantly challenges their processing and analysis. These challenges contribute to ...

Rauma Marine Constructions (RMC), together with its subsidiary RMC Defence Oy, is building four Pohjanmaa-class multi-role corvettes for the Finnish Navy as part of the Squadron 2020 project. The high ...

In an era of rapidly growing multimedia data, the need for robust and efficient classification systems has become critical, specifically the identification of class names and poses or styles. This ...

On June 11, 2025, Vanguard filed an application with the U.S. Securities and Exchange Commission for a multi-class active ETF structure. The filing requests approval of a structure where Vanguard can ...

On March 12, 2025, the Securities and Exchange Commission (“SEC”) issued a notice on Ares Core Infrastructure Fund’s (“Ares”) application[1] for multi-class exemptive relief (the “Private Placement ...

Abstract: Auroral image classification has long been a focus of research in auroral physics. However, current methods for automatic auroral classification typically assume that only one type of aurora ...