MatrixSpace delivers an advanced AI-enabled, portable C-UAS detection platform, addressing the urgent need for highly accurate counter drone capabilities. The MatrixSpace AI Platform provides ...

Credit: Getty Images The ATS/ERS 2025 statement on interstitial pneumonia classification, an update of the 2013 statement, reflects new thinking on IP, PPF, molecular pathology, and treatments. The ...

ABSTRACT: From the perspective of student consumption behavior, a data-driven framework for screening student loan eligibility was developed using K-means clustering analysis and decision tree models.

Privia Health's asset-light, high turnover model is hampered by persistently thin margins, negative economic profit, and a lengthy cash conversion cycle. Despite revenue growth and onboarding new ...

Globally, transportation systems are under pressure to adopt and ensure more sustainable, inclusive, and efficient systems as cities become more complex and connected. Consequently, in the quest to ...

Abstract: The traditional matrix classifier does not perform well in dealing with the problems of limited information and low computational efficiency, especially in the multitask environment. For ...

Abstract: Given the sensitivity of traditional matrix classifiers to noisy signals, a new classification method called multitask twin pinball kernel matrix classifier (MTTPKMC) is proposed. MTTPKMC ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Multiclass data sets and large-scale studies are increasingly common in omics sciences ...

ImmCellTyper presents a useful toolkit for CyTOF data analysis, integrating BinaryClust for semi-supervised clustering and cell type annotation. The evidence supporting the findings is convincing, ...

PR1, W1, T51, F58, SL4, KL3, SM11. This is not a test to crack a code. But you will see a series of letter and number combinations while engaging with the Paralympics in Paris. At the Olympics, there ...