A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Read more about AI-driven air quality system promises faster, more reliable urban health warnings on Devdiscourse ...
A nationwide cake mix recall has been escalated to the U.S. Food and Drug Administration's most serious classification — a Class I recall — after it was determined that the products contain an ...
Unleashing the Potential of Hierarchical Region Clues for Open-Vocabulary Multi-Label Classification
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 ...
Abstract: Ensuring traffic safety in autonomous vehicles requires accurate weather and severity recognition, especially when operating within a defined operational design domain (ODD). However, most ...
NEW YORK – Tuesday December 2, 2025 – Bloomberg today announced that Marshall Wace, a leading global liquid alternatives manager with $70BN+ in assets, has adopted Bloomberg’s Multi-Asset Class ...
Despite numerous headwinds, including a challenging financing landscape and economic uncertainty, investors of multifamily assets continue to look for acquisition opportunities. Many of these ...
“Judge Stein replicated the ChatGPT output of several summaries of Martin’s works and concluded that ‘the summary conveys the overall tone and feel of the original work by parroting the plot, ...
ST Engineering has launched the Republic of Singapore Navy (RSN)'s first Victory-class Multi-Role Combat Vessel (MRCV), Victory, at its Benoi Yard. MRCV Victory is the first of six MRCVs to be built ...
I have read the paper and it seemed to be a single-label multi-classification problem. But the code use BCE and sigmoid instead of crossEntropy and softmax. So does it mean that the patient may have ...
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