Objective The aim of the study was to assess the psychometric properties of the Afaan Oromoo version of Generalised Anxiety ...

PROB adapts the Deformable DETR model by adding the proposed 'probabilistic objectness' head. In training, we alternate between distribution estimation (top right) and objectness likelihood ...

Objective To quantify the association between physical activity and risk of SARS-CoV-2 infection, COVID-19-associated hospitalisation, severe illness and death due to COVID-19 in adults. Design A ...

Abstract: In this paper, we propose a new learning-guided approach for diagnosis of intra-cell defects that may occur in customer returns. In the first part of the paper, only static defects modeled ...

Advanced large language models outperformed clinicians in pediatric diagnosis, particularly for rare diseases, with Claude-3.5 Sonnet and o1-preview showing the highest accuracy and consistency across ...

This year, in tech, began with the rise of Agentic AI. A little less than two months into 2026, the AI debate has already been hijacked by AI agents, their capabilities, and their benefits for ...

Objectives This study aimed to employ machine learning algorithms to predict the factors contributing to zero-dose children in Tanzania, using the most recent nationally representative data. Design ...

Abstract: In the node classification task, it is natural to presume that densely connected nodes tend to exhibit similar attributes. Given this, it is crucial to first define what constitutes a dense ...

As we progress into 2025, Artificial Intelligence (AI) continues to reshape industries and revolutionize how we interact with technology. For those starting their journey in AI, it’s essential to ...

A British multinational design and engineering company behind world-famous buildings such as the Sydney Opera House has confirmed that it was the target of a deepfake scam that led to one of its Hong ...