Manufacturing technologies have been the first domain to experience this transformation. The review documents how artificial ...
A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...
A research paper by scientists from Beihang University proposed a machine learning (ML)-driven cerebral blood flow (CBF) prediction model, featuring multimodal imaging data integration and an ...
The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...
By training statistical and machine-learning models to predict expert visual scores, the study demonstrates that phenomics can match or outperform ...
Background Multiple long-term conditions (MLTCs) are common among individuals with heart failure (HF); however, the influence ...
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...
Dedehouanou, H. (2025) Assessment of Potential Measures Aimed at Improving Graduates’ Employability at the University of Abomey-Calavi in Benin. Creative Education, 16, 2186-2209. doi: 10.4236/ce.2025 ...
Nic Johnson on Melinda Cooper, Counterrevolution. Neoliberalism as programme to head off the radical potential of the ...
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