Within hours I paused an ongoing Opus 4.7 benchmark, swapped the API keys, and ran the exact same methodology on ...

This important work attempts to understand observed variability in oral shedding of SARS-CoV-2 and suggests that routine clinical factors are not determinative. The evidence supporting the conclusion ...

This important study introduces an advance in multi-animal tracking by reframing identity assignment as a self-supervised contrastive representation learning problem. It eliminates the need for ...

Abstract: Data stream mining is a research area that has grown enormously in recent years. The main challenge is extracting knowledge in real-time from a possibly unbounded data stream. Clustering, a ...

Drydocks World, a DP World company, and Cochin Shipyard Limited (CSL) have signed an Agreement of Heads of Terms to evaluate and develop India’s first ship repair cluster at the International Ship ...

Department of Chemistry, University of Copenhagen, Universitetsparken 5, DK 2100 Copenhagen, Denmark Department of Chemistry, Technical University of Denmark, Kemitorvet 207, DK 2800 Kongens Lyngby, ...

Advanced K-Means clustering system for customer analytics and segmentation using machine learning. Includes RFM analysis, business insights, and actionable marketing strategies. - ...

Stock returns exhibit nonlinear dynamics and volatility clustering. It is well known that we cannot forecast the movements of stock prices under the condition that market is efficient. In most ...

Patients with heart failure and reduced ejection fraction (HFrEF) have a high residual risk for heart failure hospitalizations and cardiovascular death. We aimed to use multimodality data to identify ...

There is a strong association between vascular risk factors, particularly in midlife, and stroke risk; therefore, the co-occurrence of multiple risk factors may be especially informative. This study ...