Apple, Garmin, Samsung, Google or Amazfit? I compared each one against a chest strap for heart rate accuracy and found a ...

Objectives Since 1985, the international healthcare community has recommended the ideal rate of caesarean section (CS) to be 10%–15% at the national level. The literature has reported that overused CS ...

Abstract: Data mining, particularly multivariate time series data analysis, is crucial in extracting insights from complex systems and supporting informed decision-making across diverse domains.

The response rates for December 2025 were 70.6 % based on forms returned. This accounted for 85.5% of total turnover coverage of the sample population. For further information, see our Current and ...

Dark matter is a type of matter that is predicted to make up most of the matter in the universe, yet it is very difficult to ...

Fundamental has built a new foundation model to solve an old problem: how to draw insights from the huge quantities of ...

This academic seminar series explores a broad range of topics such as data science, urban planning and urban networks and ...

What is Singular Spectrum Analysis (SSA)? Singular Spectrum Analysis (SSA) is a non-parametric technique in machine learning used to analyze and forecast time series data. SSA decomposes a time series ...

Temperature impacts every part of the world. Meteorological analysis and weather forecasting play a crucial role in sustainable development by helping reduce the damage caused by extreme weather ...

NVIDIA introduces NV-Tesseract, a model family transforming time-series data analysis, enhancing anomaly detection, forecasting, and classification across industries including finance and healthcare.

Abstract: In time-series data analysis, identifying anomalies is crucial for maintaining data integrity and ensuring accurate analyses and decision-making. Anomalies can compromise data quality and ...