Patients share personal stories in newest edition of medical society’s video series No one shares a patient story ...

A new study introduces a global probabilistic forecasting model that predicts when and where ionospheric disturbances—measured by the Rate of total electron content (TEC) Index (ROTI)—are likely to ...

Inefficient ducts force HVAC systems to work harder, raising costs. Rising heating bills, despite normal usage, may signal ...

The Neuberger Berman Next Generation Connectivity Fund trades at a ~14% discount. Learn more about its value and holdings.

Many of us have given up hope of cracking the top 1%. Apart from a lottery win, billion-dollar wealth will remain forever out ...

🚩 Updates (2025-04-24) Our paper has been featured on 时序人, QuantML, and PaperWeekly. 🚩 Updates (2025-02-27) Initial version available on arXiv FinTSB. FinTSB is a comprehensive and practical ...

Abstract: Due to the noise from different sources in the original SAR image data, the error in calculating the surface collapse deformation is relatively large ...

This project implements a system for detecting anomalies in time series data collected from Prometheus. It uses an LSTM (Long Short-Term Memory) autoencoder model built with TensorFlow/Keras to learn ...

The teenagers’ names are Sam and Ben, but to the federal immigration agents they interact with daily, the two boys wielding cell phones and taking down plate numbers are a duo known as “the brothers.” ...

Abstract: Traditional k-means clustering is widely used to analyze regional and temporal variations in time series data, such as sea levels. However, its accuracy can be affected by limitations, ...