Abstract: Uncovering the mathematical structure of unknown chaotic systems from limited time series data poses a significant challenge in the field of dynamical systems, with broad applications across ...

Objective: Analyzing the changes in service efficiency and medical cost structure of the GE1 group (including GE13 and GE15) in a tertiary comprehensive medical institution in Nantong, China, before ...

Abstract: Multivariate time series forecasting plays an important role in many domain applications, such as air pollution forecasting and traffic forecasting. Modeling the complex dependencies among ...

Toto is a foundation model for multivariate time series forecasting with a focus on observability metrics. This model leverages innovative architectural designs to efficiently handle the ...

Time-series data—measurements collected at regular intervals, like stock prices or traffic flows—has become a key driver of intelligent decision-making systems across industries. From medical ...

Time-series data—measurements collected over time like stock prices or heart rates—plays a vital role in AI forecasting systems across industries. As these systems advance, the need for time-series ...

Solargis’ Evaluate 2.0 platform uses more granular time series data. Image: Solargis. For years, the solar industry has relied on Typical Meteorological Year (TMY) data as the standard for PV ...

Don Murray is cofounder of Safe Software and has spent his career helping organizations bring life to data to make better decisions. More than ever, a business' ability to make swift, informed ...

Ahead of today’s Warner Bros. Animation studio focus panel at the Annecy Animation Festival, Variety has learned that Cartoon Network Studios (CNS) is working on three new “Adventure Time” properties, ...

1 International School, Beijing University of Posts and Telecommunications, Beijing, China 2 School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China Time ...