Under Review of ICLR'25 Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts Under Review of ICLR'25 FlexTSF: A universal forecasting model for time series with variable ...

However, developing diagnostics and prognostics-based condition monitoring systems become challenging as magnetic signals-based wind time series exhibit non-linear and non-stationary characteristics ...

In this book, you learn how to build predictive models for time series. Both the statistical and deep learnings techniques are covered, and the book is 100% in Python! Specifically, you will learn how ...

Abstract: Currently, recurrence plot (RP) is a good tool to analyze the non-stationary sea clutter time series for small target detection in the existing detectors. To further improve detection ...

This book is a monograph on case studies using time series analysis, which includes the main research works applied to practical projects by the author in the past 15 years. The works cover different ...

A time series is a sequence of measurements performed at successive points in time. Time series can be used to derive models to predict future values based on previously observed values.

Katherine Legge’s strong recent run at Talladega in the NASCAR Xfinity Series earns her praise from fans, despite her race ...

New Battlefield 6 leaks have just dropped, showcasing striking global illumination and vehicular warfare in DICE's upcoming ...