GitHub

Is Mamba Effective for Time Series Forecasting?

We propose S-Mamba, a Mamba-based model for time series forecasting, which delegates the extraction of inter-variate correlations and temporal dependencies to a bidirectional Mamba block and a ...
GitHub

Time Series Foundation Model - TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting

The official code for ["TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting (ICLR 2024)"]. TEMPO is one of the very first open source Time Series Foundation Models for ...
IEEE

A Novel Fusion and Feature Selection Framework for Multisource Time-Series Data Based on Information Entropy

Abstract: Information technology growth brings vast time-series data. Despite richness, challenges like redundancy emphasize the need for time-series data fusion research. Rough set theory, a valuable ...
IEEE

DADN: A Dynamic Anomaly Detection Network for Multivariate Time Series Data of the Industrial Internet of Things

Abstract: Industrial Internet of Things (IIoT) faces significant security challenges such as data privacy and vulnerabilities. Unsupervised anomaly detection aims to identify abnormal patterns by ...
Fox News

Self-healing concrete? Buried Pompeii site reveals secret behind Rome's enduring structures

Archaeologists excavating a Pompeii site uncovered the secret behind the longevity of ancient Roman structures: a unique concrete mixture that could chemically repair itself over time. A recent study, ...