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IEEE

Anomaly Detection Using Generative Language Models and Deep Feature-Based Time Series Similarity

Abstract: Time series data play a critical role in decision-making across domains such as environmental monitoring, industrial equipment management, and financial market analysis. However, these data ...

Zhoupu Data Obtains Machine Learning Anomaly Detection Patent, Empowering Intelligent Business Processes **AI Patent**

The patent obtained by Zhoupu Data focuses on utilizing machine learning technology for business process anomaly detection.

Zhoupu Data Obtains Patent for Machine Learning Anomaly Detection, Empowering Intelligent Business Processes **AI Patent**

The patent obtained by Zhoupu Data focuses on utilizing machine learning technology for business process anomaly detection. In the context of accelerated digital transformation, the demand for process ...
IEEE

TWavefussion: Wavelet-based Diffusion with Transformer for Multivariate Time Series Anomaly Detection

Abstract: Multivariate Time Series (MTS) anomaly detection is challenging in distinguishing anomalous data from normal data in high-dimensional, complex distributions. Even some deep learning methods ...