IEEE

Detectability Driven Recommendation of Anomaly Detection Models for Time-Series Data

Abstract: Anomaly detection for time-series data has been viewed widely in many practical applications and caused lots of research interests. A popular solution based on deep learning techniques is ...
GitHub

Toto - Time Series Optimized Transformer for Observability

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 ...
IEEE

Optimized Time Series Feature Selection for Manufacturing AI: Reducing Complexity and Improving Classification Accuracy

Abstract: Although AI enhances productivity and quality in manufacturing, real-time validation remains difficult due to the complexity and high-dimensionality of time series data under strict ...
GitHub

CO₂–Temperature Coupling Pipeline

The project was evaluated in a peer-reviewed academic setting, with emphasis on scientific rigor, reproducibility, and methodological clarity. Carbon dioxide plays a fundamental role in Earth’s carbon ...