Ingest from any source, generate with any LLM, verify every sample against its origin, recover what fails, and export trainer-ready datasets with full provenance. Synthetic data is the fastest way to ...

Abstract: Utilizing fake data (simulated based on mechanism models or generated through data-driven models) for data enhancement is a popular approach to solve the problem of fault diagnosis with ...

Abstract: This article provides a secure distributed output feedback model predictive control (DOFMPC) solution for the leader-following consensus problems of homogeneous linear disturbed multi-agent ...

Cardinality estimation (CardEst) plays a crucial role in the optimization of query execution plans. Over the past decade, a number of methods have been proposed to address this issue, but limitations ...