IEEE

Series Arc Fault Identification Based on a Novel Newton-Optimized Sparse Kernel Support Vector Machine

Abstract: Existing machine learning-based methods for series arc fault (SAF) identification still suffer from slow training speed when dealing with large-scale SAF datasets. For this reason, we ...
GitHub

RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards

@article{li2024rag, title={RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards}, author={Li, Xinze and Mei, Sen and Liu, Zhenghao and Yan, Yukun and Wang, Shuo and Yu, ...
IEEE

Sea Ice Thickness Inversion Based on Support Vector Regression for FengYun-3E IDW Data

Abstract: Due to the increasing demand for monitoring sea ice thickness (SIT) in the global environment, the SIT inversion based on global navigation satellite system-reflectometry (GNSS-R) has ...