Unlocking defect-free graphene electrodes for transparent electronics

Transparent electrodes transmit light while conducting electricity and are increasingly important in bioelectronic and ...
IEEE

GDNET: A Graph Convolution And Hybrid Dilated Convolution Network For Road Extraction From High-Resolution Satellite Images

Road extraction from high-resolution remote sensing images has become a critical task in various applications. Accurate road extraction is essential for generating up-to-date maps,supporting ...
Mirage News

LLM-Enhanced Few-Shot Entity Resolution Framework

Entity resolution (ER) aims to identify and match records referring to the same entity from multiple data sources, which is a crucial task in data ...
EurekAlert!

A LLM-enhanced few-shot entity resolution framework with uncertainty calibration

Entity resolution (ER) aims to identify and match records referring to the same entity from multiple data sources, which is a ...
IEEE

Super-Resolution Perception Assisted Spatiotemporal Graph Deep Learning Against False Data Injection Attacks in Smart Grid

Abstract: Developing the deep learning (DL) technique is a promising way to enhance smart grid (SG) cybersecurity. However, previous DL methods require massive attack samples for cyberattack ...
Frontiers

CEEMDAN-TVF-EMD-TCN based method for elevated duct parameters predicting with high-resolution radiosonde data

1 School of Microelectronics, Tianjin University, Tianjin, China 2 School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China Introduction: Atmospheric ...