Abstract: This paper addresses the challenge of fault type identification in distribution networks, where small-current grounding systems often lead to weak fault current characteristics and limit the ...

Abstract: Deep learning (DL) is widely used in radio frequency fingerprint identification (RFFI). However, in few-shot case, traditional DL-based RFFI need to construct auxiliary dataset to realize ...

I have zero coding skills, but I was able to quickly assemble camera feeds from around the world into a single view. Here's how I did it—and what it means for all of us. I'm the Executive Editor, ...