|
|
|
Youngsun Jang, Kwanghee Won, Hyung-do Choi and Sung Y. Shin
This study compares the performance of graph convolutional neural network (GCN) models with conventional natural language processing (NLP) models for classifying scientific literature related to radio frequency electromagnetic field (RF-EMF). Specificall...
ver más
|
|
|
|
|
|
Li Huang, Bo Tang, Xingfa Liu and Jianben Liu
With the development of ultrahigh-voltage transmission lines in China, the reradiation interference caused by the steel tower used in ultrahigh-voltage transmission becomes increasingly aggravating for nearby radio stations. In this paper, using the mult...
ver más
|
|
|
|
|
|
Ivana Ramljak, Dinko Begu?ic and Josip Lorincz
To ensure effective spectrum usage, cognitive radio networks (CRNs) are being investigated extensively. The important function of CRNs is spectrum sensing (SS). This is the process of sensing the unused frequency spectrum and deciding whether the signal ...
ver más
|
|
|
|
|
|
Seongmin Park, Byungsun Cho, Dowon Kim and Ilsun You
Research to deal with distributed denial of service (DDoS) attacks was kicked off from long ago and has seen technological advancement along with an extensive 5G footprint. Prior studies, and still newer ones, in the realm of DDoS attacks in the 5G envir...
ver más
|
|
|
|
|
|
Ayshah S. Alatawi
Several industrial and scientific underwater applications require high-speed wireless connectivity. Acoustic communications have low data rates and high latency, whereas attenuation in seawater severely limits radio frequency communications. Optical wire...
ver más
|
|
|