Traffic forecasting on freeways has long relied on deep learning models, especially graph neural networks that blend graph theory with deep learning. These models are great at learning complex time and space patterns. However, traditional graph convolutional networks (GCNs) sometimes struggle with l
The Federal Bureau of Investigation (FBI) has given a heads-up to sports leagues. They warn that top players flaunting their wealth on social media platforms could be targeted by burglars. It’s not just any burglars, but possibly organized groups from South America who monitor athletes' schedules an
Imagine having the ability to identify sports activities just by using basic motion data. This is exactly what a new method called Human Activity Recognition (HAR) does. By using sensors and special learning algorithms, HAR can tell the difference between various sports activities with impressive ac
With China aiming for a greener future, the spotlight is on making farming cleaner. This study looked at 268 cities in China, checking how well they cut carbon emissions in agriculture from 2001 to 2022. By using social network analysis and tweaking a gravity model, researchers found interesting pat
In the world of the Internet of Things (IoT), choosing the right Medium Access Control (MAC) protocol is super important. This is because different applications need different services. In this paper, scientists introduced a new protocol called Energy Efficient and Group Priority MAC (EEGP-MAC). It
Did you know that sneaky fraudsters and bots might have a tough time hiding online? Researchers have discovered a clever way to stay ahead of them, using what's called graph networks. They found that focusing on the details of network nodes was way more effective than using fancy graph embeddings. T
As we enter 2025, many people are wondering how to manage their health care costs effectively. One important fact to keep in mind is that most of the basics of health insurance won't change. This might seem like a good thing, but it also means that the risk of unexpected bills remains, especially wi
Ever wondered how computers can learn from pictures? One cool way is by using something called a Generative Adversarial Network, or GAN. This type of AI can take a medical image, like a neuroimage, and transform it from one form to another. For example, it can turn a high-quality 3 Tesla image into
Ethereum runs on a peer-to-peer network that's crucial for its security, user privacy, and network availability. Knowing how this network looks (its topology) is a big deal, but it's hard to figure out because the information is buried deep inside individual network nodes. This is where TopoShot com
Imagine trying to pick out a single guitar riff from a busy rock song. That's similar to what scientists are doing with muscle signals, known as surface electromyography (sEMG). They're aiming to spot tiny muscle units, called motor units (MUs), in real time. A recent study took a clever approach us
