A new machine learning framework designed to detect malicious interference in unmanned aerial vehicles (UAVs), commonly known as drones, has shown strong performance in identifying both sudden and ...

Abstract: The Internet of Things (IoT) oriented intelligent services require high-quality sensor data delivery in the wireless sensor networks (WSNs). However, either due to the sensor malfunctions ...

Abstract: In recent years, multi-sensor fusion has become a vital part of reliable Unmanned Aerial Vehicle (UAV) navigation, particularly in compound operational environments. However, traditional ...

If you build engines, tune cars, or even just like mashing your foot on the throttle with conviction, you’ve probably heard the term “wideband O2 sensor” being thrown around at the track, dyno ...

CGBridge is a novel framework designed to enhance the code understanding capabilities of Large Language Models (LLMs) by integrating rich structural information from code graphs. Our approach follows ...

I live in New Jersey, one of the states that mandates inspection for all vehicles newer than 1995. My daily driver, a Jeep Cherokee, happens to be a 1996 model year with an OBD-II sensor, meaning I ...

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...

Every new piece of technology reveals something new and interesting about the golf swing. When it comes to grip pressure—meaning, how hard you should squeeze the grip while you swing—we started with ...

We may receive a commission on purchases made from links. Modern cars are designed to be more efficient and eco-friendly than ever. Automakers build vehicles with a wealth of advanced features to not ...