Using Torque and RPM Loss to Estimate the Presence of Icing Clouds with UAVs
AviationMachine LearningDrone EngineeringAcademic Research
Drones struggle to fly in icing and cloudy conditions, especially when the two are combined. This research project focuses on the automation of drones for monitoring rotational speed (RPM) and torque loss when traversing cloud and icing conditions. Cameras and radar systems are e...
This paper investigates the implementation of AI-driven chatbots as a solution to streamline academic advising and improve the student experience. Through a review of preliminary results from the Nittany Advisor chatbot, we show how AI chatbots can boost advising efficiency, incr...
Preliminary results are promising but more studies to further assess and quantify the outcomes is crucial.
Overlapping intent categories remain a challenge for ML classifiers.
A hybrid advising model that leverages both AI and human advisors remains the long-term goal.
