Qijie Zhou

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Abstract Deciphering how different types of behavior and ultrasonic vocalizations (USVs) of rats interact can yield insights into the neural basis of social interaction. However, the behavior-vocalization interplay of rats remains elusive because of the challenges of relating the two communication media in complex social contexts. Here, we propose a machine learning-based analysis system called ARBUR.

1. Introduction Among general aviation options, turboprop aircraft stand out as a highly economical means of global transportation. However, their operations may be impacted by foreign objects that may arise during all stages of flight, including hail and ice [1,2] while traversing in clouds or icing environments, birds [3,4] during takeoff and landing maneuvers, and even sand particles [5,6] originating from runways or inclement weather.