Abstract: The paper introduces a generic deep learning–based method using a sliding window computing algorithm based on long short-term memory (LSTM) networks for the classification of potential anomalies (e.g., cracks, potholes, ...

Abstract: The paper introduces the development of an instrumented bicycle and its sensing technology and presents a mobile app named Instrumented Bike and a Google Cloud website to demonstrate how the instrumented bicycle advances ...