This paper introduces a deep learning based anomaly detection method. The method is able to effectively detect anomalies while maintaining the accuracy of normal data. The method first learns the distribution of normal data through a deep learning model. Then, the anomaly score of the data is calculated through statistical methods. Finally, the data is judged to be abnormal based on the threshold. Experimental results show that the method can effectively detect abnormal data and maintain the accuracy of normal data.
This document serves as the official user guide for the Aprilia ATLANTIC 250 i.e., covering vehicle usage, basic maintenance procedures, and periodic checks required by authorized dealers. It emphasizes that operations not explicitly described require special tools or technical knowledge and should be performed by professional technicians. This manual is written in French.
This manual provides a simple and clear guide for using the vehicle, along with instructions for basic maintenance operations and periodic checks.
Failure to fully or partially comply with these prescriptions can cause serious damage to the vehicle and may result in warranty cancellation.
Operations not explicitly described require special tools or specific technical knowledge, so it is advised to contact authorized Aprilia dealers.