Currently. the decision boundary of the multi-class anomaly detection algorithm based on deep learning does not sufficiently capture the positive class region. posing a risk of abnormal sample features falling into the domain of normal sample features and potentially leading to misleading outcomes in practical applications. In response to the above problems. https://www.incredibleindiatourtravels.com/