In this article, we present and discuss key findings of a project applying anomaly detection ... set is used to train a machine learning model, while the test set is used to evaluate the model's ...

To address this, rapid large-scale detection and precise quantification of mining-induced subsidence are critical. Therefore, this study develops wide-area subsidence calculation model integrating ...

To mitigate security threats, Intrusion Detection Systems have been proposed ... This paper presents a neural network model based on a hybrid CNN-LSTM architecture to detect several attacks in the ...