4 天前 - … optimize system functionality and reliability. Therefore, this paper proposed the
Shapely eXplainable Anomaly Detection (SXAD) framework to identify different events (features) …

12 天前 - … incident response framework, acting as an early detection … -proof but also ensures
reliable monitoring of the device’s … , are detected through an anomaly detection algorithm …

17 天前 - … framework that combines three unsupervised learning algorithms, including Local
Outlier Factor, Deep Isolation Forest, and Anomaly … the reliability of anomaly detection. The …

18 天前 - … Due to the complex temporal dynamics of the event-… as anomaly detection and
clustering. The overarching goal of this paper is to develop an unsupervised learning framework …

20 天前 - … The main idea of this study is that random models can be used as a statistical
framework to … for anomaly detection has shown promise in making detections more accurate by …

25 天前 - … framework effectively identifies outliers, pinpoints malicious network behaviors from
their origins, and categorizes them as either trusted … through data anomalies detection and …

26 天前 - … -centric visualization for accurate subsurface characterization … parameters provides
a rich framework for constructing a … Efficient drilling of a safe and stable well is crucial to both …

27 天前 - … Then, a framework for rapidly analyzing and processing … It can provide reliable data
interpretation function for … satellite remote sensing data anomaly detection technology based …

35 天前 - … first time a novel LLM-based ToD framework that can detect anomalies in multicast
messages in digital substations in a very efficient and reliable way. A comparison of the LLM-…

38 天前 - … data and study the separation of background noise and extraction of abnormal
regions in images, thus achieving image abnormality detection. For contour data, Zhang et al. [13…