124 天前 - … , the application of machine learning for accurate anomaly detection and classification,
the … for our unified anomaly detection framework. • Unified anomaly detection framework: …

132 天前 - … accurate WLD prediction model can aid the bridge SHM systems in abnormal data
detection … To overcome the above limitations, we proposed a predictive framework for the …

134 天前 - … of abnormal event detection. For example, Revathi et al.[9] constructed a complete
anomaly detection framework … framework, the model achieves more accurate and efficient …

134 天前 - … accurate early detection of … detection framework in this paper adopts a top-down
design, consisting of a central controller and multiple hierarchical edge nodes. This framework …

135 天前 - … framework consisting of multiple classification models, rather than relying on a single
best-performing model, for the reliable classification and identification … anomaly detection …

143 天前 - … A smart city water distribution system offers a dependable and trustworthy water
supply … , predictive analysis, the identification of anomalous events from recorded time series …

145 天前 - … reliably conduct the source analysis of APT attack events, we are researching the
utilization of Deep Learning models within the network forensic framework… anomaly detection,” …

145 天前 - … These datasets enhance the ML/DL models in smart grid applications such as
anomaly detection and classification, thereby contributing to the reliable and efficient operation of …

145 天前 - … in improving dietary there are adequate safe spaces patterns both inside and outside
for … the supply of high-fat implementation framework on mutton faps under the Trading the …

163 天前 - … a new framework for detecting anomalies in EHRs using … ensures the preservation
of accurate health data but also … settings, rigorous and reliable anomaly detection in EHRs is …