Abstract: Human trafficking is a serious problem that requires new ideas and data-driven approaches to identify and solve. In this study, we analyze large datasets to identify patterns and anomalies ...
Transfer Learning for Anomaly Detection in Rotating Machinery Using Data-Driven Key Order Estimation
Abstract: The detection of anomalous behavior of an engineered system or its components is an important task for enhancing reliability, safety, and efficiency across various engineering applications.
AI data centers require incredible amounts of energy to run. NPR's Planet Money investigates how that demand for power might affect your electric bills. Tech companies invested hundreds of billions of ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results