A liver cancer diagnosis frequently leads to surgery, with the goal of completely removing all malignant tissue. To ensure ...

We present an interpretable implementation of the autoencoding algorithm, used as an anomaly detector, built with a forest of deep decision trees on FPGA, field programmable gate arrays. Scenarios at ...

Anomaly detection can be powerful in spotting cyber incidents, but experts say CISOs should balance traditional signature-based detection with more bespoke methods that can identify malicious activity ...

In cybersecurity, anomaly detection in tabular data is essential for ensuring information security. While traditional machine learning and deep learning methods have shown some success, they continue ...

Dr. techn. Ulrich Krispel ulrich.krispel@fraunhofer.at ...