Anomaly detection in images is rapidly emerging as a critical field in both industrial quality control and medical diagnostics. Leveraging deep learning techniques, researchers have developed methods ...

Anomaly detection is the process of identifying events or patterns that differ from expected behavior. Anomaly detection can range from simple outlier detection to complex machine learning algorithms ...

Modern supply chains have become highly digitized, producing an unprecedented volume and complexity of data. Large enterprises operate vast integration pipelines linking systems like SAP S/4HANA, SAP ...

Artificial intelligence is reshaping cybersecurity, but much of that progress has focused on cloud and enterprise ...

The most important challenge to the security of blockchains remains the protection of users from malicious signature requests as the adoption of cryptocurrencies goes on to gain even more momentum. A ...