Doug Bonderud is an award-winning writer capable of bridging the gap between complex and conversational across technology, innovation and the human condition. By defining a set of normal user and ...
With an evolving nature of cyber threats accelerating at a speed considered too quick to be processed by most establishments, ...
Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...
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XAI-based anomaly detector for the smart grid to protect against sophisticated cyber threats
SUNY Poly Assistant Professor Dr. Mahmoud Badr and peers have published new research in Applied Sciences titled "XAI-Based Accurate Anomaly Detector That Is Robust Against Black-Box Evasion Attacks ...
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 ...
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 ...
As leaders begin implementing biometrics, passkeys and AI threat detection, there are several core design principles they ...
Researchers from Politecnico di Milano propose a data-driven water leak detection method that treats leaks as anomalies in ...
Automation experts from Beckhoff, DigiKey and Siemens Digital Industries explain how AI enhances motion control across ...
The identification of potential microbial contamination in cell cultures is an integral part of cell therapy manufacturing to ensure their safety, sterility and quality prior to use in patients ...
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