XAI is a subset of AI that emphasizes the transparency and interpretability of machine-learning models. With XAI, the output or decision of the AI model can be explained and understood by humans ...

We can train a machine-learning system to identify the aforementioned anomalies as well as patterns and relations among data in different ways. The most common are: Supervised learning: We provide the ...

Anomaly detection in Aviation CPS is critical to ensuring safety and reliability. This systematic literature review explores the landscape of machine learning techniques used for anomaly detection in ...

The XAI-based model in this study provides clear reasoning for its detection decisions, making it easier for operators to understand and trust the system's outputs.

When you think about it, financial technology, machine learning, and anomaly detection are proving indispensable in today's ...

Artificial Intelligence (AI) has made tremendous progress in anomaly detection. However, AI models work as a black-box, making it challenging to provide reasoning behind their judgments in a Log ...

By detecting anomalies in vehicle components early, this system can contribute to improved vehicle safety and reliability. ##Features : Data collection and preprocessing utilities. Anomaly detection ...