In recent years, the application of Advanced Manufacturing Technologies (AMT) in industrial
processes represents the introduction of different Advanced Manufacturing Systems (AMS) …

A key challenge in anomaly detection is the imbalance between the amounts of normal and
abnormal signal data. Specifically, the amount of abnormal signal data is considerably less …

Fault-finding diagnostics is a model-driven approach that identifies a system's
malfunctioning portion. It uses residual generators to identify faults, and various methods like …

Numerous research methods have been developed to detect anomalies in the areas of
security and risk analysis. In healthcare, there are numerous use cases where anomaly …

Modern high-tech industrial enterprises are equipped with sophisticated equipment and
microprocessor technology. The maintenance of such production facilities is an expensive …

The emerging antimicrobial resistance (AMR) to current antimicrobial agents is the foremost
public health concern that continues to pose challenges in the selection of therapeutic …

Currently, large industrial enterprises, as well as engineering equipment manufacturers, are
successfully integrating the latest achievements in the field of artificial intelligence into the …

Die aufkommende antimikrobielle Resistenz (AMR) gegenüber aktuellen antimikrobiellen
Wirkstoffen ist das vordergründige öffentliche Gesundheitsproblem, das weiterhin …

Abstract Context: Bioinspired Artificial Intelligence (Bio-AI) has emerged as a transformative
tool in biomedical research, addressing challenges in cell labeling essential for …

Abstract Industrial Control Systems in the Smart Grid network are increasingly utilizing the
advantage offered by their interconnectedness through wireless sensors and smart devices …